id,plan,plan_en,billing,model,model_display,plan_gen,vendor,local_price,label,workload,list_price,price_usd,monthly_yi,real_usd_per_mtok,list_blended_usd_per_mtok,d,confidence,tier,source,note,unmetered,promo_until,data_date,data_date_kind,data_date_from,aa_intelligence_index__selection,aa_intelligence_index__configuration_count,aa_intelligence_index__configuration_id,aa_intelligence_index__variant,aa_intelligence_index__score,aa_intelligence_index__score_is_estimated,aa_intelligence_index__score_is_self_reported,aa_intelligence_index__agent_harness,aa_intelligence_index__reasoning_effort,aa_intelligence_index__service_mode,aa_intelligence_index__score_low,aa_intelligence_index__score_high,aa_intelligence_index__mean_cost_usd_per_task,aa_intelligence_index__median_cost_usd_per_task,aa_intelligence_index__source,aa_intelligence_index__mapping_kind,aa_intelligence_index__mapping_confidence,aa_intelligence_index__mapping_note,aa_intelligence_index__quota_effort_matched,terminal_bench_4__selection,terminal_bench_4__configuration_count,terminal_bench_4__configuration_id,terminal_bench_4__variant,terminal_bench_4__score,terminal_bench_4__score_is_estimated,terminal_bench_4__score_is_self_reported,terminal_bench_4__agent_harness,terminal_bench_4__reasoning_effort,terminal_bench_4__service_mode,terminal_bench_4__score_low,terminal_bench_4__score_high,terminal_bench_4__mean_cost_usd_per_task,terminal_bench_4__median_cost_usd_per_task,terminal_bench_4__source,terminal_bench_4__mapping_kind,terminal_bench_4__mapping_confidence,terminal_bench_4__mapping_note,terminal_bench_4__quota_effort_matched,aa_terminal_bench_4__selection,aa_terminal_bench_4__configuration_count,aa_terminal_bench_4__configuration_id,aa_terminal_bench_4__variant,aa_terminal_bench_4__score,aa_terminal_bench_4__score_is_estimated,aa_terminal_bench_4__score_is_self_reported,aa_terminal_bench_4__agent_harness,aa_terminal_bench_4__reasoning_effort,aa_terminal_bench_4__service_mode,aa_terminal_bench_4__score_low,aa_terminal_bench_4__score_high,aa_terminal_bench_4__mean_cost_usd_per_task,aa_terminal_bench_4__median_cost_usd_per_task,aa_terminal_bench_4__source,aa_terminal_bench_4__mapping_kind,aa_terminal_bench_4__mapping_confidence,aa_terminal_bench_4__mapping_note,aa_terminal_bench_4__quota_effort_matched,arena_code__selection,arena_code__configuration_count,arena_code__configuration_id,arena_code__variant,arena_code__score,arena_code__score_is_estimated,arena_code__score_is_self_reported,arena_code__agent_harness,arena_code__reasoning_effort,arena_code__service_mode,arena_code__score_low,arena_code__score_high,arena_code__mean_cost_usd_per_task,arena_code__median_cost_usd_per_task,arena_code__source,arena_code__mapping_kind,arena_code__mapping_confidence,arena_code__mapping_note,arena_code__quota_effort_matched,arena_agent_mode__selection,arena_agent_mode__configuration_count,arena_agent_mode__configuration_id,arena_agent_mode__variant,arena_agent_mode__score,arena_agent_mode__score_is_estimated,arena_agent_mode__score_is_self_reported,arena_agent_mode__agent_harness,arena_agent_mode__reasoning_effort,arena_agent_mode__service_mode,arena_agent_mode__score_low,arena_agent_mode__score_high,arena_agent_mode__mean_cost_usd_per_task,arena_agent_mode__median_cost_usd_per_task,arena_agent_mode__source,arena_agent_mode__mapping_kind,arena_agent_mode__mapping_confidence,arena_agent_mode__mapping_note,arena_agent_mode__quota_effort_matched,aa_coding_agent_index__selection,aa_coding_agent_index__configuration_count,aa_coding_agent_index__configuration_id,aa_coding_agent_index__variant,aa_coding_agent_index__score,aa_coding_agent_index__score_is_estimated,aa_coding_agent_index__score_is_self_reported,aa_coding_agent_index__agent_harness,aa_coding_agent_index__reasoning_effort,aa_coding_agent_index__service_mode,aa_coding_agent_index__score_low,aa_coding_agent_index__score_high,aa_coding_agent_index__mean_cost_usd_per_task,aa_coding_agent_index__median_cost_usd_per_task,aa_coding_agent_index__source,aa_coding_agent_index__mapping_kind,aa_coding_agent_index__mapping_confidence,aa_coding_agent_index__mapping_note,aa_coding_agent_index__quota_effort_matched,open_design_arena__selection,open_design_arena__configuration_count,open_design_arena__configuration_id,open_design_arena__variant,open_design_arena__score,open_design_arena__score_is_estimated,open_design_arena__score_is_self_reported,open_design_arena__agent_harness,open_design_arena__reasoning_effort,open_design_arena__service_mode,open_design_arena__score_low,open_design_arena__score_high,open_design_arena__mean_cost_usd_per_task,open_design_arena__median_cost_usd_per_task,open_design_arena__source,open_design_arena__mapping_kind,open_design_arena__mapping_confidence,open_design_arena__mapping_note,open_design_arena__quota_effort_matched,deepswe_1_1__selection,deepswe_1_1__configuration_count,deepswe_1_1__configuration_id,deepswe_1_1__variant,deepswe_1_1__score,deepswe_1_1__score_is_estimated,deepswe_1_1__score_is_self_reported,deepswe_1_1__agent_harness,deepswe_1_1__reasoning_effort,deepswe_1_1__service_mode,deepswe_1_1__score_low,deepswe_1_1__score_high,deepswe_1_1__mean_cost_usd_per_task,deepswe_1_1__median_cost_usd_per_task,deepswe_1_1__source,deepswe_1_1__mapping_kind,deepswe_1_1__mapping_confidence,deepswe_1_1__mapping_note,deepswe_1_1__quota_effort_matched
chatgpt_plus::gpt-5.6-sol,ChatGPT Plus,,subscription,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT 5.6 Sol · ChatGPT Plus,measured,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",20.0,6.16,0.032467532,0.588,0.0552,medium,main,awesome-coding-plan 2026-07-30 实测,未折算：样本无 token 分项（2026-07-30 实测只给 total），保留 raw,False,,2026-07-30,sample,,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_5x::gpt-5.6-sol,ChatGPT Pro 5x,,subscription,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT 5.6 Sol · ChatGPT Pro 5x,measured,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",100.0,30.8,0.032467532,0.588,0.0552,medium,full,Plus × 官方 5x,flat.json 写 38.9 与官方 5x 不符，改 30.8,False,,2026-07-30,derived,ChatGPT Plus · gpt-5.6-sol,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_20x::gpt-5.6-sol,ChatGPT Pro 20x,,subscription,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT 5.6 Sol · ChatGPT Pro 20x,measured,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,129.02,0.015501473,0.588,0.0264,high,main,五源实测加权：Observatory 143.6×3 + 《财经》109×3 + 网关 139.5×2 + 健康周 131.2×2 + imon139 120×1；chatgpt-quotas-round5 / caijing-2026-08 / chatgpt-pro20x-gateway-measurement-2026-09-06,裁定 123.2（Plus×20 派生）→129.02 亿加权值：权重沿用 Astra round14 惯例，派生值不入权仅对照；网关段间 108~154 亿、含两段 Astra 降权不剔除；健康周 7.87 亿=24%→131 亿；《财经》受控打满 109 亿为最低端；imon139 同帖口述「~30 亿/周」；文章 200 亿作废；未折算：五源加权、多数来源无 token 分项，保留 raw,False,,2026-06-10~2026-09-06,sample,,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_plus::gpt-5.6-luna,ChatGPT Plus,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · ChatGPT Plus,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",20.0,70.58,0.0028336639,0.0304,0.0932,high,main,"维护者Plus面板：112,666,769 total tokens = 周额度约6%；chatgpt-luna-adoption-round6-2026-09-08.json；workload-conversion-round1-2026-09-30.json","75.11→70.58亿（2026-09-30 裁定带分项实测统一折算）：段 worth $3.2185（cache 109.36M×$0.02＋入2.94M×$0.2＋出0.37M×$1.2）÷6%×4周＝$214.57 ÷标准档混合价$0.0304/MTok；raw 口径 75.11 留作对照。以下为原采用决策——旧120.12亿（Sol基准×统一credits价比19.5）→75.11亿：112,666,769÷6%×4周（原 raw 口径）；6%若为整数四舍五入，折算口径范围约65.2~77.0亿/月（raw 口径 69.33~81.94）；实测token构成为cache read 97.06%、普通输入2.61%、输出0.33%",False,,2026-09-08,sample,,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_5x::gpt-5.6-luna,ChatGPT Pro 5x,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · ChatGPT Pro 5x,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",100.0,352.91,0.0028335836,0.0304,0.0932,medium,full,Plus Luna实测×官方5x；chatgpt-luna-adoption-round6-2026-09-08.json,旧600.6亿→375.56亿→352.91亿：Plus Luna实测×官方5x（2026-09-30 折算口径 75.11→70.58 随动）；非Pro 5x账号独立实测,False,,2026-09-08,derived,ChatGPT Plus · gpt-5.6-luna,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_20x::gpt-5.6-luna,ChatGPT Pro 20x,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · ChatGPT Pro 20x,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",200.0,1411.63,0.0014168019,0.0304,0.0466,medium,main,Plus Luna实测×官方20x；GitHub #8社区美元等效旁证；chatgpt-luna-adoption-round6-2026-09-08.json,旧2402.4亿→1502.22亿→1411.63亿：Plus Luna实测×官方20x（2026-09-30 折算口径 75.11→70.58 随动）；按截图实际token组成折公开API价，约$1073/周，与社区‘Luna x20不到$1200、Sol x20约$2000’同量级。美元等效仅作池比旁证，不直接换token,False,,2026-09-08,derived,ChatGPT Plus · gpt-5.6-luna,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_plus::gpt-6-astra,ChatGPT Plus,,subscription,gpt-6-astra,GPT-6 Astra,,OpenAI,,GPT-6 Astra · ChatGPT Plus,measured,,20.0,1.59,0.12578616,,,high,main,"维护者Plus面板：10,336,745 tokens(input+cache_read) = 周窗剩余26pt；chatgpt-astra-adoption-round7-2026-09-11.json","新增1.59亿：10,336,745÷26%×4周；本次抽取未含output（Luna同法占0.33%，影响<1%）；26pt为取整读数差，范围约1.53~1.65亿；Plus定价页写明Astra为limited档（可加credits），直测的是实际消耗速率不受影响；round8发现Observatory现测Astra≈4.1×Sol，round7旧权重2×互证口径存疑，本值不依赖权重模型；round13新增Plus同框32~75M/周散布于1.28~3.0亿/月，与1.59亿同量级不改值；Pro20x已按round13挂点；未折算：抽取只含 input＋cache_read，缺 output 分项",False,,2026-09-11,sample,,highest_archived_reference,5,aa_intelligence_index:9b1da82a91856d8d,GPT-6 Astra (max),52.6737,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:e5bdec03718dfb8f,Codex - GPT-6 Astra (max),58.18,,False,Codex,max,,55.39,60.97,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:700453154be041cb,Artificial Analysis - GPT-6 Astra (xhigh),59.596,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2fa5b191581aaf87,gpt-6-astra-max,1789,,False,,max,,1778.6,1799.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:704fea58650c673b,GPT 6 Astra (Max),12.18,,False,,max,,9.9,14.459999999999999,,2.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:6ee94ff7d755eeee,Codex - GPT-6 Astra (max),61.645,,False,Codex,max,,,,7.4671,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:eab6a68a5b32527b,GPT-6 Astra,82.7,,False,OpenDesign,,,,,1.612939,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:aa4ad931eff45be4,mini-swe-agent - gpt-6-astra (xhigh),74.11504424778761,,False,mini-swe-agent,xhigh,,71.24964807371246,76.98044042186275,6.52377356460177,5.6717151,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_plus::gpt-6-sol,ChatGPT Plus,,subscription,gpt-6-sol,GPT-6 Sol,,OpenAI,,GPT-6 Sol · ChatGPT Plus,standard,,20.0,11.0,0.018181818,,,high,main,"维护者本机Codex实测：当日增量gpt-6-sol total 15,716,975 tokens（input 693,878/output 46,713含reasoning 14,925/cache_read 14,976,384，hit 95.57%）= 周额度约6%；chatgpt-gpt6sol-plus-round1-2026-09-24.json；workload-conversion-round1-2026-09-30.json","10.48→11亿（2026-09-30 裁定带分项实测统一折算）：段 worth $4.8502（cache 14.98M×$0.2＋入0.69M×$2＋出0.05M×$10）÷6%×4周＝$323.34 ÷标准档混合价$0.294/MTok；raw 口径 10.48 留作对照。以下为原采用决策——新增10.48亿：15,716,975÷6%×4周（原 raw 口径）；6%为口述取整，5.5~6.5%折算口径对应10.15~12.00亿（raw 口径9.67~11.43）；$2/$10与AA页标价一致，cached 0.1×推定未见官方页；昨日77.8M无周%检查点不参与；Pro 5x/20x不派生（裁定只挂Plus）；榜分见scores-gpt6sol-round1-2026-09-24.json",False,,2026-09-24,sample,,highest_archived_reference,6,aa_intelligence_index:ca545106241767d7,GPT-6 Sol (max),47.5276,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:c54c846fa56e7fb9,Artificial Analysis - GPT-6 Sol (max),43.9394,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:99658ae7db6b17a4,gpt-6-sol-max,1689,,False,,max,,1677.2,1700.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c3f5ba38fbb30407,GPT 6 Sol (Max),10.65,,False,,max,,8.08,13.22,,0.91,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:a5a1b714fe3ad343,Codex - GPT-6 Sol (max),56.6626,,False,Codex,max,,,,2.9897,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:63b060c2709bd850,GPT-6 Sol,89.9,,False,OpenDesign,,,,,0.296641,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
chatgpt_plus::gpt-6-luna,ChatGPT Plus,,subscription,gpt-6-luna,GPT-6 Luna,,OpenAI,,GPT-6 Luna · ChatGPT Plus,standard,,20.0,92.03,0.0021732044,,,high,main,"维护者本机Codex实测（effort=max）：新一周窗09-27 22:09 97%→09-28 20:44 91%增量全为gpt-6-luna total 137,648,446 tokens（input 3,129,683/output 757,355含reasoning 471,268/cache_read 133,761,408，hit 97.71%）；chatgpt-gpt6luna-plus-round2-2026-09-28.json","91.77→92.03亿（2026-09-30 裁定带分项实测统一折算）：段 worth $2.0293（cache 133.76M×$0.01＋入3.13M×$0.1＋出0.76M×$0.5）÷6%×4周＝$135.28 ÷标准档混合价$0.0147/MTok；raw 口径 91.77 留作对照。以下为原采用决策——44.05→91.77亿：137,648,446÷6%×4周（原 raw 口径）；面板整数%读数Δpp5~7折算口径对应78.88~110.44亿（raw 口径78.66~110.12）；本周22.94M tok/pp≈round1合并样本11.01M的2.08×（standard段10.20M的2.25×），两侧取整区间不重叠，判为周池放大或effort计权变化（本周max、round1未记effort，两因果链不可区分）而非噪声；裁定新一周分开记，round1 44.05亿留作对照不合并不平均；段内gpt-5.6-luna累计205,934,189、6sol/astra均未动，6pp全归6-luna；Pro 5x/20x不派生（沿Sol裁定）；榜分沿用scores-gpt6luna-round1-2026-09-26.json",False,,2026-09-27~2026-09-28,sample,,highest_archived_reference,6,aa_intelligence_index:e41e4b6709da24d4,GPT-6 Luna (max),37.256,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:4d4153eb38f2e84f,Artificial Analysis - GPT-6 Luna (max),12.6263,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:27376aa104f48f0e,gpt-6-luna-max,1582,,False,,max,,1573.0,1591.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:04bd9ba65c143398,GPT 6 Luna (Max),1.68,,False,,max,,0.27,3.09,,0.06,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:01e2ffcaa1665576,Codex - GPT-6 Luna (max),41.0744,,False,Codex,max,,,,0.1759,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:df380d7af56a8dd0,GPT-6 Luna,83.1,,False,OpenDesign,,,,,0.015871,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
chatgpt_plus::gpt-6.1-sol,ChatGPT Plus,,subscription,gpt-6.1-sol,GPT-6.1 Sol,,OpenAI,,GPT-6.1 Sol · ChatGPT Plus,standard,,20.0,8.7,0.022988506,,,high,main,"维护者本机Codex实测：周窗剩余81%→50%（31pp）整段 gpt-6.1-sol total 55,532,850 tokens（input 2,742,389/cache_read 52,536,064/cache_write 0/output 254,397含reasoning 72,105，hit 95.04%）；chatgpt-gpt61sol-plus-round1/round2/round3-2026-09-30.json；workload-conversion-round1-2026-09-30.json","7.75→8.7亿（2026-09-30 裁定带分项实测统一折算，并入第三段60%→50%后整体重算）：段 worth $13.2824（cache 52.54M×$0.10＋入2.74M×$2＋出0.25M×$10）÷31%×4周＝$171.39 ÷标准档混合价$0.197/MTok；GPT-6.1 Sol 官方价 $0.10/$2/$10（learn.chatgpt.com credits 2.5/50/250 ÷25，cached=输入5%，取代先按 6-Sol $0.2 假设的 8.96亿；若仍按 6-Sol 价为 8.14亿留作对照）；raw 口径 7.17 留作对照。；疑点（2026-10-01 裁定先记录、按整段 81%→50% 采用）：第三段 60%→50% 每 1% $0.330，比前两段 $0.476/$0.473 低约 30%，10pp 整数读数取整（约 ±10%）不足以解释，原因未明。缓存读价经2026-10-01 确认：GPT-6.1 Sol $0.10、GPT-6 Sol $0.20。原采用决策——新增7.17亿：整段55,532,850÷31%×4周（=81%→65%段30,109,568÷16pp + 65%→60%段10,562,908÷5pp + 60%→50%段14,860,374÷10pp，三段边界拼合且分量逐项吻合）；面板整数%读数Δpp30~32折算口径对应8.43~8.99亿；截图标题82%/32pp起始读数经更正为81%；按6.1官方credits档反推周池1,071cr（$42.85），linux.do观察Plus约3,426cr/周与Pro20x同池Sol-worth÷20更接近5.6等价费率下的$119.6/周——订阅内计费率或池口径差异记入不确定性；分段密度（6.1价）：seg1 $0.476/pp、seg2 $0.473/pp、seg3 $0.330/pp；Pro 5x/20x不派生（沿Sol裁定）；暂无榜分，有分后补supplement",False,,2026-09-30,sample,,highest_archived_reference,5,aa_intelligence_index:b6ad871a45a4a5df,GPT-6.1 Sol (max),51.8333,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:f935d95ba064b29b,Artificial Analysis - GPT-6.1 Sol (max),56.0606,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8cc100910da385f3,gpt-6.1-sol-max,1759,,False,,max,,1739.9,1778.1,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:9f60c3eaad821549,Codex - GPT-6.1 Sol (xhigh),62.9078,,False,Codex,xhigh,,,,1.0397,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:1f49b4d125f7e8d5,GPT-6.1 Sol,90.1,,False,OpenDesign,,,,,0.38203,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
chatgpt_pro_20x::gpt-6-astra,ChatGPT Pro 20x,,subscription,gpt-6-astra,GPT-6 Astra,,OpenAI,,GPT-6 Astra · ChatGPT Pro 20x,measured,,200.0,38.12,0.052465897,,,medium,main,8条实测源加权：Observatory 8.53、round10截图13.8、round13同框7.52、round14维护者面板10.0、msg7086 8.07、round14图4(2/3周)8.18、图2自述9.25、图3后台10.3亿/周；chatgpt-astra-round12/13/14,新增38.12亿：周池9.53亿×4周——实测源按验证等级加权（面板同框/维护者面板/连续序列×3、自述份额×2、社区口述×1），round10的10%与档位经确认由不采改为入权；round14新口径：周池≈$1200~1500 list-worth（Astra），同池Sol $2200~2500，内部计权对Astra惩罚~1.9×；维护者自测≈32亿/月与lichengzhe网关21~23亿按裁定不入权，纯口述与仅下限源不进均值；隐含权重≈3.38×Sol；同源真实测量仍散布6.8~15.6亿/周，账号间池子可能本就不同，此值为加权中心而非普适常数；未折算：八源加权、多数来源无 token 分项,False,,2026-09-07~2026-09-21,sample,,highest_archived_reference,5,aa_intelligence_index:9b1da82a91856d8d,GPT-6 Astra (max),52.6737,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:e5bdec03718dfb8f,Codex - GPT-6 Astra (max),58.18,,False,Codex,max,,55.39,60.97,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:700453154be041cb,Artificial Analysis - GPT-6 Astra (xhigh),59.596,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2fa5b191581aaf87,gpt-6-astra-max,1789,,False,,max,,1778.6,1799.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:704fea58650c673b,GPT 6 Astra (Max),12.18,,False,,max,,9.9,14.459999999999999,,2.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:6ee94ff7d755eeee,Codex - GPT-6 Astra (max),61.645,,False,Codex,max,,,,7.4671,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:eab6a68a5b32527b,GPT-6 Astra,82.7,,False,OpenDesign,,,,,1.612939,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:aa4ad931eff45be4,mini-swe-agent - gpt-6-astra (xhigh),74.11504424778761,,False,mini-swe-agent,xhigh,,71.24964807371246,76.98044042186275,6.52377356460177,5.6717151,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
devin_max::gpt-6-astra,Devin Max,,subscription,gpt-6-astra,GPT-6 Astra,,OpenAI,,GPT-6 Astra · Devin Max,standard,,200.0,11.15,0.1793722,,,medium,main,"维护者Devin Max面板cc usage：本周gpt-6-astra-high total 305,025,580 tokens（calls 667，in 1,998/out 369,918/cache_read 300,944,710/cache_create 3,708,954）= 周额度87pt（剩余100%→13%）；devin-usage-round4-2026-09-14.json；anthropic-token-mix-round1-2026-09-24.json；https://devin.ai/pricing Max $200/月","14.02→11.15亿（2026-09-24裁定按统一负载折算）：段 worth $356.55（cache读300.945M×$1＋写/输入3.711M×$10＋输出0.370M×$50；OpenAI无缓存写费，cache_create按普通输入计）÷87%×4周＝月$1639.31 list-worth ÷ 标准负载混合价$1.47/MTok；面板%取整区间约11.03~11.28亿；原始total口径305,025,580÷87%×4周＝14.02亿留作对照；87pt近满周样本（round2 20pt段的3.76倍）取代旧反推，raw周池406M→350.6M（-13.7%，round2/3留作历史证据）；命中率按含cache_create口径98.78%（与round2段97.84%同量级，极端缓存型负载）；swe-2-max等免费不占额度；折算假设Devin按标价比例扣额度；Pro $20档无数据不派生",False,,2026-09-14,sample,,highest_archived_reference,5,aa_intelligence_index:9b1da82a91856d8d,GPT-6 Astra (max),52.6737,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:e5bdec03718dfb8f,Codex - GPT-6 Astra (max),58.18,,False,Codex,max,,55.39,60.97,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:700453154be041cb,Artificial Analysis - GPT-6 Astra (xhigh),59.596,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2fa5b191581aaf87,gpt-6-astra-max,1789,,False,,max,,1778.6,1799.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:704fea58650c673b,GPT 6 Astra (Max),12.18,,False,,max,,9.9,14.459999999999999,,2.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:6ee94ff7d755eeee,Codex - GPT-6 Astra (max),61.645,,False,Codex,max,,,,7.4671,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:eab6a68a5b32527b,GPT-6 Astra,82.7,,False,OpenDesign,,,,,1.612939,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:aa4ad931eff45be4,mini-swe-agent - gpt-6-astra (xhigh),74.11504424778761,,False,mini-swe-agent,xhigh,,71.24964807371246,76.98044042186275,6.52377356460177,5.6717151,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
devin_max::claude-opus-5.5,Devin Max,,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Devin Max,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,66.9,0.029895366,0.394,0.0759,medium,main,"维护者Devin Max面板cc usage双检查点：云端周额度剩余75%→27%（差48pt）段内 claude-opus-5-5-xhigh +1,142 calls/+512,221,810 tok、claude-opus-5-5-high +118/+13,111,946，合计 +1,260 calls/+525,333,756 tokens；devin-opus55-round1-2026-09-23.json；anthropic-token-mix-round1-2026-09-24.json；https://devin.ai/pricing Max $200/月","43.78→66.9亿（2026-09-24裁定按统一负载折算）：本段实测负载 cache读91.97%/cache写7.67%/输入0.001%/输出0.365% 偏离标准档；按Opus 5.5标价 cached$0.2/写5m $5/in$4/out$20 折段 worth $336.37 ÷48%×4周＝月$2803.06 list-worth ÷ Anthropic档混合价$0.419/MTok；面板%取整区间约65.53~68.32亿；cache写按1h $8敏感性77.12亿不采；原始total口径525,333,756÷48%×4周＝43.78亿（取整42.88~44.71）留作对照；裁定48pp全归Opus 5.5（若段内有其他计费模型消耗，Opus实际所占pp更少、周池更大，本值偏保守）；swe-2等免费不占额度；worth对账：恒定池口径Opus5.5按约0.6×标价计（与Astra周池3.12×张力指向共享池模型加权）；仅本行与同面板Astra行折算；effort仅影响速率；Pro $20档无数据不派生",False,,2026-09-23,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_max::claude-opus-5.5,Droid Max,,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Droid Max,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,25.26,0.079176564,0.394,0.201,medium,main,"维护者Factory Droid本机实测：周额度（7-day rolling）已用1%→5%段（xhigh）+35,598,616 tok、5%@08:13→9%@12:40段（high，新会话47f9711d）+36,567,946 tok，合计+72,166,562 tok全为claude-opus-5-5（auto 0增量；glm-5.3-flash +50,317 属Droid Core免费池不计）；合计分拆 in 793,017/out 375,172/cache_create 3,640,056/cache_read 67,311,924/thinking 46,393；droid-opus55-max-round1-2026-09-29.json；https://factory.ai/pricing Max $200/月","首个Factory Droid点，按devin_max×opus-5.5同口径折算：1→9合计负载 cache读93.27%/cache写5.04%/输入1.10%/输出0.52%/thinking0.06%（hit 93.82%）偏离标准档；按Opus 5.5标价 cached$0.2/写5m $5/in$4/out$20（thinking 46,393不计费，裁定；与factoryCredits 16,935,482≈worth÷$4×1.6对账一致）折段 worth $42.34 ÷8%×2（Factory 30天窗＝2×7天窗，2026-10-03裁定；原按×4周为50.52亿）＝月$1058.45 list-worth ÷ Anthropic档混合价$0.419/MTok＝25.26亿；1%/9%为取整读数，Δpp∈[7,9]对应约22.46~28.87亿；cache写按1h $8敏感性26.96亿不采；原始total口径72,166,562÷8%×2＝18.04亿（周池902,082,025 raw）留作对照；factoryCredits 16,935,482≈2.12亿credits/周；两段4pp各8.90M/9.14M tok每pp（差2.7%），effort仅影响速率；Factory另有5h与30天滚动窗，月额度以30天窗（＝2×周池）为绑定约束；Pro $20/Plus $100官方仅写约1/10、1/5 Max用量，不派生",False,,2026-09-29,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_pro::claude-opus-5.5,Droid Pro,,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Droid Pro,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",20.0,2.15,0.093023256,0.394,0.2361,low,full,"X @SnowyWar36965 社区口述（2026-09-28，维护者转交截图）：Droid Pro $20 跑 Claude Opus 5.5 小动画用掉 5h 窗约70%，帖主按等价 API 消耗折算 5h≈$15.4、周≈$45、月≈$160（Max 10x≈$154/$450/$1,600，约合 1.76/5.1/18 亿 token）；droid-pro-opus55-community-round1-2026-09-29.json；https://factory.ai/pricing Pro $20/月","帖主周 list-worth $45×2（Factory 30天窗＝2×7天窗，2026-10-03裁定）＝$90 ÷ Anthropic档混合价$0.419/MTok＝2.15亿（同 droid_max×opus-5.5 口径；帖主自带 token 列 18亿/$1,600≈$0.89/MTok 为其自身负载，不采）；帖主月值 $160（3.82亿，原采用值）约为其周值3.56×，与30天窗＝2×周不符，不采；弱点：口述估算、无面板截图与 token 分拆、n=1、5h/周/月换算过程未公开 → low；对照：本机实测 Droid Max 月 worth $1,058.45 ÷ 官方约10× ＝ Pro 约$105.85（2.53亿），帖主值约为其 0.85×",False,,2026-09-28,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
google_ai_pro_us::gemini-3.8-flash,Google AI Pro,,subscription,gemini-3.8-flash,Gemini 3.8 Flash,,Google,,Gemini 3.8 Flash · Google AI Pro,lowCache,,19.99,25.81,0.0077450601,,,high,main,issue #54（NTRYourWaifu）：agy /quota 每 5 分钟轮询周额度 %，三个周窗、只计 3.8 Flash ≥95% 区段，853.43M raw = +165.77pp；community-issues-round1-2026-09-29.json；维护者本地实测：B整段55.343M raw(cache45.69M/in9.26M/out0.40M)=周条+9.88%；gemini-weekly-round7-2026-09-21.json；workload-conversion-round1-2026-09-30.json,20.70→25.81亿（2026-09-30 裁定带分项实测统一折算，低缓存档）：两样本 worth 按百分点合并（本机B段 cache 45.69M/入9.26M/出0.40M＝$11.8626＋#54 cache 695.70M/入146.25M/出11.48M＝$204.915）÷175.65pp＝$1.23415/pp → 周$123.42×4周 ÷ 低缓存档混合价$0.19125/MTok；实测 cache 82~84% 属低缓存族，标准档口径 44.78 亿不采；raw 口径 20.7 留作对照。以下为 2026-09-29 原采用决策（raw 口径）——22.41→20.70亿，2026-09-29 裁定：issue #54（agy /quota 每 5 分钟周额度 %，三个周窗，只计 3.8 Flash 占 95% 以上区段）853.43M raw = 周 +165.77 个百分点（单看 20.59），与维护者本机样本 55.343M = +9.88% 按百分点合并：(55.343+853.43)÷(9.88+165.77)＝5.1738M/pp ×100×4周＝20.70亿 raw。两样本 cache 命中均约 82.6%。worth 每 1% 约 $1.19~1.25，与 effort 无关。证据：community-issues-round1-2026-09-29.json；原样本见 gemini-weekly-round 证据。,False,,2026-09-12~2026-09-27,sample,,highest_archived_reference,3,aa_intelligence_index:a795ed51d673418d,Gemini 3.8 Flash (high),40.9262,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:206ddf92cd474c5f,mini-SWE-agent - Gemini 3.8 Flash (high),19.09,,False,mini-SWE-agent,high,,15.73,22.45,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,aa_terminal_bench_4:a1eae5d167a32a34,Artificial Analysis - Gemini 3.8 Flash (medium),19.697,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:cee78179b654f666,gemini-3.8-flash-high,1583,,False,,high,,1575.1,1590.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:60a00778bc1492a5,Gemini 3.8 Flash (High),2.96,,False,,high,,2.14,3.78,,0.58,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:68de21286728c605,Antigravity SDK - Gemini 3.8 Flash (high),41.8632,,False,Antigravity SDK v0.1.12,high,,,,2.4674,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:e5b1ca76e59dabd0,Gemini 3.8 Flash,68.9,,False,OpenDesign,,,,,0.210201,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,deepswe_1_1:a4e0e06e8292b616,mini-swe-agent - gemini-3-8-flash (high),73.8255033557047,,False,mini-swe-agent,high,,72.40819014906883,75.24281656234058,2.362349413758389,2.1098912999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
google_ai_pro_us::gemini-3.6-flash,Google AI Pro,,subscription,gemini-3.6-flash,Gemini 3.6 Flash,,Google,,Gemini 3.6 Flash · Google AI Pro,lowCache,,19.99,24.89,0.0080313379,,,medium,main,issue #55（NTRYourWaifu）：agy CLI 每 5 分钟轮询周额度 %，只计 3.6 Flash ≥95% 区段，95.60M raw = 周 +21.70pp；community-issues-round1-2026-09-29.json；workload-conversion-round1-2026-09-30.json,17.62→24.89亿（2026-09-30 裁定带分项实测统一折算，低缓存档）：#55 段 worth $25.824（cache 78.32M×$0.075＋入14.95M×$0.75＋出2.33M×$3.75）÷21.70pp＝$1.19005/pp → 周$119.0×4周 ÷ 低缓存档$0.19125/MTok；raw 口径 17.62 留作对照。以下为 2026-09-29 原采用决策（raw 口径）——新增17.62亿，2026-09-29 裁定：issue #55（agy CLI，方法同 #54，只计 3.6 Flash 占 95% 以上区段）95.60M raw = 周 +21.70 个百分点 ×100×4周，cache 命中 84.0%。每 1% 标价美元约 $1.19，与 3.8 Flash 相同，支持 Google AI Pro 各模型共用按价额度池。样本仅 21.7 个百分点、单一投稿人 → medium。不派生 Ultra。证据：community-issues-round1-2026-09-29.json。,False,,2026-09-13~2026-09-27,sample,,highest_archived_reference,1,aa_intelligence_index:c190b81e19d238cc,Gemini 3.6 Flash (high),33.9786,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:ec826f6447a6ed8b,Artificial Analysis - Gemini 3.6 Flash (high),7.0707,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4b88e3c88227052e,gemini-3.6-flash-high,1536,,False,,high,,1528.5,1543.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:ee3d29f57f6b6e33,Gemini 3.6 Flash (High),-7.67,,False,,high,,-8.75,-6.59,,0.3,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:e1743e5569cb8648,mini-swe-agent - gemini-3-6-flash (high),46.68141592920354,,False,mini-swe-agent,high,,42.97656202995626,50.386269828450814,4.419013277333334,3.444695325000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
google_ai_ultra_5x_us::gemini-3.8-flash,Google AI Ultra 5x,,subscription,gemini-3.8-flash,Gemini 3.8 Flash,,Google,,Gemini 3.8 Flash · Google AI Ultra 5x,lowCache,,99.99,129.05,0.0077481596,,,low,full,官方：Ultra $100 = 5× Pro token worth（antigravity.google/blog 2026-05-19）,新增129.05亿：Pro采用值×官方worth倍率5；LLMDevs Ultra~5.0B/周同量级旁证；非独立实测,False,,2026-09-12~2026-09-27,derived,Google AI Pro · gemini-3.8-flash,highest_archived_reference,3,aa_intelligence_index:a795ed51d673418d,Gemini 3.8 Flash (high),40.9262,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:206ddf92cd474c5f,mini-SWE-agent - Gemini 3.8 Flash (high),19.09,,False,mini-SWE-agent,high,,15.73,22.45,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,aa_terminal_bench_4:a1eae5d167a32a34,Artificial Analysis - Gemini 3.8 Flash (medium),19.697,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:cee78179b654f666,gemini-3.8-flash-high,1583,,False,,high,,1575.1,1590.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:60a00778bc1492a5,Gemini 3.8 Flash (High),2.96,,False,,high,,2.14,3.78,,0.58,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:68de21286728c605,Antigravity SDK - Gemini 3.8 Flash (high),41.8632,,False,Antigravity SDK v0.1.12,high,,,,2.4674,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:e5b1ca76e59dabd0,Gemini 3.8 Flash,68.9,,False,OpenDesign,,,,,0.210201,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,deepswe_1_1:a4e0e06e8292b616,mini-swe-agent - gemini-3-8-flash (high),73.8255033557047,,False,mini-swe-agent,high,,72.40819014906883,75.24281656234058,2.362349413758389,2.1098912999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
google_ai_ultra_20x_us::gemini-3.8-flash,Google AI Ultra 20x,,subscription,gemini-3.8-flash,Gemini 3.8 Flash,,Google,,Gemini 3.8 Flash · Google AI Ultra 20x,lowCache,,199.99,516.2,0.0038742735,,,low,full,官方：Ultra $200 = 20× Pro token worth（antigravity.google/blog 2026-05-19）,新增516.2亿：Pro采用值×官方worth倍率20；非独立实测,False,,2026-09-12~2026-09-27,derived,Google AI Pro · gemini-3.8-flash,highest_archived_reference,3,aa_intelligence_index:a795ed51d673418d,Gemini 3.8 Flash (high),40.9262,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:206ddf92cd474c5f,mini-SWE-agent - Gemini 3.8 Flash (high),19.09,,False,mini-SWE-agent,high,,15.73,22.45,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,aa_terminal_bench_4:a1eae5d167a32a34,Artificial Analysis - Gemini 3.8 Flash (medium),19.697,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:cee78179b654f666,gemini-3.8-flash-high,1583,,False,,high,,1575.1,1590.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:60a00778bc1492a5,Gemini 3.8 Flash (High),2.96,,False,,high,,2.14,3.78,,0.58,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:68de21286728c605,Antigravity SDK - Gemini 3.8 Flash (high),41.8632,,False,Antigravity SDK v0.1.12,high,,,,2.4674,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:e5b1ca76e59dabd0,Gemini 3.8 Flash,68.9,,False,OpenDesign,,,,,0.210201,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,deepswe_1_1:a4e0e06e8292b616,mini-swe-agent - gemini-3-8-flash (high),73.8255033557047,,False,mini-swe-agent,high,,72.40819014906883,75.24281656234058,2.362349413758389,2.1098912999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_pro::claude-opus-5,Claude Pro,,subscription,claude-opus-5,Claude Opus 5,,Anthropic,,Claude Opus 5 · Claude Pro,anthropic,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",20.0,25.89,0.0077249903,0.735,0.0105,high,main,"issue #53（NTRYourWaifu）：两个 Pro 账号 9/14~9/22 轮询 /api/oauth/usage seven_day %、按 message.id 去重，Opus 5 共 1,022.02M raw = 周 +148pp；community-issues-round1-2026-09-29.json；旧源 X @shownotover Pro /usage 面板 32.87M = 周池7%（claude-adoption-round8-2026-09-20.json）不再入权；workload-conversion-round1-2026-09-30.json","27.62→25.89亿（2026-09-30 裁定带分项实测统一折算，Anthropic 档）：段 worth $733.93（读1,004.96M×$0.5＋1h写12.99M×$10＋入0.01M×$5＋出4.06M×$25）＝每1% $4.96 → 周$495.9×4周 ÷ Anthropic 档混合价$0.76625/MTok；raw 口径 27.62 留作对照。以下为 issue #53 采用决策——18.78→27.62亿，2026-09-30 裁定改用 issue #53：两个 Pro 账号、全部在 9/14 永久 +25% 之后，1,022.02M raw（读1,004.96M/1h写12.99M/入0.01M/出4.06M）＝周 +148 个百分点 → 6.906M/pp ×100 ×4周；两个整周分别 24.60/28.96 亿；按标价每 1% worth $4.96。旧面板样本每 1% $3.67（7% 整数读数，区间 17.53~20.23 亿），高出 35%/47% 与 +25% 调整幅度相近，疑为 9/14 前测得，故不与之合并（合并为 27.22 亿不采）；Anthropic 档 worth 口径 25.89 亿（2026-09-30 起改判为采用，见首行）。张力：与 Max 20x 采用值 157 的比从 8.35× 变为 5.68×，与 Opus 5.5 的 301.7/30.54≈9.9× 不一致，指向 Max 20x 侧口径或 5.5/5 池权重（#52/#53 推约 0.843），待裁定。以下为旧 18.78 决策原文——Opus4.8历史15.88亿→Opus5面板反推18.78亿：32,868,513 total（opus5 32.85M + haiku 23k）÷7%×4周；周池4.70亿、5h池56.7M，周池为绑定约束；周%取整区间约17.5~20.2亿；单会话n=1初定medium；round5候选Opus5约1.9亿（假定周消息数）被面板直测推翻作废；标价闭合校验$25.68吻合；2026-09-21裁定Opus4.8旧测不入权——round8曾按基准期读法×1.25=19.85亿作互证，但round6记录该值含+50%活动期boost，忠实映射为÷1.5×1.25=13.23亿且与面板矛盾，故仅面板单源；round9同作者第二条40M=周13%记为张力：新周读法12.3亿/续周读法26.7亿/下限读法不约束，基线不可考不入权；2026-09-21裁定升high：面板级形式+价格闭合校验+下调后口径+与Max20x周池比8.35×自洽；#3新周读法12.3亿与Max池比将失衡（$20得$100档的相对池份额异常），反证18.78侧。注：曾引'8.28窗/周与Max同构'为旁证，round9检查点反推Max档5h池~7.1亿（非4.74亿满窗读法）后该互证撤回——Max周满窗数~5.5非8.3",False,,2026-09-14~2026-09-22,sample,,highest_archived_reference,5,aa_intelligence_index:68425237e9876779,Claude Opus 5 (max),50.7771,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:7d59ed14e6a26f29,Claude Code - Opus 5 (xhigh),53.94,,False,Claude Code,xhigh,,50.769999999999996,57.11,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:0ed48e92962897a4,Artificial Analysis - Claude Opus 5 (max),48.9899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:3aa3e36faa602970,claude-opus-5-max,1694,,False,,max,,1687.5,1700.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:63ab115851e0de58,Claude Opus 5 (High),8.76,,False,,high,,7.26,10.26,,2.5,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:e0b71dfaa4f1714e,Claude Code - Opus 5 (max),59.7264,,False,Claude Code,max,,,,10.7892,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:f029cafdaf0a4ee3,mini-swe-agent - claude-opus-5 (max),73.64864864864865,,False,mini-swe-agent,max,,69.77633822227692,77.52095907502039,11.837583271396396,10.4281505,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_20x::claude-opus-5,Claude Max 20x (9/14+),,subscription,claude-opus-5,Claude Opus 5,,Anthropic,,Claude Opus 5 · Claude Max 20x (9/14+),measured,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",200.0,157.0,0.012738854,0.735,0.0173,medium,main,Zenn skipbit实测+维护者永久口径；claude-adoption-round6-2026-09-06.json,旧80亿→157亿，9/14起永久口径：47.2亿/周×4周÷1.5×1.25后取整；参考区间110~200亿。混合模型及非完全同窗样本，非纯Opus5实测硬上限；不取活动期189或裸基准126；round9 alldonesites纯Opus5满窗中位4.74亿（簇4.15~4.74亿三源）为窗容量读数——5h池口径存分歧：chudi检查点反推~7.1亿、官方20×Pro暗示11.34亿，Max周满窗数~5.5而非早记8.3，窗结构不作采用依据；round9时间线校正后Reddit审计转正：「本周」单号21亿cache读=周52%系9/17重置后下调后读数→周池≈40亿→161亿/月与采用值差3%，为纯Opus负载最优周池corroboration；「上周」237亿raw=230%系活动期大池口径不再矛盾；低端张力仅余其5窗假设95亿；未折算：Zenn 混合模型样本无 token 分项，保留 raw,False,,2026-08,sample,,highest_archived_reference,5,aa_intelligence_index:68425237e9876779,Claude Opus 5 (max),50.7771,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:7d59ed14e6a26f29,Claude Code - Opus 5 (xhigh),53.94,,False,Claude Code,xhigh,,50.769999999999996,57.11,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:0ed48e92962897a4,Artificial Analysis - Claude Opus 5 (max),48.9899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:3aa3e36faa602970,claude-opus-5-max,1694,,False,,max,,1687.5,1700.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:63ab115851e0de58,Claude Opus 5 (High),8.76,,False,,high,,7.26,10.26,,2.5,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:e0b71dfaa4f1714e,Claude Code - Opus 5 (max),59.7264,,False,Claude Code,max,,,,10.7892,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:f029cafdaf0a4ee3,mini-swe-agent - claude-opus-5 (max),73.64864864864865,,False,mini-swe-agent,max,,69.77633822227692,77.52095907502039,11.837583271396396,10.4281505,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_5x::claude-opus-5,Claude Max 5x (9/14+),,subscription,claude-opus-5,Claude Opus 5,,Anthropic,,Claude Opus 5 · Claude Max 5x (9/14+),measured,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",100.0,78.5,0.012738854,0.735,0.0173,medium,full,已确认20x周池仅为5x的2倍；claude-adoption-round6-2026-09-06.json,旧35.6亿→78.5亿，9/14起永久口径157÷2；low→medium按裁定周池关系推算，非独立实测；不采用36亿消息数候选或70亿/旧2.25倍率；5h窗口4倍关系不套周池,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,5,aa_intelligence_index:68425237e9876779,Claude Opus 5 (max),50.7771,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:7d59ed14e6a26f29,Claude Code - Opus 5 (xhigh),53.94,,False,Claude Code,xhigh,,50.769999999999996,57.11,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:0ed48e92962897a4,Artificial Analysis - Claude Opus 5 (max),48.9899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:3aa3e36faa602970,claude-opus-5-max,1694,,False,,max,,1687.5,1700.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:63ab115851e0de58,Claude Opus 5 (High),8.76,,False,,high,,7.26,10.26,,2.5,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:e0b71dfaa4f1714e,Claude Code - Opus 5 (max),59.7264,,False,Claude Code,max,,,,10.7892,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:f029cafdaf0a4ee3,mini-swe-agent - claude-opus-5 (max),73.64864864864865,,False,mini-swe-agent,max,,69.77633822227692,77.52095907502039,11.837583271396396,10.4281505,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_20x::claude-fable-5.1,Claude Max 20x (9/14+),,subscription,claude-fable-5.1,Claude Fable 5.1,,Anthropic,,Claude Fable 5.1 · Claude Max 20x (9/14+),measured,,200.0,17.28,0.11574074,,,medium,main,维护者提供样本：Max账号同日 /usage 周额度0%→19% 对应 2443 轮 285.6M raw tokens（cache读283M+输出2.6M）；claude-fable51-round3-2026-09-20.json；round9 时间线校正,30.06→17.28亿：样本实测于9/4~5促销期，19%分母是活动期池47.2亿/周非永久池39.25亿——旧算法把混合当量池错挂永久口径且未拆Opus份额；重分解：消耗0.19×47.2=8.97亿当量，Opus份额1.13亿raw权重1，Fable份额1.725亿raw→隐含权重≈4.54×Opus（落进Fable5实测4.25~6.5区间自洽）；月额度=157×50%÷4.54；美元计权法独立验证得17.0亿；次日3017轮→24%互验（同期口径一致）；单账号n=1定medium；未折算：样本只有 cache 读＋输出，缺写入/输入分项，且经活动期池分解,False,,2026-09-04~2026-09-05,sample,,highest_archived_reference,5,aa_intelligence_index:71823637d973a0fc,Claude Fable 5.1 (max with fallback),53.3549,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:136537b36ce98c25,Claude Code - Fable 5.1 (max),57.88,,False,Claude Code,max,,54.120000000000005,61.64,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:41e12ce515ec9121,Artificial Analysis - Claude Fable 5.1 (xhigh with fallback),55.0505,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8e70472a84bf71d1,claude-fable-5.1-max,1751,,False,,max,,1741.3,1760.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:d1cdd70383ae2039,Claude Fable 5.1 (Max),14.55,,False,,max,,12.63,16.47,,4.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:f882189259104e87,Claude Code - Fable 5.1 (max) (with fallback),62.2225,,False,Claude Code,max,,,,12.3881,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:0ed675e0b61ae3ac,Claude Fable 5.1,80.3,,False,OpenDesign,,,,,3.660199,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
claude_max_20x::claude-opus-5.5,Claude Max 20x (9/14+),,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Claude Max 20x (9/14+),anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,315.38,0.0063415562,0.394,0.0161,medium,main,X @MiaAI_lab 推文（维护者提供截图）：xHigh 1h2m 烧 10.305亿 raw = ~75% of 5h limit；claude-opus55-round1-2026-09-23.json；round10 条目#15 Max 20x ≈5.5 满窗/周（claude-adoption-round10-2026-09-25.json）；Claude Pro × Opus 5.5 采用样本（issue #52 + Reddit 段）×10；claude-opus55-max20x-round2-2026-09-30.json,301.7→315.38亿（2026-09-30 裁定，Anthropic 档）：两路各折成 Max 20x 周额度百分点后按百分点合并——① MiaAI 窗 worth $471.10（写按 5m，与推文 $482.63 闭合）= 75% 窗 ÷ 5.5 窗/周 = 周 13.636pp，单独 329.81亿；② Pro × Opus 5.5 合并 worth $628.00 / 196.333 Pro pp ÷ Max 20x 周额度 = Pro×10 → 周 19.633pp，单独 305.36亿；两路差 8%。不采：Pro 5h/周 13.333%（7.5 窗）直接套 Max 20x 得 449.7 亿（Max 20x 窗 20×、周 10×，窗/周比与 Pro 不同）；官方倍率推 3.75 窗/周得 224.9 亿（MiaAI 窗仅为 Pro 窗 15.5× 而非 20×，与两倍率同时精确不自洽）；等权平均 317.58 亿；#65 混合样本暂不处理。以下为旧 301.7 决策原文——新增301.7亿：5h池 10.305亿÷~75%=13.74亿 raw（9/22发布已上调 Pro/Max/Team 5h 上限，窗池系发布期口径）；隐含权重 7.15/13.74=0.5204×Opus5 → 月池157÷0.5204；标价混合比0.5143独立互证（备选305.28亿差1.2%）；样本按新价$471.1≈推文$482.63闭合(+2.4%)；n=1推文无面板、~75%取整读数（月额区间约283~322亿）、effort仅影响速率；若官方权重偏离价格比（Fable 6.5×前车之鉴）需重推；周池面板直测/reset后受控打满可升high,False,,2026-09-22~2026-09-27,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
claude_max_5x::claude-opus-5.5,Claude Max 5x (9/14+),,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Claude Max 5x (9/14+),anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",100.0,183.34,0.0054543471,0.394,0.0138,medium,full,社区截图（维护者提供，2026-10-03）：Claude Code /usage 单会话 claude-opus-5-5 in 23.0k/out 3.0m/cache读 1.3b/cache写 5.6m（CC 标 $366.96）＝周额度（all models）19%，Fable 周 0%；claude-max5x-opus55-round1-2026-10-03.json,157.69→183.34亿（2026-10-03 直测替换借 20x÷2 派生，low→medium，Anthropic 档）：段 worth $364.89（读1.3B×$0.2＋1h写5.6M×$8＋入0.023M×$4＋出3.0M×$20，按实际写档计）÷19%×4周＝月$7681.94 ÷ Anthropic 档混合价$0.419/MTok；社区截图来源未确认，19% 是否全归本会话未知——若周内另有用量则 Opus 实占 pp 更少、周池更大，本值偏保守；19% 为整数读数，18.5~19.5% 对应 178.64~188.29亿；1.3b 仅两位有效数字（±0.05b 约 ±3.7%）；截图为 1h TTL、CC 标 $366.96 即按 1h 写闭合；cache 写按 5m $5 折 174.9亿留作对照；原始 total 口径 275.5亿留作对照；haiku-4-5（$0.06）不计；张力：按 20x 周池＝5x×2 推 20x 约 366.68亿，比 20x 采用值 315.38亿 高 16%，20x 暂不改，5x/20x 不再同价并点,False,,2026-09-29~2026-10-03,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
claude_pro::claude-opus-5.5,Claude Pro,,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Claude Pro,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",20.0,30.54,0.0065487885,0.394,0.0166,high,main,"issue #52（NTRYourWaifu）：两个 Pro 账号轮询 /api/oauth/usage seven_day %、按 message.id 去重，Opus 5.5 ≥95% 区段 1,396.81M raw = 周 +183pp；community-issues-round1-2026-09-29.json；另与 Reddit r/ClaudeCode 帖满窗段（grok_report 条目#1：151,193,723 raw = 周 13.333%）按百分点合并；claude-adoption-round10-2026-09-25.json","28.99→30.54亿，2026-09-29 裁定：issue #52（两个 Pro 账号，每 5 分钟轮询 seven_day %，按 message.id 去重，只计 Opus 5.5 占 95% 以上区段）1,396.81M raw = 周 +183 个百分点，标价 worth $587.52（读 $0.2 / 1h 写 $8 / 5m 写 $5 / 入 $4 / 出 $20）；与原 Reddit 5h 段（worth $40.48 / 周 13.333%）按百分点合并：($40.48+$587.52)÷(13.333+183)＝$3.19865/pp → 月 $1,279.46 ÷ Anthropic 档 $0.419/MTok＝30.54亿。单看 #52 为 30.65、Reddit 段 28.98；raw total 口径 30.53，写全按 5m 价 27.39 不采。high/xhigh 每 1% 标价美元均约 $3.2，effort 只影响速率。互证（仅记录不入权，2026-09-30 裁定关闭 PR #77）：X @kanzakichiya ccusage 两周 478.15M raw＝周 22%+47%（口述），缓存写全为 1h，按实际写价 worth $208.25 → $3.018/pp → 28.81 亿，与 #52 $3.210/pp、Reddit 段 $3.036/pp 差 <7%；三源按百分点合并为 30.09 亿、写按 5m 为 24.52 亿，均不采（claude-adoption-round11-2026-09-30.json）。证据：community-issues-round1-2026-09-29.json。",False,,2026-09-22~2026-09-27,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
claude_team::claude-opus-5.5,Claude Team Premium,,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Claude Team Premium,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",125.0,126.05,0.0099166997,0.394,0.0252,low,main,"X @leo114119 推文（维护者提供截图）：Claude Team「6.25x」席第三方 relay 使用统计，7d 窗 Opus 5.5 共 4,091,470,718 raw（12,836 次请求；命中读 40.29亿/创建写 4923.9万/新增输入 2.6万/输出 1341.6万，hit 98.8%），帖主称整周用满；面板总成本 $1,320.3794；https://claude.com/pricing（Premium 席 $125/月付、$100/月年付）；claude-team-opus55-round1-2026-10-06.json","新增126.05亿（2026-10-06，Anthropic 档；2026-10-08 裁定 medium→low）：面板分项按 Opus 5.5 标价逐项闭合（写按 5m $5：读×$0.2＋写×$5＋入×$4＋出×$20＝$1320.38≈面板 $1,320.3794）→ 采面板 worth 为周 list-worth，×4周＝月$5,281.52 ÷ Anthropic 档混合价$0.419/MTok；raw 口径 163.66亿（周 40.91亿 raw）留作对照；写全按 1h $8 敏感性 140.15亿 不采（面板按 5m 闭合）。档位：claude.com/pricing（2026-10-08 核对）Premium 席 $125/月付、$100/月年付，官方写 5× Standard 席用量，Standard 席仅写「多于 Pro」、无具体倍数（倍数按 5 小时会话计）；「6.25× Pro」为社区按 Standard≈1.25× Pro 推的说法，非官方口径；挂月付价 $125。自洽（按周 list-worth，采用值×$0.419÷4）：本周 $1,320.38 = Pro × Opus 5.5 周 $319.91 的 4.13×、Max 5x 直测周 $1,920.49 的 69%；若 Premium 真为 6.25× Pro 月额应约 190.88亿，本值仅其 66%；初稿「帖主称≈Max 5x、差 4~8%」系 Team raw 比 Max 5x 折算值，单位不同，作废。弱点 → low：n=1 推文、「用满」为帖主口述且面板无额度百分比；第三方 relay 面板非官方 /usage、车头共享席位，7d 滚动窗未对齐官方周重置；官方席位池与 Pro/Max 是否同权重未证；与 6.25× Pro 说法差 34%。Team Standard 席（$20年付/$25月付）无额度样本不画",False,,2026-09-30~2026-10-06,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
supergrok::grok-4.6,SuperGrok,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · SuperGrok,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",30.0,5.16,0.058139535,0.565,0.1029,high,main,"V2EX受控打满127,272,629 token=整周100%，与 issue #56（Grok Build _x.ai/billing 轮询）两平常周223.1M=+193pp 按百分点合并→周池128,937,168；community-issues-round1-2026-09-29.json；workload-conversion-round1-2026-09-30.json","4.78→5.16亿（2026-09-30 裁定带分项实测统一折算）：V2EX 段无分项按已是标准档计 worth（127,272,629×$0.565＝$71.909）＋#56 段 worth $141.54（cache 206.4M×$0.5＋入15.3M×$2＋出1.29M×$6）÷293pp＝$0.7284/pp → 周$72.85×4周 ÷ 标准档混合价$0.565/MTok＝周池 128,937,168；raw 口径 4.78 留作对照；疑似双倍活动周（236M、274M）与低命中周未计入。以下为 2026-09-29 原采用决策（raw 口径）——5.09→4.78亿，2026-09-29 裁定：issue #56（Grok Build _x.ai/billing 每 5 分钟周额度 %，对照 unified.jsonl）两个完整平常周 223.1M raw = +193 个百分点（+94%/120.9M、+99%/102.2M，单看 4.62），与 V2EX 受控打满 127,272,629 token（整周 100%）按百分点合并：(127.272629+223.1)÷(100+193)＝1.1958M/pp ×100×4周＝4.78亿。证据：community-issues-round1-2026-09-29.json。",False,,2026-08-23~2026-09-20,sample,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
supergrok_plus::grok-4.6,SuperGrok Plus,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · SuperGrok Plus,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",100.0,20.6,0.048543689,0.565,0.0859,medium,full,面板周额度$100×Super精确标定×4周,"采用20.6亿：128,937,168×4周×100/25，按一位小数取值；linux.do用户口述每用一刀涨1%与周$100吻合",False,,2026-08-23~2026-09-20,derived,SuperGrok · grok-4.6,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
supergrok_heavy::grok-4.6,SuperGrok Heavy,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · SuperGrok Heavy,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",300.0,51.6,0.058139535,0.565,0.1029,medium,main,面板周额度$250×Super精确标定×4周,"采用51.6亿：128,937,168×4周×250/25，按一位小数取值；标价换算18亿作废（面板美元≠标价美元）；Zhang 208亿未采",False,,2026-08-23~2026-09-20,derived,SuperGrok · grok-4.6,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
supergrok_lite::grok-4.6,SuperGrok Lite,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · SuperGrok Lite,measured,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,1.5,0.066666667,0.565,0.118,low,full,aa_grok_build_2026_07,面板周额度未知，三轮联网均无；未折算：AA 占位值，无实测样本,False,,2026-07,sample,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
supergrok::grok-4.7,SuperGrok,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · SuperGrok,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",30.0,5.72,0.052447552,0.565,0.0928,medium,main,"维护者本机实测 round2：Grok Build xhigh「这次」窗 56,629,383 tok = 周额度 +45.5475%；supergrok-grok47-round2-2026-09-22.json；workload-conversion-round1-2026-09-30.json","4.97→5.72亿（2026-09-30 裁定带分项实测统一折算）：「这次」窗 worth $36.7812（cache 51.73M×$0.5＋入4.62M×$2＋出0.28M×$6）÷45.5475%＝周$80.75 ÷ 标准档混合价$0.565/MTok＝周池 142,926,384；raw 口径 4.97 留作对照。以下为原采用决策——6.72→5.72亿：周池 168,035,200→142,926,384——round2 大窗实测取代 round1 份额推断；三窗反推 176.1M/124.3M/132.1M，裁定「这次」（45.5% 最大消耗窗）最可信；「之前」窗已对上 round1 三会话，删除版实得 628,541 tok/0.36%；对 4.6 折算周池 1.289亿为 1.11× 同量级；两窗反推不重合，池口径或面值有未解变量，n=1 账号维持 medium",False,,2026-09-22,sample,,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
supergrok_plus::grok-4.7,SuperGrok Plus,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · SuperGrok Plus,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",100.0,22.9,0.043668122,0.565,0.0773,medium,full,面板周额度$100×Super 4.7实测标定×4周,"26.9→22.9亿：142,926,384×4周×100/25，非独立实测",False,,2026-09-22,derived,SuperGrok · grok-4.7,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
supergrok_heavy::grok-4.7,SuperGrok Heavy,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · SuperGrok Heavy,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",300.0,57.2,0.052447552,0.565,0.0928,medium,main,面板周额度$250×Super 4.7实测标定×4周,"67.2→57.2亿：142,926,384×4周×250/25，非独立实测；Lite 面板美元未知不派生",False,,2026-09-22,derived,SuperGrok · grok-4.7,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
cursor_ultra::grok-4.6,Cursor Ultra,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Cursor Ultra,measured,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",200.0,77.37,0.025849813,0.565,0.0458,medium,main,两张调整后个人Ultra标准主行中间值；cursor-adoption-round8-2026-09-06.json,旧80亿→77.37亿：(维护者当前平滑账号61.0M/0.9%=67.78亿 + 社区8/26图1478.2M/17%=86.95亿)/2。社区图可能有大量首周半价用量，按费用百分比反推略高；中间值不是单行直接实测，token类型分布与面板取整差异保留；未折算：面板只给 token 合计与费用 %,False,,2026-08-26~2026-09-05,sample,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_ultra_fast::grok-4.6,Cursor Ultra (Fast),,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Cursor Ultra (Fast),measured,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",200.0,30.74,0.065061809,0.565,0.1152,high,main,维护者当前平滑账号截图863.8M/28.1%直接反推；cursor-adoption-round8-2026-09-06.json,旧40亿→30.74亿；取最大样本xhigh-fast行直接反推，百分比取整区间30.69~30.80亿；同图较小high-fast行24.43亿不采。Standard/Fast不强制raw token严格2×，因为面板按费用扣减且token类型构成不同；官方三段费率2×事实不变；与SuperGrok渠道分开；未折算：面板只给 token 合计与费用 %,False,,2026-09-05,sample,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_pro::grok-4.6,Cursor Pro,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Cursor Pro,measured,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",20.0,4.7,0.042553191,0.565,0.0753,medium,main,Cursor 论坛面板：303.9M = 65% → 4.68 亿；另有维护者口述 4~5 亿打满,保留独立面板采用4.7亿，不随Ultra中间值联动；池按compute cost计非raw token；未折算：面板只给 token 合计与费用 %,False,,2026-08-27,sample,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_pro_plus::grok-4.6,Cursor Pro+,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Cursor Pro+,measured,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",60.0,20.632,0.029081039,0.565,0.0515,medium,full,round3面板Pro+池约$800；按Ultra池$3000等比；cursor-adoption-round8-2026-09-06.json,旧21.33亿→20.63亿：77.37×800/3000；继承跨档池规模假设，非独立实测；未采社区图反推$4500~4800作为官方池；促销与账号差异保留,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_ultra::claude-opus-5.5,Cursor Ultra (Other Models),,subscription,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 · Cursor Ultra (Other Models),anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,8.96,0.22321429,0.394,0.5665,medium,main,X @xuanwo 推文（2026-10-05，维护者转交截图）：Cursor Ultra 账期内 Other Models 用量全程 claude-opus-5-5-high；usage-events CSV 导出 9月14日–10月5日共 176 条 Opus 记录（集中北京时间10月2日22:35–5日14:14）；cursor-opus55-community-round1-2026-10-05.json,新增8.96亿（Other Models 池首个实测）：段 worth $375.46（读748.78M×$0.2＋写24.36M×$5(5m)＋入9.4K×$4＋出5.19M×$20，hit 96.85%）＝账期 Other Models 全部用量 ÷ Anthropic档混合价$0.419/MTok；raw 口径 7.78亿留作对照；cache写按1h $8 敏感性 worth $448.54（10.71亿）不采；worth 与社区口径 Ultra Other Models 池$400同量级（93.9%；CellCog曾示$500），视为月池基本用尽——CSV 无账期边界/%字段故按整份导出统计，若未用尽本值偏保守；与 Cursor Models 池（grok-4.6 77.37亿）为两个独立月池不联动；单一社区源、面板%未截图 → medium；effort 均 high 仅影响速率,False,,2026-09-14~2026-10-05,sample,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
kimi_allegretto_cn::kimi-k3,Kimi 会员 199,Kimi Allegretto,subscription,kimi-k3,Kimi K3 (v1),v1,Kimi,¥199,Kimi K3 (v1) · Kimi 会员 199,measured,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",39.0,14.51,0.026878015,0.441,0.0609,medium,main,本机ccusage 243739068/84%反推周额度×Kimi月池5倍；kimi-adoption-round6-2026-09-08.json,旧11.61亿→14.51亿：确认Kimi月池=周池×5，旧值误套项目通用4周；样本以k3-256k为主且含kimi-for-coding，非纯K3 1M实测；SWE1.7短时面板的模型/统计窗口不同，未替换基准；ACP14.28为旧模型旁证，不直接采用；未折算：ccusage 只存周合计，无分项；同名档国内外并为一点：月费与单价统一按国际版 Kimi Allegretto $39 标价（旧按国内 ¥199÷6.7787≈$29.36），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-07-25~2026-07-26,sample,,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_moderato_cn::kimi-k3,Kimi 会员 99,Kimi Moderato,subscription,kimi-k3,Kimi K3 (v1),v1,Kimi,¥99,Kimi K3 (v1) · Kimi 会员 99,measured,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",19.0,2.9,0.065517241,0.441,0.1486,medium,full,199档×官方4/20；kimi-adoption-round6-2026-09-08.json,旧2.32亿→2.90亿：随199档改用周池×5；继承K3-256K为主的混合负载估算，不是K3 1M纯模型实测；同名档国内外并为一点：月费与单价统一按国际版 Kimi Moderato $19 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-07-25~2026-07-26,derived,Kimi 会员 199 · kimi-k3,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_allegro_cn::kimi-k3,Kimi 会员 699,Kimi Allegro,subscription,kimi-k3,Kimi K3 (v1),v1,Kimi,¥699,Kimi K3 (v1) · Kimi 会员 699,measured,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",99.0,43.53,0.022742936,0.441,0.0516,medium,full,199档×官方60/20；kimi-adoption-round6-2026-09-08.json,旧34.83亿→43.53亿：随199档改用周池×5；继承K3-256K为主的混合负载估算，不是K3 1M纯模型实测；同名档国内外并为一点：月费与单价统一按国际版 Kimi Allegro $99 标价（旧按国内 ¥699÷6.7787≈$103.12），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-07-25~2026-07-26,derived,Kimi 会员 199 · kimi-k3,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_allegretto_cn::kimi-k2.7-code,Kimi 会员 199,Kimi Allegretto,subscription,kimi-k2.7-code,Kimi K2.7 Code (v1),v1,Kimi,¥199,Kimi K2.7 Code (v1) · Kimi 会员 199,measured,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",39.0,15.68,0.024872449,0.228,0.1091,medium,main,V2EX纯K2.7面板 11913113/0.76%=15.68亿；kimi-k27-round7-2026-09-08.json；kimi-k27-adoption-round8-2026-09-08.json,新增K2.7 Standard独立点：采用直接月%反推15.68亿，不与较弱的699档混合样本取中点；可信范围约15.6~16.7亿。单一纯模型账号证据high，但跨账号/时期采用降为medium；未折算：只有 cache 读＋合计，缺 input/output 分项；同名档国内外并为一点：月费与单价统一按国际版 Kimi Allegretto $39 标价（旧按国内 ¥199÷6.7787≈$29.36），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-08-20,sample,,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_moderato_cn::kimi-k2.7-code,Kimi 会员 99,Kimi Moderato,subscription,kimi-k2.7-code,Kimi K2.7 Code (v1),v1,Kimi,¥99,Kimi K2.7 Code (v1) · Kimi 会员 99,measured,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",19.0,3.14,0.060509554,0.228,0.2653,medium,full,199档×官方4/20；kimi-k27-adoption-round8-2026-09-08.json,新增3.14亿：继承199档15.68亿与官方Code credits倍率；非独立实测；同名档国内外并为一点：月费与单价统一按国际版 Kimi Moderato $19 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-08-20,derived,Kimi 会员 199 · kimi-k2.7-code,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_andante_cn::kimi-k2.7-code,Kimi 会员 49,,subscription,kimi-k2.7-code,Kimi K2.7 Code (v1),v1,Kimi,,Kimi K2.7 Code (v1) · Kimi 会员 49,measured,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",7.23,0.78,0.092673393,0.228,0.4064,medium,full,199档×官方1/20；K2.7 Standard所有会员可用；kimi-k27-adoption-round8-2026-09-08.json,新增0.78亿：继承199档15.68亿与官方Code credits倍率；非独立实测。该档仅排除K3，不排除K2.7 Standard；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-08-20,derived,Kimi 会员 199 · kimi-k2.7-code,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
kimi_allegro_cn::kimi-k2.7-code,Kimi 会员 699,Kimi Allegro,subscription,kimi-k2.7-code,Kimi K2.7 Code (v1),v1,Kimi,¥699,Kimi K2.7 Code (v1) · Kimi 会员 699,measured,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",99.0,47.04,0.021045918,0.228,0.0923,medium,full,199档×官方60/20；kimi-k27-adoption-round8-2026-09-08.json,新增47.04亿：继承199档15.68亿与官方Code credits倍率；独立699档K2.7占主导混合大样本缩回199档约16.74亿，仅作范围旁证；同名档国内外并为一点：月费与单价统一按国际版 Kimi Allegro $99 标价（旧按国内 ¥699÷6.7787≈$103.12），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-08-20,derived,Kimi 会员 199 · kimi-k2.7-code,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_peak::glm-5.3,GLM Coding Lite (新客 ¥118) 忙时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Lite (新客 ¥118) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",17.41,2.06,0.084502269,0.3092,0.2733,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，忙时系数1×，周0.515亿×4周=2.06亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_mid::glm-5.3,GLM Coding Lite (新客 ¥118) 中间值,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Lite (新客 ¥118) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",17.41,3.09,0.056334846,0.3092,0.1822,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，中间值系数1.5×，周0.773亿×4周=3.09亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_offpeak::glm-5.3,GLM Coding Lite (新客 ¥118) 闲时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Lite (新客 ¥118) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",17.41,4.12,0.042251135,0.3092,0.1366,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，闲时系数2×，周1.030亿×4周=4.12亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_peak::glm-5.3-flash,GLM Coding Lite (新客 ¥118) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Lite (新客 ¥118) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",17.41,6.24,0.027896583,0.0353,0.7892,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，忙时系数1×，周1.561亿×4周=6.24亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_mid::glm-5.3-flash,GLM Coding Lite (新客 ¥118) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Lite (新客 ¥118) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",17.41,9.36,0.018597722,0.0353,0.5261,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，中间值系数1.5×，周2.341亿×4周=9.36亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_new_offpeak::glm-5.3-flash,GLM Coding Lite (新客 ¥118) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Lite (新客 ¥118) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",17.41,12.49,0.013937124,0.0353,0.3943,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，闲时系数2×，周3.122亿×4周=12.49亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_peak::glm-5.3,GLM Coding Lite (老客 ¥49) 忙时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Lite (老客 ¥49) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",7.23,2.06,0.035089925,0.3092,0.1135,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，忙时系数1×，周0.515亿×4周=2.06亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_mid::glm-5.3,GLM Coding Lite (老客 ¥49) 中间值,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Lite (老客 ¥49) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",7.23,3.09,0.023393284,0.3092,0.0757,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，中间值系数1.5×，周0.773亿×4周=3.09亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_offpeak::glm-5.3,GLM Coding Lite (老客 ¥49) 闲时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Lite (老客 ¥49) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",7.23,4.12,0.017544963,0.3092,0.0567,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，闲时系数2×，周1.030亿×4周=4.12亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_peak::glm-5.3-flash,GLM Coding Lite (老客 ¥49) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Lite (老客 ¥49) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",7.23,6.24,0.011584174,0.0353,0.3277,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，忙时系数1×，周1.561亿×4周=6.24亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_mid::glm-5.3-flash,GLM Coding Lite (老客 ¥49) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Lite (老客 ¥49) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",7.23,9.36,0.0077227827,0.0353,0.2185,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，中间值系数1.5×，周2.341亿×4周=9.36亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_lite_cn_old_offpeak::glm-5.3-flash,GLM Coding Lite (老客 ¥49) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Lite (老客 ¥49) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",7.23,12.49,0.0057874497,0.0353,0.1637,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分10000，闲时系数2×，周3.122亿×4周=12.49亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_peak::glm-5.3,GLM Coding Pro (新客 ¥538) 忙时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Pro (新客 ¥538) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",79.37,12.36,0.064212177,0.3092,0.2077,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，忙时系数1×，周3.090亿×4周=12.36亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_mid::glm-5.3,GLM Coding Pro (新客 ¥538) 中间值,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Pro (新客 ¥538) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",79.37,18.54,0.042808118,0.3092,0.1384,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，中间值系数1.5×，周4.636亿×4周=18.54亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_offpeak::glm-5.3,GLM Coding Pro (新客 ¥538) 闲时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Pro (新客 ¥538) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",79.37,24.72,0.032106088,0.3092,0.1038,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，闲时系数2×，周6.181亿×4周=24.72亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_peak::glm-5.3-flash,GLM Coding Pro (新客 ¥538) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Pro (新客 ¥538) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",79.37,37.46,0.021186933,0.0353,0.5993,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，忙时系数1×，周9.365亿×4周=37.46亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_mid::glm-5.3-flash,GLM Coding Pro (新客 ¥538) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Pro (新客 ¥538) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",79.37,56.19,0.014124622,0.0353,0.3996,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，中间值系数1.5×，周14.047亿×4周=56.19亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_new_offpeak::glm-5.3-flash,GLM Coding Pro (新客 ¥538) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Pro (新客 ¥538) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",79.37,74.92,0.010593466,0.0353,0.2997,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，闲时系数2×，周18.730亿×4周=74.92亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_peak::glm-5.3,GLM Coding Pro (老客 ¥149) 忙时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Pro (老客 ¥149) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",21.98,12.36,0.01778367,0.3092,0.0575,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，忙时系数1×，周3.090亿×4周=12.36亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_mid::glm-5.3,GLM Coding Pro (老客 ¥149) 中间值,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Pro (老客 ¥149) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",21.98,18.54,0.01185578,0.3092,0.0383,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，中间值系数1.5×，周4.636亿×4周=18.54亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_offpeak::glm-5.3,GLM Coding Pro (老客 ¥149) 闲时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Pro (老客 ¥149) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",21.98,24.72,0.0088918349,0.3092,0.0288,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，闲时系数2×，周6.181亿×4周=24.72亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_peak::glm-5.3-flash,GLM Coding Pro (老客 ¥149) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Pro (老客 ¥149) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",21.98,37.46,0.0058677565,0.0353,0.166,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，忙时系数1×，周9.365亿×4周=37.46亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_mid::glm-5.3-flash,GLM Coding Pro (老客 ¥149) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Pro (老客 ¥149) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",21.98,56.19,0.0039118376,0.0353,0.1107,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，中间值系数1.5×，周14.047亿×4周=56.19亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_pro_cn_old_offpeak::glm-5.3-flash,GLM Coding Pro (老客 ¥149) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Pro (老客 ¥149) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",21.98,74.92,0.0029338782,0.0353,0.083,high,main,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分60000，闲时系数2×，周18.730亿×4周=74.92亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_peak::glm-5.3,GLM Coding Max (新客 ¥1078) 忙时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Max (新客 ¥1078) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",159.03,28.84,0.055141311,0.3092,0.1783,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，忙时系数1×，周7.211亿×4周=28.84亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_mid::glm-5.3,GLM Coding Max (新客 ¥1078) 中间值,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Max (新客 ¥1078) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",159.03,43.27,0.036752379,0.3092,0.1189,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，中间值系数1.5×，周10.816亿×4周=43.27亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_offpeak::glm-5.3,GLM Coding Max (新客 ¥1078) 闲时,,subscription,glm-5.3,GLM 5.3 (v3),v3,Zhipu,,GLM 5.3 (v3) · GLM Coding Max (新客 ¥1078) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",159.03,57.69,0.027565877,0.3092,0.0892,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，闲时系数2×，周14.422亿×4周=57.69亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_peak::glm-5.3-flash,GLM Coding Max (新客 ¥1078) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Max (新客 ¥1078) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",159.03,87.4,0.018195371,0.0353,0.5147,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，忙时系数1×，周21.851亿×4周=87.4亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_mid::glm-5.3-flash,GLM Coding Max (新客 ¥1078) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Max (新客 ¥1078) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",159.03,131.11,0.012129322,0.0353,0.3431,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，中间值系数1.5×，周32.777亿×4周=131.11亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_new_offpeak::glm-5.3-flash,GLM Coding Max (新客 ¥1078) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v3),v3,Zhipu,,GLM 5.3 Flash (v3) · GLM Coding Max (新客 ¥1078) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",159.03,174.81,0.009097165,0.0353,0.2573,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，闲时系数2×，周43.702亿×4周=174.81亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_peak::glm-5.3,GLM Coding Max (老客 ¥469) 忙时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Max (老客 ¥469) 忙时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",69.19,28.84,0.023990051,0.3092,0.0776,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，忙时系数1×，周7.211亿×4周=28.84亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_mid::glm-5.3,GLM Coding Max (老客 ¥469) 中间值,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Max (老客 ¥469) 中间值,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",69.19,43.27,0.015989671,0.3092,0.0517,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，中间值系数1.5×，周10.816亿×4周=43.27亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_offpeak::glm-5.3,GLM Coding Max (老客 ¥469) 闲时,,subscription,glm-5.3,GLM 5.3 (v2),v2,Zhipu,,GLM 5.3 (v2) · GLM Coding Max (老客 ¥469) 闲时,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",69.19,57.69,0.011992946,0.3092,0.0388,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，闲时系数2×，周14.422亿×4周=57.69亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_peak::glm-5.3-flash,GLM Coding Max (老客 ¥469) 忙时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Max (老客 ¥469) 忙时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",69.19,87.4,0.0079161679,0.0353,0.2239,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，忙时系数1×，周21.851亿×4周=87.4亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_mid::glm-5.3-flash,GLM Coding Max (老客 ¥469) 中间值,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Max (老客 ¥469) 中间值,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",69.19,131.11,0.0052770427,0.0353,0.1493,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，中间值系数1.5×，周32.777亿×4周=131.11亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
glm_coding_max_cn_old_offpeak::glm-5.3-flash,GLM Coding Max (老客 ¥469) 闲时,,subscription,glm-5.3-flash,GLM 5.3 Flash (v2),v2,Zhipu,,GLM 5.3 Flash (v2) · GLM Coding Max (老客 ¥469) 闲时,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",69.19,174.81,0.0039578575,0.0353,0.112,high,full,docs.bigmodel.cn 官方周积分与三段积分系数；standard-token-mix-round1-2026-09-07.json,统一标准负载；周积分140000，闲时系数2×，周43.702亿×4周=174.81亿；不再取峰谷中位；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-03,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
minimax_token_plus_cn::minimax-m3,MiniMax Token Plan Plus,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Plus,measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",7.23,6.0,0.012047541,0.0717,0.168,high,main,minimaxi.com/blog/minimax-m3 官方,未折算：官方绝对 token 表，不套负载；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-06-01,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_max_cn::minimax-m3,MiniMax Token Plan Max,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Max,measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",17.55,18.0,0.0097527713,0.0717,0.136,high,full,minimaxi.com/blog/minimax-m3 官方,未折算：官方绝对 token 表，不套负载；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-06-01,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_ultra_cn::minimax-m3,MiniMax Token Plan Ultra,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Ultra,measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",69.19,71.0,0.0097446912,0.0717,0.1359,high,full,platform.minimaxi.com 迁移说明 2026-08-19,发布时 55 亿，迁移后 71 亿；未折算：官方绝对 token 表，不套负载；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-08-19,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_plus_global::minimax-m3,MiniMax Token Plan Plus (Global),,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Plus (Global),measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",22.0,17.0,0.012941176,0.0717,0.1805,high,main,minimax.io/blog/minimax-m3 官方,发布时 $20，现价 $22，额度未见调整；未折算：官方绝对 token 表，不套负载,False,,2026-06-01,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_max_global::minimax-m3,MiniMax Token Plan Max (Global),,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Max (Global),measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",55.0,51.0,0.010784314,0.0717,0.1504,high,full,minimax.io/blog/minimax-m3 官方,发布时 $50；未折算：官方绝对 token 表，不套负载,False,,2026-06-01,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_ultra_global::minimax-m3,MiniMax Token Plan Ultra (Global),,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · MiniMax Token Plan Ultra (Global),measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",132.0,98.0,0.013469388,0.0717,0.1879,high,full,minimax.io/blog/minimax-m3 官方,发布时 $120；未折算：官方绝对 token 表，不套负载,False,,2026-06-01,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
aliyun_coding_pro_cn::qwen3.7-plus,阿里云百炼 Coding Plan Pro,,subscription,qwen3.7-plus,Qwen3.7 Plus,,Alibaba,,Qwen3.7 Plus · 阿里云百炼 Coding Plan Pro,measured,"{'cached': 0.08, 'input': 0.4, 'output': 1.6, 'currency': 'USD'}",29.5,1.98,0.14901102,0.0956,1.5587,medium,main,《财经》2026-08 实测 ¥101/亿,档位未写明，按 ¥200 Pro 折算；旧值 30 亿作废；未折算：《财经》¥101/亿 无分项；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-07~2026-08,sample,,highest_archived_reference,1,aa_intelligence_index:2e94df38c6b223ca,Qwen3.7 Plus,25.1622,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d9d54fa83beecde,Artificial Analysis - Qwen3.7 Plus,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_agent_mode:9cf4eb892a450683,Qwen3.7 Plus,-7.28,,False,,,,-8.75,-5.8100000000000005,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
aliyun_coding_pro_global::qwen3.7-plus,Alibaba Cloud Coding Plan Pro,,subscription,qwen3.7-plus,Qwen3.7 Plus,,Alibaba,,Qwen3.7 Plus · Alibaba Cloud Coding Plan Pro,measured,"{'cached': 0.08, 'input': 0.4, 'output': 1.6, 'currency': 'USD'}",50.0,1.98,0.25252525,0.0956,2.6415,low,full,同 CN 档额度,未折算：CN 档同源（《财经》¥101/亿），无分项,False,,2026-07~2026-08,derived,阿里云百炼 Coding Plan Pro · qwen3.7-plus,highest_archived_reference,1,aa_intelligence_index:2e94df38c6b223ca,Qwen3.7 Plus,25.1622,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d9d54fa83beecde,Artificial Analysis - Qwen3.7 Plus,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_agent_mode:9cf4eb892a450683,Qwen3.7 Plus,-7.28,,False,,,,-8.75,-5.8100000000000005,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::grok-4.6,OpenCode Go,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · OpenCode Go,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,0.265,0.37735849,0.565,0.6679,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧0.279亿（请求估算）→0.265亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；≤200K 标价；>200K 价翻倍，保留在 research variants。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::grok-4.7,OpenCode Go,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · OpenCode Go,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,0.265,0.37735849,0.565,0.6679,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.265亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；≤200K 标价；>200K 价翻倍，保留在 research variants；mimo-v26-grok47-catalogs-round1-2026-09-22.json。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
opencode_go::gpt-5.6-luna,OpenCode Go,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · OpenCode Go,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",10.0,4.934,0.020267531,0.0304,0.6667,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧5.25亿（请求估算）→4.934亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；≤272K 标价；>272K 档保留在 research variants。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::gpt-6-luna,OpenCode Go,,subscription,gpt-6-luna,GPT-6 Luna,,OpenAI,,GPT-6 Luna · OpenCode Go,standard,,10.0,10.204,0.0098000784,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增10.204亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；new official row; <=272K list price; >272K band kept in research variants; goat-opencode-catalogs-round3-2026-09-30.json。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,6,aa_intelligence_index:e41e4b6709da24d4,GPT-6 Luna (max),37.256,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:4d4153eb38f2e84f,Artificial Analysis - GPT-6 Luna (max),12.6263,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:27376aa104f48f0e,gpt-6-luna-max,1582,,False,,max,,1573.0,1591.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:04bd9ba65c143398,GPT 6 Luna (Max),1.68,,False,,max,,0.27,3.09,,0.06,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:01e2ffcaa1665576,Codex - GPT-6 Luna (max),41.0744,,False,Codex,max,,,,0.1759,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:df380d7af56a8dd0,GPT-6 Luna,83.1,,False,OpenDesign,,,,,0.015871,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
opencode_go::glm-5.3-flash,OpenCode Go,,subscription,glm-5.3-flash,GLM 5.3 Flash,,Zhipu,,GLM 5.3 Flash · OpenCode Go,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",10.0,16.973,0.0058917104,0.0353,0.1667,medium,main,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧4.44亿（请求估算）→16.973亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；official Usage $15->$60 (reverified 2026-09-30); goat-opencode-catalogs-round3-2026-09-30.json。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::glm-5.3,OpenCode Go,,subscription,glm-5.3,GLM 5.3,,Zhipu,,GLM 5.3 · OpenCode Go,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",10.0,0.485,0.20618557,0.3092,0.6668,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧0.571亿（请求估算）→0.485亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::glm-5.2,OpenCode Go,,subscription,glm-5.2,GLM 5.2,,Zhipu,,GLM 5.2 · OpenCode Go,standard,,10.0,1.94,0.051546392,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.94亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:4b9229f7a5210ab7,GLM-5.2 (max),33.7055,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:9ad8c75e6b68658f,Artificial Analysis - GLM-5.2 (max),1.0101,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:828ee7654a1873aa,glm-5.2-max,1605,,False,,max,,1598.6,1611.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:f4f60f98940c49ee,GLM 5.2 (Max),3.64,,False,,max,,2.9000000000000004,4.38,,0.76,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,deepswe_1_1:3c0de09601f2c8a8,mini-swe-agent - glm-5-2 (max),43.77777777777778,,False,mini-swe-agent,max,,42.05214815719697,45.50340739835859,3.9199075743111114,3.4637479200000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::kimi-k3,OpenCode Go,,subscription,kimi-k3,Kimi K3,,Kimi,,Kimi K3 · OpenCode Go,standard,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",10.0,0.34,0.29411765,0.441,0.6669,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧0.381亿（请求估算）→0.34亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::kimi-k2.7-code,OpenCode Go,,subscription,kimi-k2.7-code,Kimi K2.7 Code,,Kimi,,Kimi K2.7 Code · OpenCode Go,standard,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",10.0,2.631,0.038008362,0.228,0.1667,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧3.785亿（请求估算）→2.631亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::kimi-k2.6,OpenCode Go,,subscription,kimi-k2.6,Kimi K2.6,,Kimi,,Kimi K2.6 · OpenCode Go,standard,,10.0,3.016,0.033156499,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增3.016亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:97c970284455bffa,Kimi K2.6,26.9792,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:ca3671e92d985c3e,Artificial Analysis - Kimi K2.6,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:b806900ce18f190d,kimi-k2.6,1509,,False,,,,1501.8,1516.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::longcat-2.0,OpenCode Go,,subscription,longcat-2.0,LongCat 2.0,,Meituan,,LongCat 2.0 · OpenCode Go,standard,,10.0,31.056,0.0032199897,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增31.056亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:73481783e67e2f5b,LongCat 2.0,19.1123,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:d0a6a751fe4ac57c,Artificial Analysis - LongCat 2.0,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::mimo-v2.5,OpenCode Go,,subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,,MiMo V2.5 · OpenCode Go,standard,,10.0,78.782,0.0012693255,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增78.782亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::mimo-v2.5-pro,OpenCode Go,,subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,,MiMo V2.5 Pro · OpenCode Go,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",10.0,8.004,0.012493753,0.234,0.0534,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧14.196亿（请求估算）→8.004亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
opencode_go::mimo-v2.6-flash,OpenCode Go,,subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,,MiMo V2.6 Flash · OpenCode Go,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",10.0,78.782,0.0012693255,0.0076,0.1667,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增78.782亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档；Usage $60。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
opencode_go::mimo-v2.6-pro,OpenCode Go,,subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,,MiMo V2.6 Pro · OpenCode Go,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",10.0,8.004,0.012493753,0.0187,0.6675,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增8.004亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；官网单档；Usage $15；与 v2.5-pro 同 Usage 档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
opencode_go::minimax-m3,OpenCode Go,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · OpenCode Go,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,8.368,0.011950287,0.0717,0.1667,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧9.072亿（请求估算）→8.368亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::minimax-m2.7,OpenCode Go,,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · OpenCode Go,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,8.368,0.011950287,0.0717,0.1667,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增8.368亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::muse-spark-1.3-contributor,OpenCode Go,,subscription,muse-spark-1.3-contributor,Muse Spark 1.3 Contributor,,Muse,,Muse Spark 1.3 Contributor · OpenCode Go,standard,,10.0,110.294,0.00090666763,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增110.294亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::muse-spark-1.2-contributor,OpenCode Go,,subscription,muse-spark-1.2-contributor,Muse Spark 1.2 Contributor,,Muse,,Muse Spark 1.2 Contributor · OpenCode Go,standard,,10.0,110.294,0.00090666763,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增110.294亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::qwen3.8-max,OpenCode Go,,subscription,qwen3.8-max,Qwen3.8 Max,,Alibaba,,Qwen3.8 Max · OpenCode Go,standard,,10.0,0.465,0.21505376,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.465亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:8919405f90e7565f,Qwen3.8 Max,40.1529,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0487a0a408dccb82,Artificial Analysis - Qwen3.8 Max,18.6869,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ab7cf4e12f67d532,qwen3.8-max,1671,,False,,max,,1659.0,1683.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:9ce366a4c245bae4,Qwen3.8 Max,2.8,,False,,max,,2.15,3.4499999999999997,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:82bc37b4bd5aa375,Claude Code - Qwen3.8 Max,43.2653,,False,Claude Code,max,,,,3.479,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:fbd3d33fa1d7cf9a,Qwen 3.8-Max,72,,False,OpenDesign,max,,,,0.595399,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:f20515f2e81cba89,mini-swe-agent - qwen3-8-max (xhigh),57.46102449888642,,False,mini-swe-agent,max,,54.798231826378874,60.12381717139396,3.7290646500445437,3.132689060000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::qwen3.8-flash,OpenCode Go,,subscription,qwen3.8-flash,Qwen3.8 Flash,,Alibaba,,Qwen3.8 Flash · OpenCode Go,standard,,10.0,13.876,0.0072066878,,,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增13.876亿：min(共享月池$60, 模型Usage $30) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::qwen3.7-plus,OpenCode Go,,subscription,qwen3.7-plus,Qwen3.7 Plus,,Alibaba,,Qwen3.7 Plus · OpenCode Go,standard,"{'cached': 0.08, 'input': 0.4, 'output': 1.6, 'currency': 'USD'}",10.0,10.563,0.0094670075,0.0956,0.099,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧12.461亿（请求估算）→10.563亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；≤256K 标价；>256K 档保留在 research variants。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2e94df38c6b223ca,Qwen3.7 Plus,25.1622,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d9d54fa83beecde,Artificial Analysis - Qwen3.7 Plus,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_agent_mode:9cf4eb892a450683,Qwen3.7 Plus,-7.28,,False,,,,-8.75,-5.8100000000000005,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::deepseek-v4.1-flash,OpenCode Go,,subscription,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash · OpenCode Go,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,62.112,0.0016099948,0.0193,0.0833,medium,main,https://opencode.ai/docs/go/ 官方每模型 Usage 与三段价格；opencode-go-deepseek-round7-2026-09-30.json,"15.528→62.112亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网闲时 cached/input/output=$0.003/$0.15/$0.60，高峰2×。模型月Usage由$15升为永久$60（官网曾标4x限时至9/27，9/30页面撤标按$60常态列示，确认永久；估算请求130,000/月为旧$15档32,500的4倍，交叉一致）。官网 Model ID 现为 deepseek-v4.1-flash。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
opencode_go::deepseek-v4-pro,OpenCode Go,,subscription,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro · OpenCode Go,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",10.0,3.142,0.031826862,0.0955,0.3333,medium,full,https://opencode.ai/docs/go/ 官方每模型 Usage 与三段价格；opencode-go-deepseek-round7-2026-09-30.json,"旧4.318亿（请求估算）→3.142亿：min(共享月池$60, 模型Usage $15) ÷ 统一标准负载加权价；Off-Peak；Peak 额度为其一半，保留在 research variants；OpenCode 价表未改。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::deepseek-v4-flash,OpenCode Go,,subscription,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash · OpenCode Go,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",10.0,31.056,0.0032199897,0.0312,0.1033,medium,full,https://opencode.ai/docs/go/ 官方每模型 Usage 与三段价格；opencode-go-deepseek-round7-2026-09-30.json,"restored: official Usage $30 (reverified 2026-09-30; removed 09-10 as confirmed offline); min(shared monthly pool $60, model Usage $30) / standard-workload blended price; off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2x; official estimate 65,000 requests/mo. Per-model allowances within the plan do not add",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
opencode_go::deepseek-v4-flash-vision-exp,OpenCode Go,,subscription,deepseek-v4-flash-vision-exp,DeepSeek V4 Flash Vision Exp,,DeepSeek,,DeepSeek V4 Flash Vision Exp · OpenCode Go,standard,,10.0,15.528,0.0064399794,,,medium,full,https://opencode.ai/docs/go/ 官方每模型 Usage 与三段价格；opencode-go-deepseek-round7-2026-09-30.json,"restored: official Usage $15 (reverified 2026-09-30; removed 09-10 as confirmed offline); min(shared monthly pool $60, model Usage $15) / standard-workload blended price; off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2x; official estimate 32,500 requests/mo. Per-model allowances within the plan do not add",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2ab3fed6fb264856,DeepSeek V4 Flash Vision (max),34.8391,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:2bd2f5c3a28cefaa,Artificial Analysis - DeepSeek V4 Flash Vision (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
opencode_go::hy4-preview,OpenCode Go,,subscription,hy4-preview,Hy4 Preview,,Tencent,,Hy4 Preview · OpenCode Go,standard,"{'cached': 0.042, 'input': 0.834, 'output': 2.501, 'currency': 'USD'}",10.0,4.049,0.024697456,0.0741,0.3333,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"旧4.917亿（请求估算）→4.049亿：min(共享月池$60, 模型Usage $30) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:a9cb90573e973a11,hy4-preview,1633,,False,,,,1623.6,1642.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:edee122a50e59a89,Hy4 preview,4.24,,False,,,,3.39,5.09,,0.29,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:1d059a6d807d4308,Hunyuan H4 Preview,74.6,,False,OpenDesign,,,,,0.417793,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
opencode_go::hy3,OpenCode Go,,subscription,hy3,Hy3,,Tencent,,Hy3 · OpenCode Go,standard,"{'cached': 0.008, 'input': 0.08, 'output': 0.33, 'currency': 'USD'}",10.0,14.87,0.0067249496,0.0114,0.5894,medium,full,https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增14.87亿：min(共享月池$60, 模型Usage $60) ÷ 统一标准负载加权价；官网单档。官方请求数仅作交叉检查，不再作为额度主值；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:131d42e954c0324c,Hy3,25.2973,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:7e5e9735030b01c8,Artificial Analysis - Hy3,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c23c1b85207e0226,hy3,1508,,False,,,,1499.3,1516.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3a37aca313fcd27d,Hy3,-5.7,,False,,,,-6.93,-4.470000000000001,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::gpt-5.6-sol,Command Code GOAT,,subscription,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT 5.6 Sol · Command Code GOAT,standard,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",10.0,0.921,0.10857763,0.588,0.1847,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.921亿：min(共享月池$70, 模型allowance $70) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::glm-5.2,Command Code GOAT,,subscription,glm-5.2,GLM 5.2,,Zhipu,,GLM 5.2 · Command Code GOAT,standard,,10.0,2.264,0.044169611,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.264亿：min(共享月池$70, 模型allowance $70) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:4b9229f7a5210ab7,GLM-5.2 (max),33.7055,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:9ad8c75e6b68658f,Artificial Analysis - GLM-5.2 (max),1.0101,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:828ee7654a1873aa,glm-5.2-max,1605,,False,,max,,1598.6,1611.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:f4f60f98940c49ee,GLM 5.2 (Max),3.64,,False,,max,,2.9000000000000004,4.38,,0.76,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,deepswe_1_1:3c0de09601f2c8a8,mini-swe-agent - glm-5-2 (max),43.77777777777778,,False,mini-swe-agent,max,,42.05214815719697,45.50340739835859,3.9199075743111114,3.4637479200000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::hy3,Command Code GOAT,,subscription,hy3,Hy3,,Tencent,,Hy3 · Command Code GOAT,standard,"{'cached': 0.008, 'input': 0.08, 'output': 0.33, 'currency': 'USD'}",10.0,17.348,0.0057643532,0.0114,0.5052,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增17.348亿：min(共享月池$70, 模型allowance $70) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:131d42e954c0324c,Hy3,25.2973,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:7e5e9735030b01c8,Artificial Analysis - Hy3,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c23c1b85207e0226,hy3,1508,,False,,,,1499.3,1516.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3a37aca313fcd27d,Hy3,-5.7,,False,,,,-6.93,-4.470000000000001,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.8-27b,Command Code GOAT,,subscription,qwen3.8-27b,Qwen3.8 27B,,Alibaba,,Qwen3.8 27B · Command Code GOAT,standard,,10.0,10.972,0.0091141086,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增10.972亿：min(共享月池$70, 模型allowance $70) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:4555232c8e387389,Qwen3.8 27B (xhigh),33.6963,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,aa_terminal_bench_4:c563447fe73f34f6,Artificial Analysis - Qwen3.8 27B (xhigh),5.5556,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:b8dc0ef18e30c1dc,qwen3.8-27b,1590,,False,,,,1583.0,1597.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:22652d46f50fe772,Qwen 3.8 27B,-1.61,,False,,,,-2.21,-1.0100000000000002,,0.31,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::deepseek-v4.1-flash,Command Code GOAT,,subscription,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash · Command Code GOAT,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,62.112,0.0016099948,0.0193,0.0833,medium,main,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"41.408→62.112亿：min(共享月池$70, 模型allowance $60) ÷ 统一标准负载加权价；官网闲时 cached/input/output=$0.003/$0.15/$0.60，高峰2×。模型月allowance由$40升为永久$60（官网估算请求154,000/月与$60档 V4 Flash latest 完全同档，确认永久）。官方请求数仅作交叉检查，不再作为额度主值；忽略 processing fee；同套餐各模型额度不可相加",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
command_code_goat::kimi-k2.7-code,Command Code GOAT,,subscription,kimi-k2.7-code,Kimi K2.7 Code,,Kimi,,Kimi K2.7 Code · Command Code GOAT,standard,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",10.0,2.631,0.038008362,0.228,0.1667,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.631亿：min(共享月池$70, 模型allowance $60) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::deepseek-v4-flash,Command Code GOAT,,subscription,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash · Command Code GOAT,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",10.0,62.112,0.0016099948,0.0312,0.0516,medium,full,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"restored: official 'V4 Flash (latest)' allowance $60 (reverified 2026-09-30; removed 09-10 as confirmed offline); min(shared monthly pool $70, model allowance $60) / standard-workload blended price; off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2x; official estimate 154,000 requests/mo. Processing fee ignored; per-model allowances within the plan do not add",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::deepseek-v4.1-flash-fast,Command Code GOAT,,subscription,deepseek-v4.1-flash-fast,DeepSeek V4.1 Flash Fast,,DeepSeek,,DeepSeek V4.1 Flash Fast · Command Code GOAT,standard,,10.0,26.762,0.0037366415,,,medium,full,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"新增26.762亿：min(共享月池$70, 模型allowance $60) ÷ 统一标准负载加权价；new official row 'V4.1 Flash Fast' at $60 (off-peak $0.016/$0.16/$0.58, 57,500 requests/mo); goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::minimax-m3,Command Code GOAT,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · Command Code GOAT,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,6.555,0.01525553,0.0717,0.2128,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增6.555亿：min(共享月池$70, 模型allowance $47) ÷ 统一标准负载加权价；官网页成交/折扣三段价（-50%类）。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::glm-5.3-flash,Command Code GOAT,,subscription,glm-5.3-flash,GLM 5.3 Flash,,Zhipu,,GLM 5.3 Flash · Command Code GOAT,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",10.0,11.315,0.0088378259,0.0353,0.25,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增11.315亿：min(共享月池$70, 模型allowance $40) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::gemini-3.8-flash,Command Code GOAT,,subscription,gemini-3.8-flash,Gemini 3.8 Flash,,Google,,Gemini 3.8 Flash · Command Code GOAT,standard,,10.0,1.814,0.055126792,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.814亿：min(共享月池$70, 模型allowance $40) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,3,aa_intelligence_index:a795ed51d673418d,Gemini 3.8 Flash (high),40.9262,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:206ddf92cd474c5f,mini-SWE-agent - Gemini 3.8 Flash (high),19.09,,False,mini-SWE-agent,high,,15.73,22.45,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,aa_terminal_bench_4:a1eae5d167a32a34,Artificial Analysis - Gemini 3.8 Flash (medium),19.697,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:cee78179b654f666,gemini-3.8-flash-high,1583,,False,,high,,1575.1,1590.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:60a00778bc1492a5,Gemini 3.8 Flash (High),2.96,,False,,high,,2.14,3.78,,0.58,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:68de21286728c605,Antigravity SDK - Gemini 3.8 Flash (high),41.8632,,False,Antigravity SDK v0.1.12,high,,,,2.4674,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:e5b1ca76e59dabd0,Gemini 3.8 Flash,68.9,,False,OpenDesign,,,,,0.210201,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,deepswe_1_1:a4e0e06e8292b616,mini-swe-agent - gemini-3-8-flash (high),73.8255033557047,,False,mini-swe-agent,high,,72.40819014906883,75.24281656234058,2.362349413758389,2.1098912999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::qwen3.7-max,Command Code GOAT,,subscription,qwen3.7-max,Qwen3.7 Max,,Alibaba,,Qwen3.7 Max · Command Code GOAT,standard,,10.0,0.564,0.17730496,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.564亿：min(共享月池$70, 模型allowance $33) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:b3246639fa93a057,Qwen3.7 Max,29.4572,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:a3c02275461ec0cb,Artificial Analysis - Qwen3.7 Max,1.5152,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ab16d803c029884c,qwen3.7-max-20260517,1515,,False,,max,,1507.6,1522.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:15166add541e68d5,Qwen3.7 Max,-5.2,,False,,max,,-6.140000000000001,-4.26,,0.19,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.7-plus,Command Code GOAT,,subscription,qwen3.7-plus,Qwen3.7 Plus,,Alibaba,,Qwen3.7 Plus · Command Code GOAT,standard,"{'cached': 0.08, 'input': 0.4, 'output': 1.6, 'currency': 'USD'}",10.0,3.452,0.028968714,0.0956,0.303,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增3.452亿：min(共享月池$70, 模型allowance $33) ÷ 统一标准负载加权价；官网三段价（本渠道 cache read=$0.08）。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2e94df38c6b223ca,Qwen3.7 Plus,25.1622,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d9d54fa83beecde,Artificial Analysis - Qwen3.7 Plus,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_agent_mode:9cf4eb892a450683,Qwen3.7 Plus,-7.28,,False,,,,-8.75,-5.8100000000000005,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.6-plus,Command Code GOAT,,subscription,qwen3.6-plus,Qwen3.6 Plus,,Alibaba,,Qwen3.6 Plus · Command Code GOAT,standard,,10.0,2.651,0.037721614,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.651亿：min(共享月池$70, 模型allowance $33) ÷ 统一标准负载加权价；官网三段价（本渠道 cache read=$0.10）。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:238aba7e1b811926,Qwen3.6 Plus [AA estimate],27.0099,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:b7e5e5b8df1a65a0,qwen3.6-plus,1461,,False,,,,1455.4,1466.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::mimo-v2.5,Command Code GOAT,,subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,,MiMo V2.5 · Command Code GOAT,standard,,10.0,39.391,0.002538651,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增39.391亿：min(共享月池$70, 模型allowance $30) ÷ 统一标准负载加权价；官网页成交/折扣三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::deepseek-v4-pro,Command Code GOAT,,subscription,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro · Command Code GOAT,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",10.0,4.189,0.023872046,0.0955,0.25,medium,full,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"新增4.189亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；Off-Peak；Peak≈2×（01–04 & 06–10 UTC weekdays），与OpenCode口径一致。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::gpt-5.6-luna,Command Code GOAT,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · Command Code GOAT,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",10.0,6.579,0.015199878,0.0304,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增6.579亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::qwen3.8-max,Command Code GOAT,,subscription,qwen3.8-max,Qwen3.8 Max,,Alibaba,,Qwen3.8 Max · Command Code GOAT,standard,,10.0,0.62,0.16129032,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.62亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:8919405f90e7565f,Qwen3.8 Max,40.1529,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0487a0a408dccb82,Artificial Analysis - Qwen3.8 Max,18.6869,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ab7cf4e12f67d532,qwen3.8-max,1671,,False,,max,,1659.0,1683.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:9ce366a4c245bae4,Qwen3.8 Max,2.8,,False,,max,,2.15,3.4499999999999997,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:82bc37b4bd5aa375,Claude Code - Qwen3.8 Max,43.2653,,False,Claude Code,max,,,,3.479,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:fbd3d33fa1d7cf9a,Qwen 3.8-Max,72,,False,OpenDesign,max,,,,0.595399,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:f20515f2e81cba89,mini-swe-agent - qwen3-8-max (xhigh),57.46102449888642,,False,mini-swe-agent,max,,54.798231826378874,60.12381717139396,3.7290646500445437,3.132689060000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::mimo-v2.5-pro,Command Code GOAT,,subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,,MiMo V2.5 Pro · Command Code GOAT,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",10.0,10.685,0.0093589144,0.234,0.04,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增10.685亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网页成交/折扣三段价。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
command_code_goat::grok-4.7,Command Code GOAT,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · Command Code GOAT,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,0.354,0.28248588,0.565,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.354亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; $20 (moved to the New models table on 2026-09-30)。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
command_code_goat::gpt-6-luna,Command Code GOAT,,subscription,gpt-6-luna,GPT-6 Luna,,OpenAI,,GPT-6 Luna · Command Code GOAT,standard,,10.0,13.605,0.0073502389,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增13.605亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; New models table $20 (cache write $0.125); goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,6,aa_intelligence_index:e41e4b6709da24d4,GPT-6 Luna (max),37.256,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:4d4153eb38f2e84f,Artificial Analysis - GPT-6 Luna (max),12.6263,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:27376aa104f48f0e,gpt-6-luna-max,1582,,False,,max,,1573.0,1591.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:04bd9ba65c143398,GPT 6 Luna (Max),1.68,,False,,max,,0.27,3.09,,0.06,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:01e2ffcaa1665576,Codex - GPT-6 Luna (max),41.0744,,False,Codex,max,,,,0.1759,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:df380d7af56a8dd0,GPT-6 Luna,83.1,,False,OpenDesign,,,,,0.015871,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.8-omni-flash,Command Code GOAT,,subscription,qwen3.8-omni-flash,Qwen3.8 Omni Flash,,Alibaba,,Qwen3.8 Omni Flash · Command Code GOAT,standard,,10.0,9.251,0.010809642,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增9.251亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; New models table $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.8-max-0902,Command Code GOAT,,subscription,qwen3.8-max-0902,Qwen3.8 Max 0902,,Alibaba,,Qwen3.8 Max 0902 · Command Code GOAT,standard,,10.0,0.62,0.16129032,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.62亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:c9c2272b5b7ddbdf,Qwen3.8 Max (0902),45.4152,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:696204be45eb44af,Artificial Analysis - Qwen3.8 Max (0902),38.8889,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f7b0b66ed443b08,qwen3.8-max-0902,1670,,False,,max,,1662.0,1678.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::hy4-preview,Command Code GOAT,,subscription,hy4-preview,Hy4 Preview,,Tencent,,Hy4 Preview · Command Code GOAT,standard,"{'cached': 0.042, 'input': 0.834, 'output': 2.501, 'currency': 'USD'}",10.0,2.699,0.03705076,0.0741,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.699亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:a9cb90573e973a11,hy4-preview,1633,,False,,,,1623.6,1642.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:edee122a50e59a89,Hy4 preview,4.24,,False,,,,3.39,5.09,,0.29,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:1d059a6d807d4308,Hunyuan H4 Preview,74.6,,False,OpenDesign,,,,,0.417793,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.8-flash,Command Code GOAT,,subscription,qwen3.8-flash,Qwen3.8 Flash,,Alibaba,,Qwen3.8 Flash · Command Code GOAT,standard,,10.0,9.145,0.010934937,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增9.145亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价（本渠道 input=$0.16）；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::glm-5.3-flashx,Command Code GOAT,,subscription,glm-5.3-flashx,GLM 5.3 FlashX,,Zhipu,,GLM 5.3 FlashX · Command Code GOAT,standard,,10.0,2.266,0.044130627,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.266亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; New models table $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:e7590d5e99a8809f,GLM-5.3 Flash-X,80.1,,False,OpenDesign,,,,,0.097833,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
command_code_goat::deepseek-v4-flash-vision-exp,Command Code GOAT,,subscription,deepseek-v4-flash-vision-exp,DeepSeek V4 Flash Vision Exp,,DeepSeek,,DeepSeek V4 Flash Vision Exp · Command Code GOAT,standard,,10.0,20.704,0.0048299845,,,medium,full,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"restored: official 'V4 Flash Vision (exp)' allowance $20 (reverified 2026-09-30; removed 09-10 as confirmed offline); min(shared monthly pool $70, model allowance $20) / standard-workload blended price; off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2x. Processing fee ignored; per-model allowances within the plan do not add",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2ab3fed6fb264856,DeepSeek V4 Flash Vision (max),34.8391,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:2bd2f5c3a28cefaa,Artificial Analysis - DeepSeek V4 Flash Vision (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::deepseek-v4-flash-fast,Command Code GOAT,,subscription,deepseek-v4-flash-fast,DeepSeek V4 Flash Fast,,DeepSeek,,DeepSeek V4 Flash Fast · Command Code GOAT,standard,,10.0,2.574,0.038850039,,,medium,full,https://commandcode.ai/docs/plans/goat 官方每模型 allowance 与三段价；https://commandcode.ai/pricing；$10→$70 credits；command-code-goat-deepseek-round2-2026-09-30.json,"新增2.574亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20；与Flash额度分开。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::glm-5.3,Command Code GOAT,,subscription,glm-5.3,GLM 5.3,,Zhipu,,GLM 5.3 · Command Code GOAT,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",10.0,0.647,0.15455951,0.3092,0.4999,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.647亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::muse-spark-1.3,Command Code GOAT,,subscription,muse-spark-1.3,Muse Spark 1.3,,Muse,,Muse Spark 1.3 · Command Code GOAT,standard,,10.0,1.01,0.099009901,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.01亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网标准档三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:a8c28362dff3aa31,Muse Spark 1.3 (max),48.0923,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:3ceb10cebdd638c2,Artificial Analysis - Muse Spark 1.3 (max),33.3333,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:d79805eb17b0ddce,muse-spark-1.3-max,1655,,False,,max,,1646.3,1663.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0d8b2c85e74d262f,Muse Spark 1.3 (Max),4.19,,False,,max,,3.6000000000000005,4.78,,0.41,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:36a45d40bcfc3714,Muse Code - Muse Spark 1.3 (max),54.3027,,False,Muse Code,max,,,,3.9775,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:3d2b13f88b32b8ff,Muse Spark 1.3,66.6,,False,OpenDesign,,,,,0.267309,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
command_code_goat::muse-spark-1.3-contributor,Command Code GOAT,,subscription,muse-spark-1.3-contributor,Muse Spark 1.3 Contributor,,Muse,,Muse Spark 1.3 Contributor · Command Code GOAT,standard,,10.0,36.765,0.0027199782,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增36.765亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网 contributor 三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::muse-spark-1.2,Command Code GOAT,,subscription,muse-spark-1.2,Muse Spark 1.2,,Muse,,Muse Spark 1.2 · Command Code GOAT,standard,,10.0,1.01,0.099009901,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.01亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网标准档三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:9666106dbc0fffc1,Muse Spark 1.2 (xhigh),39.5759,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:af37ce7e1e85aaba,Artificial Analysis - Muse Spark 1.2 (xhigh),7.0707,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:11c91ee348aca987,muse-spark-1.2 (xHigh),1532,,False,,xhigh,,1518.4,1545.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:84c2affbfb9336da,Muse Spark 1.2 (xHigh),-2.96,,False,,xhigh,,-3.65,-2.27,,0.4,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c181f2262d3e9d70,mini-swe-agent - muse-spark-1-2 (xhigh),54.86725663716814,,False,mini-swe-agent,xhigh,,52.74295943524101,56.99155383909527,3.6955048180309733,2.6840506,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::muse-spark-1.2-contributor,Command Code GOAT,,subscription,muse-spark-1.2-contributor,Muse Spark 1.2 Contributor,,Muse,,Muse Spark 1.2 Contributor · Command Code GOAT,standard,,10.0,36.765,0.0027199782,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增36.765亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网 contributor 三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::kimi-k3,Command Code GOAT,,subscription,kimi-k3,Kimi K3,,Kimi,,Kimi K3 · Command Code GOAT,standard,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",10.0,0.454,0.22026432,0.441,0.4995,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.454亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; New models table $20 (temporary $60 promo through 10/7, not adopted per temp-promo policy)。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::kimi-k2.7-code-highspeed,Command Code GOAT,,subscription,kimi-k2.7-code-highspeed,Kimi K2.7 Code HighSpeed,,Kimi,,Kimi K2.7 Code HighSpeed · Command Code GOAT,standard,,10.0,0.439,0.22779043,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.439亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；速度变体独立$20，不继承K2.7 Code的$60。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::grok-4.5,Command Code GOAT,,subscription,grok-4.5,Grok 4.5,,SpaceXAI,,Grok 4.5 · Command Code GOAT,standard,"{'cached': 0.3, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,0.354,0.28248588,0.371,0.7614,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.354亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:829ff4209a0293bc,Grok 4.5 (high),38.8121,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:98d088ff379b956d,Grok Build - Grok 4.5 (high),12.42,,False,Grok Build,high,,9.8,15.04,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:68bfb23c4047a7a3,Artificial Analysis - Grok 4.5 (high),10.6061,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dc0921a30ecddd2c,grok-4.5,1552,,False,,,,1545.4,1558.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:069dfce97d9ef41d,Grok 4.5,1.11,,False,,,,0.1200000000000001,2.1,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:70b6e868fcb9cd80,mini-swe-agent - grok-4-5 (high),53.76106194690266,,False,mini-swe-agent,high,,51.48025737402474,56.04186651978057,2.4157481725663716,2.02311,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::grok-4.6,Command Code GOAT,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Command Code GOAT,standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",10.0,0.354,0.28248588,0.565,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.354亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::mimo-v2.6-pro,Command Code GOAT,,subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,,MiMo V2.6 Pro · Command Code GOAT,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",10.0,10.685,0.0093589144,0.0187,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增10.685亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
command_code_goat::mimo-v2.6-flash,Command Code GOAT,,subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,,MiMo V2.6 Flash · Command Code GOAT,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",10.0,26.261,0.0038079281,0.0076,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增26.261亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; moved to New models table at $20 (no longer in the Every model $30 table); goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
command_code_goat::mimo-v2.6-pro-ultraspeed,Command Code GOAT,,subscription,mimo-v2.6-pro-ultraspeed,MiMo V2.6 Pro UltraSpeed,,Xiaomi,,MiMo V2.6 Pro UltraSpeed · Command Code GOAT,standard,"{'cached': 0.036, 'input': 4.35, 'output': 8.7, 'currency': 'USD'}",10.0,0.534,0.18726592,0.1872,1.0005,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.534亿：min(共享月池$70, 模型allowance $10) ÷ 统一标准负载加权价；官网三段价；官方明示按Pro价10×故仅配$10 credits。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::gemini-3.7-flash,Command Code GOAT,,subscription,gemini-3.7-flash,Gemini 3.7 Flash,,Google,,Gemini 3.7 Flash · Command Code GOAT,standard,"{'cached': 0.075, 'input': 0.75, 'output': 3.75, 'currency': 'USD'}",10.0,1.814,0.055126792,0.1103,0.5,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.814亿：min(共享月池$70, 模型allowance $40) ÷ 统一标准负载加权价；官网三段价；New models 表写$40。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,3,aa_intelligence_index:59269287bc1e95d8,Gemini 3.7 Flash (medium) [AA estimate],39.6178,True,False,,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2106790cd4627629,mini-SWE-agent - Gemini 3.7 Flash (high),11.21,,False,mini-SWE-agent,high,,8.760000000000002,13.66,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:69dd3b76427af507,Artificial Analysis - Gemini 3.7 Flash (high),13.6364,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:778f5c97eb827e03,gemini-3.7-flash-high,1592,,False,,high,,1584.6,1599.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:47cad90e68374509,Gemini 3.7 Flash (High),-1.64,,False,,high,,-2.4,-0.8799999999999999,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,deepswe_1_1:e9d8d5305f3c7552,mini-swe-agent - gemini-3-7-flash (medium),65.48672566371681,,False,mini-swe-agent,medium,,62.40019338730129,68.57325794013234,2.0251351826880533,1.65422055,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
command_code_goat::glm-5.2-fast,Command Code GOAT,,subscription,glm-5.2-fast,GLM 5.2 Fast,,Zhipu,,GLM 5.2 Fast · Command Code GOAT,standard,,10.0,0.327,0.3058104,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.327亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；速度变体独立$20，不继承GLM-5.2的$70。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::inkling,Command Code GOAT,,subscription,inkling,Inkling,,other,,Inkling · Command Code GOAT,standard,,10.0,0.952,0.10504202,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.952亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:ae97bbe112769bcd,Inkling (xhigh),24.9848,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:8b8fcc0fa14e07eb,Artificial Analysis - Inkling (xhigh),1.0101,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:07b745ae2862d994,inkling,1412,,False,,,,1405.6,1418.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8967f33635820f8b,Inkling,-10.9,,False,,,,-11.96,-9.84,,0.25,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::inkling-small,Command Code GOAT,,subscription,inkling-small,Inkling Small,,other,,Inkling Small · Command Code GOAT,standard,,10.0,1.732,0.057736721,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.732亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:2ecad05994d7b1af,Inkling Small,25.6583,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:d0b5249bef72ad97,Artificial Analysis - Inkling Small,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5e9cc8edc5997bcf,Inkling Small,1408,,False,,,,1399.0,1417.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:03dbaa1180987af9,Inkling Small,-9.8,,False,,,,-11.22,-8.38,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::step-5-preview,Command Code GOAT,,subscription,step-5-preview,Step 5 Preview,,StepFun,,Step 5 Preview · Command Code GOAT,standard,"{'cached': 0.35, 'input': 7.0, 'output': 20.0, 'currency': 'CNY'}",10.0,2.299,0.043497173,0.0907,0.4798,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.299亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; New models table $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:fb0405a168316f85,Step 5 Preview,43.7343,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:e7fa06d82cc14898,Artificial Analysis - Step 5 Preview,33.3333,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5ebff85aa1280e1f,step-5-preview-high,1570,,False,,high,,1556.8,1583.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::step-3.7-flash,Command Code GOAT,,subscription,step-3.7-flash,Step 3.7 Flash,,StepFun,,Step 3.7 Flash · Command Code GOAT,standard,"{'cached': 0.27, 'input': 1.35, 'output': 8.1, 'currency': 'CNY'}",10.0,4.036,0.024777007,0.0496,0.4996,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增4.036亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:e8828ee245d130af,Step 3.7 Flash [AA estimate],19.4813,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::step-3.5-flash,Command Code GOAT,,subscription,step-3.5-flash,Step 3.5 Flash,,StepFun,,Step 3.5 Flash · Command Code GOAT,standard,"{'cached': 0.14, 'input': 0.7, 'output': 2.1, 'currency': 'CNY'}",10.0,8.639,0.011575414,0.0242,0.479,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增8.639亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price, input $0.10->$0.09 (reverified 2026-09-30); New models default $20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:f4ecc0cb880e6a93,Step 3.5 Flash 2603 [AA estimate],16.9641,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::nemotron-3-ultra,Command Code GOAT,,subscription,nemotron-3-ultra,Nemotron 3 Ultra,,other,,Nemotron 3 Ultra · Command Code GOAT,standard,,10.0,1.395,0.071684588,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.395亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；官网三段价；New models 默认$20。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:5cd72513bff7d4b7,Nemotron 3 Ultra,22.9279,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d0d41d5c6a6aa9b,Artificial Analysis - Nemotron 3 Ultra,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::longcat-2.0,Command Code GOAT,,subscription,longcat-2.0,LongCat 2.0,,Meituan,,LongCat 2.0 · Command Code GOAT,standard,,10.0,25.88,0.0038639876,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增25.88亿：min(共享月池$70, 模型allowance $50) ÷ 统一标准负载加权价；official three-part price; Every model table $50; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:73481783e67e2f5b,LongCat 2.0,19.1123,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:d0a6a751fe4ac57c,Artificial Analysis - LongCat 2.0,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::claude-sonnet-5.5,Command Code GOAT,,subscription,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 · Command Code GOAT,standard,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",10.0,0.34,0.29411765,0.197,1.493,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.34亿：min(共享月池$70, 模型allowance $10) ÷ 统一标准负载加权价；official three-part price; standalone table $10 (launched 2026-09-28); cache write $2.50 excluded from standard workload; channel catalog price unchanged by vendor cached-read cut (2026-10-08); goat-opencode-catalogs-round3-2026-09-30.json; claude-haiku55-round1-2026-10-08.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
command_code_goat::kimi-k2.6,Command Code GOAT,,subscription,kimi-k2.6,Kimi K2.6,,Kimi,,Kimi K2.6 · Command Code GOAT,standard,,10.0,1.005,0.099502488,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.005亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:97c970284455bffa,Kimi K2.6,26.9792,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:ca3671e92d985c3e,Artificial Analysis - Kimi K2.6,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:b806900ce18f190d,kimi-k2.6,1509,,False,,,,1501.8,1516.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::kimi-k2.5,Command Code GOAT,,subscription,kimi-k2.5,Kimi K2.5,,Kimi,,Kimi K2.5 · Command Code GOAT,standard,,10.0,1.575,0.063492063,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增1.575亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:589e83427c9b8ab7,Kimi K2.5 [AA estimate],23.4585,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,arena_code:79ddd44617f3ec62,kimi-k2.5-thinking,1436,,False,,thinking,,1430.8,1441.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::glm-5.1,Command Code GOAT,,subscription,glm-5.1,GLM 5.1,,Zhipu,,GLM 5.1 · Command Code GOAT,standard,,10.0,0.647,0.15455951,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.647亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:f45138a64ed521bd,GLM-5.1,26.0586,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:39ff8a3fc7a8b6c2,Artificial Analysis - GLM-5.1,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:19874ad7a301d76d,glm-5.1,1508,,False,,,,1501.2,1514.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::glm-5,Command Code GOAT,,subscription,glm-5,GLM 5,,Zhipu,,GLM 5 · Command Code GOAT,standard,,10.0,0.851,0.11750881,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.851亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,2,aa_intelligence_index:b5ff5400e6b8641a,GLM-5 [AA estimate],27.9112,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:1744764b0671d723,glm-5,1434,,False,,,,1425.9,1442.1,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.7-flash,Command Code GOAT,,subscription,qwen3.7-flash,Qwen3.7 Flash,,Alibaba,,Qwen3.7 Flash · Command Code GOAT,standard,,10.0,27.701,0.003609978,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增27.701亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price (<=32K band; <=256K/>256K bands kept in research); Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::qwen3.6-max-preview,Command Code GOAT,,subscription,qwen3.6-max-preview,Qwen3.6 Max Preview,,Alibaba,,Qwen3.6 Max Preview · Command Code GOAT,standard,,10.0,0.618,0.1618123,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增0.618亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:3a58445ae77253e4,Qwen3.6 Max Preview [AA estimate],28.3749,True,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:efbac4e58b06eb10,qwen3.6-max-preview,1482,,False,,max,,1469.5,1494.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::minimax-m2.7,Command Code GOAT,,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · Command Code GOAT,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",10.0,2.789,0.035855145,0.0717,0.5001,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增2.789亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
command_code_goat::minimax-m2.5,Command Code GOAT,,subscription,minimax-m2.5,MiniMax M2.5,,MiniMax,,MiniMax M2.5 · Command Code GOAT,standard,,10.0,4.695,0.021299255,,,medium,full,https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json,"新增4.695亿：min(共享月池$70, 模型allowance $20) ÷ 统一标准负载加权价；official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json。忽略 processing fee；同套餐各模型额度不可相加；无面板 token+% 截图，按官方绝对credits+价表",False,,2026-09-30,official,,highest_archived_reference,1,aa_intelligence_index:ae390fdc5fe89d6c,MiniMax-M2.5 [AA estimate],22.7966,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,arena_code:28d1b5355f79eb7b,minimax-m2.5,1386,,False,,,,1377.7,1394.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_pro::deepseek-v4.1-flash,Ollama Pro,,subscription,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash · Ollama Pro,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",20.0,62.112,0.0032199897,0.0193,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增62.112亿：共享月池 $60 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（Ollama 峰窗 12:00–18:00 UTC Mon–Fri，金额对齐 DeepSeek 官方 V4.1 Flash 但窗口不同）；2026-09-10 起分批上线；Ollama 仅此一个 V4.1 变体；ollama-deepseek-v41-round1-2026-09-11.json。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-11,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
ollama_pro::deepseek-v4-flash,Ollama Pro,,subscription,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash · Ollama Pro,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",20.0,38.486,0.0051966949,0.0312,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增38.486亿：共享月池 $60 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（12:00–18:00 UTC Mon–Fri），与项目/OpenCode DeepSeek 峰谷口径一致。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::deepseek-v4-pro,Ollama Pro,,subscription,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro · Ollama Pro,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",20.0,12.568,0.015913431,0.0955,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增12.568亿：共享月池 $60 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（12:00–18:00 UTC Mon–Fri），与项目/OpenCode DeepSeek 峰谷口径一致。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::glm-5.3,Ollama Pro,,subscription,glm-5.3,GLM 5.3,,Zhipu,,GLM 5.3 · Ollama Pro,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",20.0,1.94,0.10309278,0.3092,0.3334,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增1.94亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::glm-5.3-flash,Ollama Pro,,subscription,glm-5.3-flash,GLM 5.3 Flash,,Zhipu,,GLM 5.3 Flash · Ollama Pro,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",20.0,16.973,0.011783421,0.0353,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增16.973亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::glm-5.2,Ollama Pro,,subscription,glm-5.2,GLM 5.2,,Zhipu,,GLM 5.2 · Ollama Pro,standard,,20.0,1.94,0.10309278,,,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增1.94亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:4b9229f7a5210ab7,GLM-5.2 (max),33.7055,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:9ad8c75e6b68658f,Artificial Analysis - GLM-5.2 (max),1.0101,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:828ee7654a1873aa,glm-5.2-max,1605,,False,,max,,1598.6,1611.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:f4f60f98940c49ee,GLM 5.2 (Max),3.64,,False,,max,,2.9000000000000004,4.38,,0.76,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,deepswe_1_1:3c0de09601f2c8a8,mini-swe-agent - glm-5-2 (max),43.77777777777778,,False,mini-swe-agent,max,,42.05214815719697,45.50340739835859,3.9199075743111114,3.4637479200000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::glm-5.1,Ollama Pro,,subscription,glm-5.1,GLM 5.1,,Zhipu,,GLM 5.1 · Ollama Pro,standard,,20.0,2.553,0.078339209,,,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增2.553亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:f45138a64ed521bd,GLM-5.1,26.0586,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:39ff8a3fc7a8b6c2,Artificial Analysis - GLM-5.1,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:19874ad7a301d76d,glm-5.1,1508,,False,,,,1501.2,1514.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_pro::kimi-k3,Ollama Pro,,subscription,kimi-k3,Kimi K3,,Kimi,,Kimi K3 · Ollama Pro,standard,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",20.0,1.361,0.14695077,0.441,0.3332,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增1.361亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::kimi-k2.7-code,Ollama Pro,,subscription,kimi-k2.7-code,Kimi K2.7 Code,,Kimi,,Kimi K2.7 Code · Ollama Pro,standard,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",20.0,2.631,0.076016724,0.228,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增2.631亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_pro::minimax-m3,Ollama Pro,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · Ollama Pro,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",20.0,4.184,0.047801147,0.0717,0.6667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增4.184亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价（Ollama 标价约为 OpenCode/Command 常见成交价 2×，用本渠道价表）。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_pro::minimax-m2.7,Ollama Pro,,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · Ollama Pro,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",20.0,8.368,0.023900574,0.0717,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增8.368亿：共享月池 $60 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_max::deepseek-v4.1-flash,Ollama Max,,subscription,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash · Ollama Max,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",100.0,310.559,0.0032200001,0.0193,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增310.559亿：共享月池 $300 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（Ollama 峰窗 12:00–18:00 UTC Mon–Fri，金额对齐 DeepSeek 官方 V4.1 Flash 但窗口不同）；2026-09-10 起分批上线；Ollama 仅此一个 V4.1 变体；ollama-deepseek-v41-round1-2026-09-11.json。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-11,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
ollama_max::deepseek-v4-flash,Ollama Max,,subscription,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash · Ollama Max,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",100.0,192.431,0.0051966679,0.0312,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增192.431亿：共享月池 $300 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（12:00–18:00 UTC Mon–Fri），与项目/OpenCode DeepSeek 峰谷口径一致。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::deepseek-v4-pro,Ollama Max,,subscription,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro · Ollama Max,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",100.0,62.84,0.015913431,0.0955,0.1667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增62.84亿：共享月池 $300 ÷ 统一标准负载加权价；Off-Peak；Peak=2×（12:00–18:00 UTC Mon–Fri），与项目/OpenCode DeepSeek 峰谷口径一致。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::glm-5.3,Ollama Max,,subscription,glm-5.3,GLM 5.3,,Zhipu,,GLM 5.3 · Ollama Max,standard,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",100.0,9.702,0.10307153,0.3092,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增9.702亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::glm-5.3-flash,Ollama Max,,subscription,glm-5.3-flash,GLM 5.3 Flash,,Zhipu,,GLM 5.3 Flash · Ollama Max,standard,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",100.0,84.866,0.011783282,0.0353,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增84.866亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::glm-5.2,Ollama Max,,subscription,glm-5.2,GLM 5.2,,Zhipu,,GLM 5.2 · Ollama Max,standard,,100.0,9.702,0.10307153,,,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增9.702亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:4b9229f7a5210ab7,GLM-5.2 (max),33.7055,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:9ad8c75e6b68658f,Artificial Analysis - GLM-5.2 (max),1.0101,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:828ee7654a1873aa,glm-5.2-max,1605,,False,,max,,1598.6,1611.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:f4f60f98940c49ee,GLM 5.2 (Max),3.64,,False,,max,,2.9000000000000004,4.38,,0.76,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,deepswe_1_1:3c0de09601f2c8a8,mini-swe-agent - glm-5-2 (max),43.77777777777778,,False,mini-swe-agent,max,,42.05214815719697,45.50340739835859,3.9199075743111114,3.4637479200000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::glm-5.1,Ollama Max,,subscription,glm-5.1,GLM 5.1,,Zhipu,,GLM 5.1 · Ollama Max,standard,,100.0,12.766,0.078333072,,,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增12.766亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:f45138a64ed521bd,GLM-5.1,26.0586,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:39ff8a3fc7a8b6c2,Artificial Analysis - GLM-5.1,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:19874ad7a301d76d,glm-5.1,1508,,False,,,,1501.2,1514.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_max::kimi-k3,Ollama Max,,subscription,kimi-k3,Kimi K3,,Kimi,,Kimi K3 · Ollama Max,standard,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",100.0,6.803,0.14699397,0.441,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增6.803亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::kimi-k2.7-code,Ollama Max,,subscription,kimi-k2.7-code,Kimi K2.7 Code,,Kimi,,Kimi K2.7 Code · Ollama Max,standard,"{'cached': 0.19, 'input': 0.95, 'output': 4.0, 'currency': 'USD'}",100.0,13.155,0.076016724,0.228,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增13.155亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:b0c9eb24f253523d,Kimi K2.7 Code,25.8121,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:c9067f00834590ba,Artificial Analysis - Kimi K2.7 Code,1.0101,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:24e3159d841ef7a4,kimi-k2.7-code,1473,,False,,,,1463.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c25e237262636381,mini-swe-agent - kimi-k2-7-code (None),30.53097345132743,,False,mini-swe-agent,none,,30.030271799081337,31.031675103573527,2.815536243274336,2.1955079100000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
ollama_max::minimax-m3,Ollama Max,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · Ollama Max,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",100.0,20.921,0.047798862,0.0717,0.6667,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增20.921亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价（Ollama 标价约为 OpenCode/Command 常见成交价 2×，用本渠道价表）。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
ollama_max::minimax-m2.7,Ollama Max,,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · Ollama Max,standard,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",100.0,41.841,0.023900002,0.0717,0.3333,medium,full,https://ollama.com/pricing 官方 usage credits 与三段价；https://ollama.com/blog/transparent-pricing；code-subscriptions-round1-2026-09-06.json；ollama-deepseek-v41-round1-2026-09-11.json,新增41.841亿：共享月池 $300 ÷ 统一标准负载加权价；官网三段价。同套餐各模型额度不可相加（共享池按单模型打满）；无面板 token+% 截图，按官方绝对credits+价表,False,,2026-09-06,official,,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_mini_cn::step-3.5-flash,Step Plan Mini (¥49),,subscription,step-3.5-flash,Step 3.5 Flash,,StepFun,,Step 3.5 Flash · Step Plan Mini (¥49),lowCache,"{'cached': 0.14, 'input': 0.7, 'output': 2.1, 'currency': 'CNY'}",7.23,17.316,0.0041744772,0.0242,0.1728,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,24.42→17.316亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.231/M；国内站月度400M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.14/0.7/2.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:f4ecc0cb880e6a93,Step 3.5 Flash 2603 [AA estimate],16.9641,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_mini_cn::step-3.7-flash,Step Plan Mini (¥49),,subscription,step-3.7-flash,Step 3.7 Flash,,StepFun,,Step 3.7 Flash · Step Plan Mini (¥49),lowCache,"{'cached': 0.27, 'input': 1.35, 'output': 8.1, 'currency': 'CNY'}",7.23,8.588,0.0084170059,0.0496,0.1697,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,11.899→8.588亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.466/M；国内站月度400M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.27/1.35/8.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,1,aa_intelligence_index:e8828ee245d130af,Step 3.7 Flash [AA estimate],19.4813,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_mini_cn::step-5-preview,Step Plan Mini (¥49),,subscription,step-5-preview,Step 5 Preview,,StepFun,,Step 5 Preview · Step Plan Mini (¥49),lowCache,"{'cached': 0.35, 'input': 7.0, 'output': 20.0, 'currency': 'CNY'}",7.23,2.832,0.025524451,0.0907,0.2816,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,新增2.832亿：国内站月度400M Credit÷低缓存统一负载混合价¥1.413/M（conventions.lowCacheTokenMix 85%/14.5%/0.5%，2026-09-22裁定Step全系统一口径）。对照：本机实测79.0% mix混合价¥1.791/M，对应2.233亿（210.17M tokens大样本，OpenCode+DSH同窗）。借用Plus验证过的Credit计费口径，池额为官方表值、本档未面板验证。分数：AA index 44（维护者截图整数读数，疑为 v4.3 后新版 index）；TB4 33.3% 为 AA 独立实测（非自报）。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-21,official,,highest_archived_reference,1,aa_intelligence_index:fb0405a168316f85,Step 5 Preview,43.7343,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:e7fa06d82cc14898,Artificial Analysis - Step 5 Preview,33.3333,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5ebff85aa1280e1f,step-5-preview-high,1570,,False,,high,,1556.8,1583.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_plus_cn::step-3.5-flash,Step Plan Plus (¥99),,subscription,step-3.5-flash,Step 3.5 Flash,,StepFun,,Step 3.5 Flash · Step Plan Plus (¥99),lowCache,"{'cached': 0.14, 'input': 0.7, 'output': 2.1, 'currency': 'CNY'}",14.6,69.264,0.0021085369,0.0242,0.0873,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,97.68→69.264亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.231/M；国内站月度1600M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.14/0.7/2.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:f4ecc0cb880e6a93,Step 3.5 Flash 2603 [AA estimate],16.9641,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_plus_cn::step-3.7-flash,Step Plan Plus (¥99),,subscription,step-3.7-flash,Step 3.7 Flash,,StepFun,,Step 3.7 Flash · Step Plan Plus (¥99),lowCache,"{'cached': 0.27, 'input': 1.35, 'output': 8.1, 'currency': 'CNY'}",14.6,34.353,0.0042513231,0.0496,0.0857,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,47.598→34.353亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.466/M；国内站月度1600M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.27/1.35/8.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,1,aa_intelligence_index:e8828ee245d130af,Step 3.7 Flash [AA estimate],19.4813,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_plus_cn::step-5-preview,Step Plan Plus (¥99),,subscription,step-5-preview,Step 5 Preview,,StepFun,,Step 5 Preview · Step Plan Plus (¥99),lowCache,"{'cached': 0.35, 'input': 7.0, 'output': 20.0, 'currency': 'CNY'}",14.6,11.327,0.012893591,0.0907,0.1422,high,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,新增11.327亿：国内站月度1600M Credit÷低缓存统一负载混合价¥1.413/M（conventions.lowCacheTokenMix 85%/14.5%/0.5%，2026-09-22裁定Step全系统一口径）。对照：本机实测79.0% mix混合价¥1.791/M，对应8.934亿（210.17M tokens大样本，OpenCode+DSH同窗）。Plus面板双向验证：控制台Credit消耗378.15M 与本机token×官方三段价期望376.41M 差+0.46%；378.15÷1600=23.63%≈面板剩余77%，官方1600M月池与1M Credit=¥1计费均成立。分数：AA index 44（维护者截图整数读数，疑为 v4.3 后新版 index）；TB4 33.3% 为 AA 独立实测（非自报）。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-21,official,,highest_archived_reference,1,aa_intelligence_index:fb0405a168316f85,Step 5 Preview,43.7343,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:e7fa06d82cc14898,Artificial Analysis - Step 5 Preview,33.3333,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5ebff85aa1280e1f,step-5-preview-high,1570,,False,,high,,1556.8,1583.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_pro_cn::step-3.5-flash,Step Plan Pro (¥199),,subscription,step-3.5-flash,Step 3.5 Flash,,StepFun,,Step 3.5 Flash · Step Plan Pro (¥199),lowCache,"{'cached': 0.14, 'input': 0.7, 'output': 2.1, 'currency': 'CNY'}",29.36,346.32,0.00084767444,0.0242,0.0351,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,488.4→346.32亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.231/M；国内站月度8000M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.14/0.7/2.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:f4ecc0cb880e6a93,Step 3.5 Flash 2603 [AA estimate],16.9641,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_pro_cn::step-3.7-flash,Step Plan Pro (¥199),,subscription,step-3.7-flash,Step 3.7 Flash,,StepFun,,Step 3.7 Flash · Step Plan Pro (¥199),lowCache,"{'cached': 0.27, 'input': 1.35, 'output': 8.1, 'currency': 'CNY'}",29.36,171.766,0.0017091078,0.0496,0.0345,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,237.989→171.766亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.466/M；国内站月度8000M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.27/1.35/8.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,1,aa_intelligence_index:e8828ee245d130af,Step 3.7 Flash [AA estimate],19.4813,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_pro_cn::step-5-preview,Step Plan Pro (¥199),,subscription,step-5-preview,Step 5 Preview,,StepFun,,Step 5 Preview · Step Plan Pro (¥199),lowCache,"{'cached': 0.35, 'input': 7.0, 'output': 20.0, 'currency': 'CNY'}",29.36,56.637,0.0051833009,0.0907,0.0572,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,新增56.637亿：国内站月度8000M Credit÷低缓存统一负载混合价¥1.413/M（conventions.lowCacheTokenMix 85%/14.5%/0.5%，2026-09-22裁定Step全系统一口径）。对照：本机实测79.0% mix混合价¥1.791/M，对应44.669亿（210.17M tokens大样本，OpenCode+DSH同窗）。借用Plus验证过的Credit计费口径，池额为官方表值、本档未面板验证。分数：AA index 44（维护者截图整数读数，疑为 v4.3 后新版 index）；TB4 33.3% 为 AA 独立实测（非自报）。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-21,official,,highest_archived_reference,1,aa_intelligence_index:fb0405a168316f85,Step 5 Preview,43.7343,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:e7fa06d82cc14898,Artificial Analysis - Step 5 Preview,33.3333,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5ebff85aa1280e1f,step-5-preview-high,1570,,False,,high,,1556.8,1583.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_max_cn::step-3.5-flash,Step Plan Max (¥699),,subscription,step-3.5-flash,Step 3.5 Flash,,StepFun,,Step 3.5 Flash · Step Plan Max (¥699),lowCache,"{'cached': 0.14, 'input': 0.7, 'output': 2.1, 'currency': 'CNY'}",103.12,1731.602,0.00059550126,0.0242,0.0246,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,2442→1731.6亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.231/M；国内站月度40000M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.14/0.7/2.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:f4ecc0cb880e6a93,Step 3.5 Flash 2603 [AA estimate],16.9641,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_max_cn::step-3.7-flash,Step Plan Max (¥699),,subscription,step-3.7-flash,Step 3.7 Flash,,StepFun,,Step 3.7 Flash · Step Plan Max (¥699),lowCache,"{'cached': 0.27, 'input': 1.35, 'output': 8.1, 'currency': 'CNY'}",103.12,858.83,0.0012006697,0.0496,0.0242,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,1189.94→858.83亿：Step实测负载打不到标准97% cache（2026-09-22裁定），改套低缓存统一负载（conventions.lowCacheTokenMix 85%/14.5%/0.5%）混合价¥0.466/M；国内站月度40000M Credit÷该价，1M Credit=¥1，cached/input/output=¥0.27/1.35/8.1。英文 $1≈7M 与人民币口径对 3.5 差 0%、对 3.7 因美元价四舍五入少 3.2%，采用中文精确口径。未采用旧 Coding Plan Prompt/5h 表；未加 Studio 40% 创作额度；step-3.5-flash-2603 与 3.5 同价不单列；step-router-v1 不画独立点。无面板 token+% 或打满实测，按官方绝对 Credit+价表+统一低缓存口径；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-10,official,,highest_archived_reference,1,aa_intelligence_index:e8828ee245d130af,Step 3.7 Flash [AA estimate],19.4813,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
stepfun_max_cn::step-5-preview,Step Plan Max (¥699),,subscription,step-5-preview,Step 5 Preview,,StepFun,,Step 5 Preview · Step Plan Max (¥699),lowCache,"{'cached': 0.35, 'input': 7.0, 'output': 20.0, 'currency': 'CNY'}",103.12,283.186,0.0036413211,0.0907,0.0402,medium,full,https://platform.stepfun.com/docs/zh/step-plan/overview 官方 Credit 月池 1M Credit=¥1；https://platform.stepfun.com/docs/zh/guides/pricing/details 人民币三段价；stepfun-step-plan-round1-2026-09-10.json；stepfun-step-plan-round3-2026-09-10.json；stepfun-step-plan-round4-2026-09-10.json；stepfun-step5-panel-round5-2026-09-21.json,新增283.186亿：国内站月度40000M Credit÷低缓存统一负载混合价¥1.413/M（conventions.lowCacheTokenMix 85%/14.5%/0.5%，2026-09-22裁定Step全系统一口径）。对照：本机实测79.0% mix混合价¥1.791/M，对应223.343亿（210.17M tokens大样本，OpenCode+DSH同窗）。借用Plus验证过的Credit计费口径，池额为官方表值、本档未面板验证。分数：AA index 44（维护者截图整数读数，疑为 v4.3 后新版 index）；TB4 33.3% 为 AA 独立实测（非自报）。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-09-21,official,,highest_archived_reference,1,aa_intelligence_index:fb0405a168316f85,Step 5 Preview,43.7343,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:e7fa06d82cc14898,Artificial Analysis - Step 5 Preview,33.3333,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:5ebff85aa1280e1f,step-5-preview-high,1570,,False,,high,,1556.8,1583.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_lite_day::mimo-v2.6-pro,MiMo Token Plan Lite 日间,MiMo Token Plan Lite (Day),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥39,MiMo V2.6 Pro · MiMo Token Plan Lite 日间,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",6.0,3.17,0.018927445,0.0187,1.0112,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增3.17亿：月池4.1B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 1.29亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Day) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_night::mimo-v2.6-pro,MiMo Token Plan Lite 夜间0.8×,MiMo Token Plan Lite (Night 0.8x),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥39,MiMo V2.6 Pro · MiMo Token Plan Lite 夜间0.8×,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",6.0,3.97,0.01511335,0.0187,0.8075,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增3.97亿：月池4.1B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 1.61亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Night 0.8x) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_day::mimo-v2.6-flash,MiMo Token Plan Lite 日间,MiMo Token Plan Lite (Day),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥39,MiMo V2.6 Flash · MiMo Token Plan Lite 日间,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",6.0,7.54,0.0079575597,0.0076,1.0448,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增7.54亿：月池4.1B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 3.51亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Day) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_night::mimo-v2.6-flash,MiMo Token Plan Lite 夜间0.8×,MiMo Token Plan Lite (Night 0.8x),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥39,MiMo V2.6 Flash · MiMo Token Plan Lite 夜间0.8×,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",6.0,9.42,0.0063694268,0.0076,0.8363,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增9.42亿：月池4.1B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 4.39亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Night 0.8x) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_day::mimo-v2.5-pro,MiMo Token Plan Lite 日间,MiMo Token Plan Lite (Day),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥39,MiMo V2.5 Pro · MiMo Token Plan Lite 日间,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",6.0,3.17,0.018927445,0.234,0.0809,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增3.17亿：月池4.1B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 1.29亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Day) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_night::mimo-v2.5-pro,MiMo Token Plan Lite 夜间0.8×,MiMo Token Plan Lite (Night 0.8x),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥39,MiMo V2.5 Pro · MiMo Token Plan Lite 夜间0.8×,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",6.0,3.97,0.01511335,0.234,0.0646,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增3.97亿：月池4.1B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 1.61亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Night 0.8x) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_lite_day::mimo-v2.5,MiMo Token Plan Lite 日间,MiMo Token Plan Lite (Day),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥39,MiMo V2.5 · MiMo Token Plan Lite 日间,standard,,6.0,7.54,0.0079575597,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增7.54亿：月池4.1B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 3.51亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Day) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_lite_night::mimo-v2.5,MiMo Token Plan Lite 夜间0.8×,MiMo Token Plan Lite (Night 0.8x),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥39,MiMo V2.5 · MiMo Token Plan Lite 夜间0.8×,standard,,6.0,9.42,0.0063694268,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增9.42亿：月池4.1B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 4.39亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Lite (Night 0.8x) $6 标价（旧按国内 ¥39÷6.7787≈$5.75），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_standard_day::mimo-v2.6-pro,MiMo Token Plan Standard 日间,MiMo Token Plan Standard (Day),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥99,MiMo V2.6 Pro · MiMo Token Plan Standard 日间,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",16.0,8.51,0.01880141,0.0187,1.0045,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增8.51亿：月池11B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 3.46亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Day) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_night::mimo-v2.6-pro,MiMo Token Plan Standard 夜间0.8×,MiMo Token Plan Standard (Night 0.8x),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥99,MiMo V2.6 Pro · MiMo Token Plan Standard 夜间0.8×,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",16.0,10.64,0.015037594,0.0187,0.8034,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增10.64亿：月池11B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 4.32亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Night 0.8x) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_day::mimo-v2.6-flash,MiMo Token Plan Standard 日间,MiMo Token Plan Standard (Day),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥99,MiMo V2.6 Flash · MiMo Token Plan Standard 日间,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",16.0,20.22,0.0079129575,0.0076,1.039,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增20.22亿：月池11B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 9.41亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Day) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_night::mimo-v2.6-flash,MiMo Token Plan Standard 夜间0.8×,MiMo Token Plan Standard (Night 0.8x),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥99,MiMo V2.6 Flash · MiMo Token Plan Standard 夜间0.8×,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",16.0,25.28,0.0063291139,0.0076,0.831,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增25.28亿：月池11B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 11.77亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Night 0.8x) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_day::mimo-v2.5-pro,MiMo Token Plan Standard 日间,MiMo Token Plan Standard (Day),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥99,MiMo V2.5 Pro · MiMo Token Plan Standard 日间,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",16.0,8.51,0.01880141,0.234,0.0803,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增8.51亿：月池11B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 3.46亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Day) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_night::mimo-v2.5-pro,MiMo Token Plan Standard 夜间0.8×,MiMo Token Plan Standard (Night 0.8x),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥99,MiMo V2.5 Pro · MiMo Token Plan Standard 夜间0.8×,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",16.0,10.64,0.015037594,0.234,0.0643,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增10.64亿：月池11B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 4.32亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Night 0.8x) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_standard_day::mimo-v2.5,MiMo Token Plan Standard 日间,MiMo Token Plan Standard (Day),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥99,MiMo V2.5 · MiMo Token Plan Standard 日间,standard,,16.0,20.22,0.0079129575,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增20.22亿：月池11B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 9.41亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Day) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_standard_night::mimo-v2.5,MiMo Token Plan Standard 夜间0.8×,MiMo Token Plan Standard (Night 0.8x),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥99,MiMo V2.5 · MiMo Token Plan Standard 夜间0.8×,standard,,16.0,25.28,0.0063291139,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增25.28亿：月池11B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 11.77亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Standard (Night 0.8x) $16 标价（旧按国内 ¥99÷6.7787≈$14.60），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_pro_day::mimo-v2.6-pro,MiMo Token Plan Pro 日间,MiMo Token Plan Pro (Day),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥329,MiMo V2.6 Pro · MiMo Token Plan Pro 日间,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",50.0,29.4,0.017006803,0.0187,0.9086,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增29.4亿：月池38B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 11.94亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Day) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_night::mimo-v2.6-pro,MiMo Token Plan Pro 夜间0.8×,MiMo Token Plan Pro (Night 0.8x),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥329,MiMo V2.6 Pro · MiMo Token Plan Pro 夜间0.8×,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",50.0,36.75,0.013605442,0.0187,0.7269,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增36.75亿：月池38B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 14.92亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Night 0.8x) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_day::mimo-v2.6-flash,MiMo Token Plan Pro 日间,MiMo Token Plan Pro (Day),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥329,MiMo V2.6 Flash · MiMo Token Plan Pro 日间,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",50.0,69.85,0.0071581961,0.0076,0.9399,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增69.85亿：月池38B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 32.52亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Day) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_night::mimo-v2.6-flash,MiMo Token Plan Pro 夜间0.8×,MiMo Token Plan Pro (Night 0.8x),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥329,MiMo V2.6 Flash · MiMo Token Plan Pro 夜间0.8×,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",50.0,87.32,0.005726065,0.0076,0.7518,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增87.32亿：月池38B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 40.65亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Night 0.8x) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_day::mimo-v2.5-pro,MiMo Token Plan Pro 日间,MiMo Token Plan Pro (Day),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥329,MiMo V2.5 Pro · MiMo Token Plan Pro 日间,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",50.0,29.4,0.017006803,0.234,0.0727,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增29.4亿：月池38B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 11.94亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Day) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_night::mimo-v2.5-pro,MiMo Token Plan Pro 夜间0.8×,MiMo Token Plan Pro (Night 0.8x),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥329,MiMo V2.5 Pro · MiMo Token Plan Pro 夜间0.8×,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",50.0,36.75,0.013605442,0.234,0.0581,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增36.75亿：月池38B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 14.92亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Night 0.8x) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_pro_day::mimo-v2.5,MiMo Token Plan Pro 日间,MiMo Token Plan Pro (Day),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥329,MiMo V2.5 · MiMo Token Plan Pro 日间,standard,,50.0,69.85,0.0071581961,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增69.85亿：月池38B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 32.52亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Day) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_pro_night::mimo-v2.5,MiMo Token Plan Pro 夜间0.8×,MiMo Token Plan Pro (Night 0.8x),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥329,MiMo V2.5 · MiMo Token Plan Pro 夜间0.8×,standard,,50.0,87.32,0.005726065,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增87.32亿：月池38B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 40.65亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Pro (Night 0.8x) $50 标价（旧按国内 ¥329÷6.7787≈$48.53），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_max_day::mimo-v2.6-pro,MiMo Token Plan Max 日间,MiMo Token Plan Max (Day),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥659,MiMo V2.6 Pro · MiMo Token Plan Max 日间,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",100.0,63.44,0.015762926,0.0187,0.8422,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增63.44亿：月池82B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 25.76亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Day) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_night::mimo-v2.6-pro,MiMo Token Plan Max 夜间0.8×,MiMo Token Plan Max (Night 0.8x),subscription,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,¥659,MiMo V2.6 Pro · MiMo Token Plan Max 夜间0.8×,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",100.0,79.3,0.01261034,0.0187,0.6737,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增79.3亿：月池82B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 32.2亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Night 0.8x) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_day::mimo-v2.6-flash,MiMo Token Plan Max 日间,MiMo Token Plan Max (Day),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥659,MiMo V2.6 Flash · MiMo Token Plan Max 日间,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",100.0,150.74,0.0066339392,0.0076,0.8711,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增150.74亿：月池82B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 70.18亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Day) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_night::mimo-v2.6-flash,MiMo Token Plan Max 夜间0.8×,MiMo Token Plan Max (Night 0.8x),subscription,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,¥659,MiMo V2.6 Flash · MiMo Token Plan Max 夜间0.8×,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",100.0,188.42,0.0053072922,0.0076,0.6969,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增188.42亿：月池82B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 87.72亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Night 0.8x) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_day::mimo-v2.5-pro,MiMo Token Plan Max 日间,MiMo Token Plan Max (Day),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥659,MiMo V2.5 Pro · MiMo Token Plan Max 日间,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",100.0,63.44,0.015762926,0.234,0.0674,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增63.44亿：月池82B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 25.76亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Day) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_night::mimo-v2.5-pro,MiMo Token Plan Max 夜间0.8×,MiMo Token Plan Max (Night 0.8x),subscription,mimo-v2.5-pro,MiMo V2.5 Pro,,Xiaomi,¥659,MiMo V2.5 Pro · MiMo Token Plan Max 夜间0.8×,standard,"{'cached': 0.2, 'input': 1.0, 'output': 3.0, 'currency': 'USD'}",100.0,79.3,0.01261034,0.234,0.0539,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增79.3亿：月池82B Credits÷统一标准负载混合burn 12.925 credits/token（该模型 cached/input/output=2.5/300/600 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 32.2亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Night 0.8x) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:c0536a98a4f2e51d,MiMo-V2.5-Pro,25.9869,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:bfe134e562d0cd53,Artificial Analysis - MiMo-V2.5-Pro,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:9e023543b5154b09,mimo-v2.5-pro,1477,,False,,,,1471.6,1482.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c6879efca1b5dffc,Mimo V2.5 Pro,-7.23,,False,,,,-8.14,-6.32,,0.04,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:8fa241178a2088a2,mini-swe-agent - mimo-v2-5-pro [vendor self-report],19.0,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_token_max_day::mimo-v2.5,MiMo Token Plan Max 日间,MiMo Token Plan Max (Day),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥659,MiMo V2.5 · MiMo Token Plan Max 日间,standard,,100.0,150.74,0.0066339392,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增150.74亿：月池82B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；日间基准消耗档；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 70.18亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Day) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
mimo_token_max_night::mimo-v2.5,MiMo Token Plan Max 夜间0.8×,MiMo Token Plan Max (Night 0.8x),subscription,mimo-v2.5,MiMo V2.5,,Xiaomi,¥659,MiMo V2.5 · MiMo Token Plan Max 夜间0.8×,standard,,100.0,188.42,0.0053072922,,,medium,main,https://mimo.mi.com/docs Token Plan 官方档位/Credits池/burn率/夜间0.8×/首购88折；mimo-token-plan-round1-2026-09-22.json,新增188.42亿：月池82B Credits÷统一标准负载混合burn 5.44 credits/token（该模型 cached/input/output=2/100/200 credits/token）；夜间00:00-08:00（北京）consumption×0.8，同credits多换25% token；套餐覆盖 v2.6-pro/v2.6-flash/v2.5-pro/v2.5 共4款文本模型（2026-09-22文档更新+维护者面板互证）；耗尽即停不透支；同套餐各模型额度不可相加（共享 Credits 池按单模型打满）；面板互证：2026-09-22 单日按官方 burn 率应扣 23.47 亿 vs 面板实扣 21.91 亿（−6.6%，夜间0.8×与时区归属解释），burn 率获面板级互证；对照：OpenCode harness 单日实测 mix（cache读92.04%/输入6.08%/输出1.88%）下为 87.72亿，不采用——2026-09-23 裁定低缓存系 OpenCode harness 所致，另一客户端两题 35.72M tok 实测 cache 95.0%，按标准负载；证据 mimo-token-plan-panel-round2-2026-09-23.json、mimo-client-sample-round3-2026-09-23.json；同名档国内外并为一点：月费与单价统一按国际版 MiMo Token Plan Max (Night 0.8x) $100 标价（旧按国内 ¥659÷6.7787≈$97.22），price/currency 仍记国内实付价；额度仍国内档口径，海外同名档绝对 token 未实测，并点仅作价位展示,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:4f0191d02e894561,MiMo-V2.5 [AA estimate],25.1743,True,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:5a02fb72c74be509,Artificial Analysis - MiMo-V2.5,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:101c12e441513d87,mimo-v2.5,1438,,False,,,,1432.0,1444.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_go_cn::minimax-m3.1-flash-preview,MiniMax M Plan Go (CN),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Go (CN),measured,,7.23,15.98,0.0045234823,,,medium,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。月付常规价¥49，由年付实价÷10及官方FAQ还原，不含首月促销。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,sample,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_go_cn_annual::minimax-m3.1-flash-preview,MiniMax M Plan Go (CN Annual),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Go (CN Annual),measured,,6.02,15.98,0.0037695685,,,low,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。年付¥490，月比较费=年费/12；需整年预付，不是按月售价。假设同档年付与月付周池相同，不是一次发放全年token。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,derived,MiniMax M Plan Go (CN) · minimax-m3.1-flash-preview,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_explore_cn::minimax-m3.1-flash-preview,MiniMax M Plan Explore (CN),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Explore (CN),measured,,17.55,47.941,0.0036617902,,,low,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。本档为Go×3外推，假设官网倍率适用于周池，非本档独立实测。月付常规价¥119，由年付实价÷10及官方FAQ还原，不含首月促销。截图年付划线价¥1490与119×12=1428不符；保留冲突，不用划线价倒推月付。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,derived,MiniMax M Plan Go (CN) · minimax-m3.1-flash-preview,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_explore_cn_annual::minimax-m3.1-flash-preview,MiniMax M Plan Explore (CN Annual),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Explore (CN Annual),measured,,14.63,47.941,0.0030514918,,,low,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。本档为Go×3外推，假设官网倍率适用于周池，非本档独立实测。年付¥1190，月比较费=年费/12；需整年预付，不是按月售价。假设同档年付与月付周池相同，不是一次发放全年token。截图年付划线价¥1490与119×12=1428不符；保留冲突，不用划线价倒推月付。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,derived,MiniMax M Plan Go (CN) · minimax-m3.1-flash-preview,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_build_cn::minimax-m3.1-flash-preview,MiniMax M Plan Build (CN),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Build (CN),measured,,69.19,191.764,0.0036079403,,,low,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。本档为Go×12外推，假设官网倍率适用于周池，非本档独立实测。月付常规价¥469，由年付实价÷10及官方FAQ还原，不含首月促销。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,derived,MiniMax M Plan Go (CN) · minimax-m3.1-flash-preview,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_m_plan_build_cn_annual::minimax-m3.1-flash-preview,MiniMax M Plan Build (CN Annual),,subscription,minimax-m3.1-flash-preview,MiniMax M3.1 Flash Preview,,MiniMax,,MiniMax M3.1 Flash Preview · MiniMax M Plan Build (CN Annual),measured,,57.66,191.764,0.003006617,,,low,full,https://platform.minimax.cn/docs/m-plan/faq；https://platform.minimax.cn/docs/m-plan/intro；minimax-m31-flash-preview-cn-round1-2026-10-01.json；维护者截图及2026-10-01确认Go,"未折算、暂估：缺M3.1独立公开计价比例，不借用M3价格；有分项样本的临时raw例外，2026-10-01 裁定接受（MiniMax 官方未公布 M3.1 价格，暂不折算）。Go小时累计23,970,451 tok对应周已用4%→10%，5h已用41%→100%；并非0%→100%完整5h窗口。12:00至12:01起点累计未截图，全段以起始小时计数为0、期间无其他共享池消耗为假设，两项未单独确认。周整数显示取整敏感性约13.6974~19.1764亿/月(4周)，不是统计置信区间；中末差分12,201,679 tok/3pp对应16.2689亿/月，仅作对照。全口径cache/input/output约95.1823%/3.4854%/1.3323%，页面96.5%是输入缓存命中率，不等同标准负载缓存占比。按相同负载与饱和使用比较，不是官方固定token额度。本档为Go×12外推，假设官网倍率适用于周池，非本档独立实测。年付¥4690，月比较费=年费/12；需整年预付，不是按月售价。假设同档年付与月付周池相同，不是一次发放全年token。；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html",False,,2026-10-01,derived,MiniMax M Plan Go (CN) · minimax-m3.1-flash-preview,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
chatgpt_plus::gpt-5.6-terra,ChatGPT Plus,,subscription,gpt-5.6-terra,GPT 5.6 Terra,,OpenAI,,GPT 5.6 Terra · ChatGPT Plus,measured,"{'cached': 0.2, 'input': 2.0, 'output': 12.0, 'currency': 'USD'}",20.0,11.915,0.016785564,0.304,0.0552,medium,full,由同套餐 gpt-5.6-sol 6.16 亿 × 1.9342105263157894,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(5, 50, 300)；旧倍率2、旧月额度12.32亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-07-30,derived,ChatGPT Plus · gpt-5.6-sol,highest_archived_reference,6,aa_intelligence_index:caaac19d5e8e542f,GPT-5.6 Terra (max),42.0829,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:57a5da2cde308af0,Codex - GPT-5.6 Terra (max),21.52,,False,Codex,max,,18.27,24.77,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:4ce13a3cd68939ad,Artificial Analysis - GPT-5.6 Terra (max),35.3535,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c67b556fb4592ef2,gpt-5.6-terra-xhigh (codex-harness),1519,,False,Codex,xhigh,,1512.4,1525.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:96e32efd63046574,GPT 5.6 Terra (xHigh),0.83,,False,,xhigh,,-0.42000000000000004,2.08,,0.43,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:1e9b21c2004faec1,mini-swe-agent - gpt-5-6-terra (max),69.62305986696231,,False,mini-swe-agent,max,,67.06612091651647,72.17999881740815,4.945847263858093,4.114557,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_plus::gpt-5.5,ChatGPT Plus,,subscription,gpt-5.5,GPT 5.5,,OpenAI,,GPT 5.5 · ChatGPT Plus,measured,"{'cached': 0.5, 'input': 5.0, 'output': 30.0, 'currency': 'USD'}",20.0,4.766,0.041963911,0.76,0.0552,medium,main,由同套餐 gpt-5.6-sol 6.16 亿 × 0.7736842105263158,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(12.5, 125, 750)；旧倍率0.8、旧月额度4.928亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-07-30,derived,ChatGPT Plus · gpt-5.6-sol,highest_archived_reference,5,aa_intelligence_index:c4bfcb80a46cebef,GPT-5.5 (xhigh),38.3556,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:b426d7104b617616,Artificial Analysis - GPT-5.5 (xhigh),14.6465,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:8bba805c5e778260,gpt-5.5-xhigh (codex-harness),1512,,False,Codex,xhigh,,1506.1,1517.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:605f40536c85bbb4,GPT 5.5 (xHigh),4.12,,False,,xhigh,,3.0700000000000003,5.17,,1.22,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:6d1742654e70dc7d,mini-swe-agent - gpt-5-5 (xhigh),67.03539823008849,,False,mini-swe-agent,xhigh,,60.569751889179635,73.50104457099735,7.226236674778761,6.110482499999999,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_5x::gpt-5.6-terra,ChatGPT Pro 5x,,subscription,gpt-5.6-terra,GPT 5.6 Terra,,OpenAI,,GPT 5.6 Terra · ChatGPT Pro 5x,measured,"{'cached': 0.2, 'input': 2.0, 'output': 12.0, 'currency': 'USD'}",100.0,59.574,0.016785846,0.304,0.0552,medium,full,由同套餐 gpt-5.6-sol 30.8 亿 × 1.9342105263157894,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(5, 50, 300)；旧倍率2、旧月额度61.6亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-07-30,derived,ChatGPT Plus · gpt-5.6-sol,highest_archived_reference,6,aa_intelligence_index:caaac19d5e8e542f,GPT-5.6 Terra (max),42.0829,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:57a5da2cde308af0,Codex - GPT-5.6 Terra (max),21.52,,False,Codex,max,,18.27,24.77,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:4ce13a3cd68939ad,Artificial Analysis - GPT-5.6 Terra (max),35.3535,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c67b556fb4592ef2,gpt-5.6-terra-xhigh (codex-harness),1519,,False,Codex,xhigh,,1512.4,1525.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:96e32efd63046574,GPT 5.6 Terra (xHigh),0.83,,False,,xhigh,,-0.42000000000000004,2.08,,0.43,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:1e9b21c2004faec1,mini-swe-agent - gpt-5-6-terra (max),69.62305986696231,,False,mini-swe-agent,max,,67.06612091651647,72.17999881740815,4.945847263858093,4.114557,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_5x::gpt-5.5,ChatGPT Pro 5x,,subscription,gpt-5.5,GPT 5.5,,OpenAI,,GPT 5.5 · ChatGPT Pro 5x,measured,"{'cached': 0.5, 'input': 5.0, 'output': 30.0, 'currency': 'USD'}",100.0,23.829,0.041965672,0.76,0.0552,medium,full,由同套餐 gpt-5.6-sol 30.8 亿 × 0.7736842105263158,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(12.5, 125, 750)；旧倍率0.8、旧月额度24.64亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-07-30,derived,ChatGPT Plus · gpt-5.6-sol,highest_archived_reference,5,aa_intelligence_index:c4bfcb80a46cebef,GPT-5.5 (xhigh),38.3556,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:b426d7104b617616,Artificial Analysis - GPT-5.5 (xhigh),14.6465,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:8bba805c5e778260,gpt-5.5-xhigh (codex-harness),1512,,False,Codex,xhigh,,1506.1,1517.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:605f40536c85bbb4,GPT 5.5 (xHigh),4.12,,False,,xhigh,,3.0700000000000003,5.17,,1.22,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:6d1742654e70dc7d,mini-swe-agent - gpt-5-5 (xhigh),67.03539823008849,,False,mini-swe-agent,xhigh,,60.569751889179635,73.50104457099735,7.226236674778761,6.110482499999999,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_20x::gpt-5.6-terra,ChatGPT Pro 20x,,subscription,gpt-5.6-terra,GPT 5.6 Terra,,OpenAI,,GPT 5.6 Terra · ChatGPT Pro 20x,measured,"{'cached': 0.2, 'input': 2.0, 'output': 12.0, 'currency': 'USD'}",200.0,249.552,0.0080143617,0.304,0.0264,medium,full,由同套餐 gpt-5.6-sol 129.02 亿 × 1.9342105263157894,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(5, 50, 300)；旧倍率2、旧月额度258.04亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-06-10~2026-09-06,derived,ChatGPT Pro 20x · gpt-5.6-sol,highest_archived_reference,6,aa_intelligence_index:caaac19d5e8e542f,GPT-5.6 Terra (max),42.0829,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:57a5da2cde308af0,Codex - GPT-5.6 Terra (max),21.52,,False,Codex,max,,18.27,24.77,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:4ce13a3cd68939ad,Artificial Analysis - GPT-5.6 Terra (max),35.3535,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c67b556fb4592ef2,gpt-5.6-terra-xhigh (codex-harness),1519,,False,Codex,xhigh,,1512.4,1525.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:96e32efd63046574,GPT 5.6 Terra (xHigh),0.83,,False,,xhigh,,-0.42000000000000004,2.08,,0.43,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:1e9b21c2004faec1,mini-swe-agent - gpt-5-6-terra (max),69.62305986696231,,False,mini-swe-agent,max,,67.06612091651647,72.17999881740815,4.945847263858093,4.114557,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
chatgpt_pro_20x::gpt-5.5,ChatGPT Pro 20x,,subscription,gpt-5.5,GPT 5.5,,OpenAI,,GPT 5.5 · ChatGPT Pro 20x,measured,"{'cached': 0.5, 'input': 5.0, 'output': 30.0, 'currency': 'USD'}",200.0,99.821,0.020035864,0.76,0.0264,medium,main,由同套餐 gpt-5.6-sol 129.02 亿 × 0.7736842105263158,"https://learn.chatgpt.com/docs/pricing 三段credits（cache/input/output）Sol=10/100/500，对比(12.5, 125, 750)；旧倍率0.8、旧月额度103.216亿作废；保留Sol基准，按项目统一标准负载重算；见audit-round4-2026-09-05.json",False,,2026-06-10~2026-09-06,derived,ChatGPT Pro 20x · gpt-5.6-sol,highest_archived_reference,5,aa_intelligence_index:c4bfcb80a46cebef,GPT-5.5 (xhigh),38.3556,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:b426d7104b617616,Artificial Analysis - GPT-5.5 (xhigh),14.6465,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:8bba805c5e778260,gpt-5.5-xhigh (codex-harness),1512,,False,Codex,xhigh,,1506.1,1517.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:605f40536c85bbb4,GPT 5.5 (xHigh),4.12,,False,,xhigh,,3.0700000000000003,5.17,,1.22,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:6d1742654e70dc7d,mini-swe-agent - gpt-5-5 (xhigh),67.03539823008849,,False,mini-swe-agent,xhigh,,60.569751889179635,73.50104457099735,7.226236674778761,6.110482499999999,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_pro::claude-sonnet-5,Claude Pro,,subscription,claude-sonnet-5,Claude Sonnet 5,,Anthropic,,Claude Sonnet 5 · Claude Pro,anthropic,"{'cached': 0.2, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",20.0,64.725,0.0030899961,0.294,0.0105,medium,main,由同套餐 claude-opus-5 25.89 亿 × 2.5,69.05→64.725亿：基准随 Opus5 折算 27.62→25.89 ×标价比2.5，非Sonnet实测（更早链 39.7→46.95→69.05 为 raw 口径）；community-issues-round1-2026-09-29.json；workload-conversion-round1-2026-09-30.json,False,,2026-09-14~2026-09-22,derived,Claude Pro · claude-opus-5,highest_archived_reference,6,aa_intelligence_index:00e5e17098f2a9cc,Claude Sonnet 5 (max),38.1639,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:5718a86e9278cdf2,Claude Code - Sonnet 5 (max),12.42,,False,Claude Code,max,,9.36,15.48,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:8a2bf906a5cca32e,Artificial Analysis - Claude Sonnet 5 (max),14.1414,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c91ce134bd5ec2e3,claude-sonnet-5-high,1540,,False,,high,,1533.8,1546.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5729b5a20a335dfc,Claude Sonnet 5 (High),4.81,,False,,high,,3.09,6.529999999999999,,0.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:17f1ccadd79e3f73,mini-swe-agent - claude-sonnet-5 (max),53.84615384615385,,False,mini-swe-agent,max,,49.60923737597946,58.08307031632823,26.399858950791852,23.277376725000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_pro::claude-opus-4.8,Claude Pro,,subscription,claude-opus-4.8,Claude Opus 4.8,,Anthropic,,Claude Opus 4.8 · Claude Pro,anthropic,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",20.0,25.89,0.0077249903,0.735,0.0105,low,full,由同套餐 claude-opus-5 25.89 亿 × 1.0,与Opus5同价同池，27.62→25.89亿随 Opus5 折算基准派生（更早18.78为round8面板、27.62为#53 raw）；历史实测15.88亿留作round5前证据不覆盖；community-issues-round1-2026-09-29.json、claude-adoption-round8-2026-09-20.json；workload-conversion-round1-2026-09-30.json,False,,2026-09-14~2026-09-22,derived,Claude Pro · claude-opus-5,highest_archived_reference,1,aa_intelligence_index:8ba60e513dcc3861,Claude Opus 4.8 (max),41.7899,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:4b4e1e5e2f86b9f3,Claude Code - Opus 4.8 (max),23.64,,False,Claude Code,max,,20.080000000000002,27.2,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6569cb5d8342ed58,Artificial Analysis - Claude Opus 4.8 (max),21.7172,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:fae8bb30a0d7476b,claude-opus-4-8-high,1556,,False,,high,,1550.3,1561.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:263865305f7ecdb7,Claude Opus 4.8 (High),6.92,,False,,high,,5.54,8.3,,1.36,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:03fa5cc9c1b4bc14,mini-swe-agent - claude-opus-4-8 (max),58.97435897435898,,False,mini-swe-agent,max,,57.20954362692973,60.73917432178823,13.222583593240094,12.353505999999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_20x::claude-sonnet-5,Claude Max 20x (9/14+),,subscription,claude-sonnet-5,Claude Sonnet 5,,Anthropic,,Claude Sonnet 5 · Claude Max 20x (9/14+),measured,"{'cached': 0.2, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",200.0,392.5,0.0050955414,0.294,0.0173,medium,main,由同套餐 claude-opus-5 157 亿 × 2.5,旧200亿→392.5亿，low→medium；157×Opus/Sonnet标价比2.5，9/14永久口径派生，非Sonnet实测；claude-adoption-round6-2026-09-06.json,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,6,aa_intelligence_index:00e5e17098f2a9cc,Claude Sonnet 5 (max),38.1639,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:5718a86e9278cdf2,Claude Code - Sonnet 5 (max),12.42,,False,Claude Code,max,,9.36,15.48,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:8a2bf906a5cca32e,Artificial Analysis - Claude Sonnet 5 (max),14.1414,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c91ce134bd5ec2e3,claude-sonnet-5-high,1540,,False,,high,,1533.8,1546.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5729b5a20a335dfc,Claude Sonnet 5 (High),4.81,,False,,high,,3.09,6.529999999999999,,0.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:17f1ccadd79e3f73,mini-swe-agent - claude-sonnet-5 (max),53.84615384615385,,False,mini-swe-agent,max,,49.60923737597946,58.08307031632823,26.399858950791852,23.277376725000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_20x::claude-opus-4.8,Claude Max 20x (9/14+),,subscription,claude-opus-4.8,Claude Opus 4.8,,Anthropic,,Claude Opus 4.8 · Claude Max 20x (9/14+),measured,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",200.0,157.0,0.012738854,0.735,0.0173,low,full,由同套餐 claude-opus-5 157 亿 × 1.0,旧80亿→157亿；与Opus5同价，9/14永久基准派生；claude-adoption-round6-2026-09-06.json,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,1,aa_intelligence_index:8ba60e513dcc3861,Claude Opus 4.8 (max),41.7899,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:4b4e1e5e2f86b9f3,Claude Code - Opus 4.8 (max),23.64,,False,Claude Code,max,,20.080000000000002,27.2,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6569cb5d8342ed58,Artificial Analysis - Claude Opus 4.8 (max),21.7172,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:fae8bb30a0d7476b,claude-opus-4-8-high,1556,,False,,high,,1550.3,1561.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:263865305f7ecdb7,Claude Opus 4.8 (High),6.92,,False,,high,,5.54,8.3,,1.36,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:03fa5cc9c1b4bc14,mini-swe-agent - claude-opus-4-8 (max),58.97435897435898,,False,mini-swe-agent,max,,57.20954362692973,60.73917432178823,13.222583593240094,12.353505999999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_20x::claude-fable-5,Claude Max 20x (9/14+),,subscription,claude-fable-5,Claude Fable 5,,Anthropic,,Claude Fable 5 · Claude Max 20x (9/14+),measured,"{'cached': 1.0, 'input': 10.0, 'output': 50.0, 'currency': 'USD'}",200.0,12.077,0.16560404,1.47,0.1127,low,main,由同套餐 claude-opus-5 157 亿 × 0.07692307692307693,旧6.152亿→12.077亿；157×0.5/6.5，不再预舍入倍率；订阅内6.5×权重且限周额度50%，9/14永久口径派生；claude-adoption-round6-2026-09-06.json,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,1,aa_intelligence_index:9b5f20f46c907550,Claude Fable 5 (with fallback),49.6258,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:eb2874e55b9e0003,Claude Code - Fable 5 (max),44.55,,False,Claude Code,max,,40.699999999999996,48.4,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6fd65552e1fc1e0a,Artificial Analysis - Claude Fable 5 (with fallback),42.4242,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:72ebbd507122c58e,claude-fable-5-high,1626,,False,,high,,1619.6,1632.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3d3ae04ef0c99602,Claude Fable 5 (High),8.37,,False,,high,,7.069999999999999,9.67,,2.02,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:60791be82ce959e0,mini-swe-agent - claude-fable-5 (xhigh),69.91150442477876,,False,mini-swe-agent,xhigh,,66.66658684930744,73.15642200025007,13.414521495535714,11.341082999999998,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_5x::claude-sonnet-5,Claude Max 5x (9/14+),,subscription,claude-sonnet-5,Claude Sonnet 5,,Anthropic,,Claude Sonnet 5 · Claude Max 5x (9/14+),measured,"{'cached': 0.2, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",100.0,196.25,0.0050955414,0.294,0.0173,low,full,由同套餐 claude-opus-5 78.5 亿 × 2.5,旧89亿→196.25亿；78.5×标价比2.5，9/14永久口径派生；claude-adoption-round6-2026-09-06.json,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,6,aa_intelligence_index:00e5e17098f2a9cc,Claude Sonnet 5 (max),38.1639,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:5718a86e9278cdf2,Claude Code - Sonnet 5 (max),12.42,,False,Claude Code,max,,9.36,15.48,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:8a2bf906a5cca32e,Artificial Analysis - Claude Sonnet 5 (max),14.1414,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c91ce134bd5ec2e3,claude-sonnet-5-high,1540,,False,,high,,1533.8,1546.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5729b5a20a335dfc,Claude Sonnet 5 (High),4.81,,False,,high,,3.09,6.529999999999999,,0.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:17f1ccadd79e3f73,mini-swe-agent - claude-sonnet-5 (max),53.84615384615385,,False,mini-swe-agent,max,,49.60923737597946,58.08307031632823,26.399858950791852,23.277376725000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_5x::claude-fable-5,Claude Max 5x (9/14+),,subscription,claude-fable-5,Claude Fable 5,,Anthropic,,Claude Fable 5 · Claude Max 5x (9/14+),measured,"{'cached': 1.0, 'input': 10.0, 'output': 50.0, 'currency': 'USD'}",100.0,9.235,0.1082837,1.47,0.0737,low,full,由同套餐 claude-opus-5 78.5 亿 × 0.11764705882352941,维持9.235亿：x5档唯一实测权重4.25×（Reddit 1vx0k69，原帖自标typed meter偏软）；注意与确认2×池比矛盾——若20x=12.077亿成立则5x按池比应约6.04亿，但那需要无实测的统一权重假设，裁定按实测数据来；claude-adoption-round7-2026-09-14.json,False,,2026-08,derived,Claude Max 20x (9/14+) · claude-opus-5,highest_archived_reference,1,aa_intelligence_index:9b5f20f46c907550,Claude Fable 5 (with fallback),49.6258,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:eb2874e55b9e0003,Claude Code - Fable 5 (max),44.55,,False,Claude Code,max,,40.699999999999996,48.4,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6fd65552e1fc1e0a,Artificial Analysis - Claude Fable 5 (with fallback),42.4242,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:72ebbd507122c58e,claude-fable-5-high,1626,,False,,high,,1619.6,1632.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3d3ae04ef0c99602,Claude Fable 5 (High),8.37,,False,,high,,7.069999999999999,9.67,,2.02,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:60791be82ce959e0,mini-swe-agent - claude-fable-5 (xhigh),69.91150442477876,,False,mini-swe-agent,xhigh,,66.66658684930744,73.15642200025007,13.414521495535714,11.341082999999998,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
claude_max_5x::claude-fable-5.1,Claude Max 5x (9/14+),,subscription,claude-fable-5.1,Claude Fable 5.1,,Anthropic,,Claude Fable 5.1 · Claude Max 5x (9/14+),measured,,100.0,8.639,0.11575414,,,low,full,由同套餐 claude-opus-5 78.5 亿 × 0.11005486793415847,15.03→8.63931亿：78.5×0.5/4.54——借20x同框样本隐含权重派生（round9 时间线校正后权重2.61→4.54），非独立实测；单权重跨档沿用仍属假设（Fable5 两档不同为前车之鉴）；claude-fable51-round3/round9,False,,2026-08~2026-09-05,derived,Claude Max 20x (9/14+) · claude-opus-5、claude-fable-5.1,highest_archived_reference,5,aa_intelligence_index:71823637d973a0fc,Claude Fable 5.1 (max with fallback),53.3549,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:136537b36ce98c25,Claude Code - Fable 5.1 (max),57.88,,False,Claude Code,max,,54.120000000000005,61.64,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:41e12ce515ec9121,Artificial Analysis - Claude Fable 5.1 (xhigh with fallback),55.0505,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8e70472a84bf71d1,claude-fable-5.1-max,1751,,False,,max,,1741.3,1760.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:d1cdd70383ae2039,Claude Fable 5.1 (Max),14.55,,False,,max,,12.63,16.47,,4.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:f882189259104e87,Claude Code - Fable 5.1 (max) (with fallback),62.2225,,False,Claude Code,max,,,,12.3881,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:0ed675e0b61ae3ac,Claude Fable 5.1,80.3,,False,OpenDesign,,,,,3.660199,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
claude_pro::claude-sonnet-5.5,Claude Pro,,subscription,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 · Claude Pro,anthropic,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",20.0,61.08,0.0032743942,0.197,0.0166,low,main,由同套餐 claude-opus-5.5 30.54 亿 × 2.0,新增61.08亿：Pro Opus5.5 实测锚 30.54亿 × 混合价比 2（Sonnet5.5 降价后 $0.2095 vs Opus5.5 $0.419）；发布价 $0.3065 口径 41.75亿 留对照；X @1kartikkabadi1 推算图 + 官方价表；claude-haiku55-round1-2026-10-08.json,False,,2026-09-22~2026-09-27,derived,Claude Pro · claude-opus-5.5,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
claude_pro::claude-haiku-5.5,Claude Pro,,subscription,claude-haiku-5.5,Claude Haiku 5.5,,Anthropic,,Claude Haiku 5.5 · Claude Pro,anthropic,"{'cached': 0.01, 'input': 0.1, 'output': 0.5, 'currency': 'USD'}",20.0,596.423,0.00033533247,0.0147,0.0228,low,main,由同套餐 claude-opus-5.5 30.54 亿 × 19.52924726171056,新增596.42亿：Pro Opus5.5 实测锚 30.54亿 × 混合价比 19.5292（Opus5.5 $0.419 vs Haiku5.5 90/10 分段混合 $0.021455：≤100K 档 $0.015325 占 90%、>100K 档 $0.076625 占 10%，2026-10-08 裁定按 token 近似 90% 落 ≤100K；社区说法为约 90% 请求 <100K，按请求数折 token 会低估 >100K 份额）；不采：纯 ≤100K 档 834.99亿、50/50 278.33亿；X @1kartikkabadi1 推算图；claude-haiku55-round1-2026-10-08.json,False,,2026-09-22~2026-09-27,derived,Claude Pro · claude-opus-5.5,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
claude_max_20x::claude-sonnet-5.5,Claude Max 20x (9/14+),,subscription,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 · Claude Max 20x (9/14+),anthropic,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",200.0,630.76,0.0031707781,0.197,0.0161,low,main,由同套餐 claude-opus-5.5 315.38 亿 × 2.0,新增630.76亿：20x Opus5.5 采用值 315.38亿 × 混合价比 2，同 Pro 口径派生非实测；claude-haiku55-round1-2026-10-08.json,False,,2026-09-22~2026-09-27,derived,Claude Max 20x (9/14+) · claude-opus-5.5,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
claude_max_20x::claude-haiku-5.5,Claude Max 20x (9/14+),,subscription,claude-haiku-5.5,Claude Haiku 5.5,,Anthropic,,Claude Haiku 5.5 · Claude Max 20x (9/14+),anthropic,"{'cached': 0.01, 'input': 0.1, 'output': 0.5, 'currency': 'USD'}",200.0,6159.134,0.00032472098,0.0147,0.0221,low,main,由同套餐 claude-opus-5.5 315.38 亿 × 19.52924726171056,新增6159.13亿：20x Opus5.5 采用值 315.38亿 × 混合价比 19.5292（Haiku5.5 90/10 分段混合），同 Pro 口径派生非实测；外推幅度大，若池权重偏离价格比须重推；不采：纯 ≤100K 8622.79亿、50/50 2874.26亿；claude-haiku55-round1-2026-10-08.json,False,,2026-09-22~2026-09-27,derived,Claude Max 20x (9/14+) · claude-opus-5.5,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
claude_max_5x::claude-sonnet-5.5,Claude Max 5x (9/14+),,subscription,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 · Claude Max 5x (9/14+),anthropic,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",100.0,366.68,0.0027271736,0.197,0.0138,low,full,由同套餐 claude-opus-5.5 183.34 亿 × 2.0,新增366.68亿：5x Opus5.5 直测锚 183.34亿 × 混合价比 2，同 Pro 口径派生非实测；2026-10-08 裁定锚同套餐直测行，不用 20x÷2（得 315.38亿，不采）；claude-haiku55-round1-2026-10-08.json,False,,2026-09-29~2026-10-03,derived,Claude Max 5x (9/14+) · claude-opus-5.5,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
claude_max_5x::claude-haiku-5.5,Claude Max 5x (9/14+),,subscription,claude-haiku-5.5,Claude Haiku 5.5,,Anthropic,,Claude Haiku 5.5 · Claude Max 5x (9/14+),anthropic,"{'cached': 0.01, 'input': 0.1, 'output': 0.5, 'currency': 'USD'}",100.0,3580.492,0.00027929123,0.0147,0.019,low,full,由同套餐 claude-opus-5.5 183.34 亿 × 19.52924726171056,新增3580.49亿：5x Opus5.5 直测锚 183.34亿 × 混合价比 19.5292（Haiku5.5 90/10 分段混合），同 Pro 口径派生非实测；2026-10-08 裁定锚同套餐直测行，不用 20x÷2；不采：纯 ≤100K 5012.69亿、50/50 1670.90亿；claude-haiku55-round1-2026-10-08.json,False,,2026-09-29~2026-10-03,derived,Claude Max 5x (9/14+) · claude-opus-5.5,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
chatgpt_pro_5x::gpt-6-astra,ChatGPT Pro 5x,,subscription,gpt-6-astra,GPT-6 Astra,,OpenAI,,GPT-6 Astra · ChatGPT Pro 5x,measured,,100.0,9.1,0.10989011,,,low,full,由同套餐 gpt-5.6-sol 30.8 亿 × 0.295458068516509,9.53→9.10011亿：38.12×30.8/129.02（沿用Sol 20x→5x档间比例，基准随Sol 20x加权值联动4.19×）；round12 codex#45085 prolite同框2.31亿/周≈9.2亿/月量级接近但为多代理Astra High放大样本，不直接采；chatgpt-astra-sameframe-round13-2026-09-20.json,False,,2026-07-30~2026-09-21,derived,ChatGPT Plus · gpt-5.6-sol；ChatGPT Pro 20x · gpt-6-astra、gpt-5.6-sol,highest_archived_reference,5,aa_intelligence_index:9b1da82a91856d8d,GPT-6 Astra (max),52.6737,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:e5bdec03718dfb8f,Codex - GPT-6 Astra (max),58.18,,False,Codex,max,,55.39,60.97,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:700453154be041cb,Artificial Analysis - GPT-6 Astra (xhigh),59.596,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2fa5b191581aaf87,gpt-6-astra-max,1789,,False,,max,,1778.6,1799.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:704fea58650c673b,GPT 6 Astra (Max),12.18,,False,,max,,9.9,14.459999999999999,,2.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:6ee94ff7d755eeee,Codex - GPT-6 Astra (max),61.645,,False,Codex,max,,,,7.4671,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:eab6a68a5b32527b,GPT-6 Astra,82.7,,False,OpenDesign,,,,,1.612939,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:aa4ad931eff45be4,mini-swe-agent - gpt-6-astra (xhigh),74.11504424778761,,False,mini-swe-agent,xhigh,,71.24964807371246,76.98044042186275,6.52377356460177,5.6717151,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_ultra::composer-2.5,Cursor Ultra (Standard),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Ultra (Standard),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",200.0,199.608,0.010019638,0.219,0.0458,medium,main,由同套餐 grok-4.6 77.37 亿 × 2.5799086757990866,旧80亿基准→77.37亿×统一标准负载倍率2.579909；随round8标准中间值联动，非Composer实测；见cursor-adoption-round8-2026-09-06.json,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
cursor_ultra::grok-4.5,Cursor Ultra,,subscription,grok-4.5,Grok 4.5,,SpaceXAI,,Grok 4.5 · Cursor Ultra,measured,"{'cached': 0.3, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",200.0,77.37,0.025849813,0.371,0.0697,medium,full,由同套餐 grok-4.6 77.37 亿 × 1.0,旧80亿→77.37亿，继承round8标准基准；Cursor官方models-and-pricing两模型同价，非Grok4.5独立实测；不采用xAI公开API缓存价差；见cursor-adoption-round8-2026-09-06.json,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,highest_archived_reference,1,aa_intelligence_index:829ff4209a0293bc,Grok 4.5 (high),38.8121,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:98d088ff379b956d,Grok Build - Grok 4.5 (high),12.42,,False,Grok Build,high,,9.8,15.04,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:68bfb23c4047a7a3,Artificial Analysis - Grok 4.5 (high),10.6061,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dc0921a30ecddd2c,grok-4.5,1552,,False,,,,1545.4,1558.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:069dfce97d9ef41d,Grok 4.5,1.11,,False,,,,0.1200000000000001,2.1,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:70b6e868fcb9cd80,mini-swe-agent - grok-4-5 (high),53.76106194690266,,False,mini-swe-agent,high,,51.48025737402474,56.04186651978057,2.4157481725663716,2.02311,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
cursor_pro::composer-2.5,Cursor Pro (Standard),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Pro (Standard),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",20.0,12.126,0.016493485,0.219,0.0753,medium,main,由同套餐 grok-4.6 4.7 亿 × 2.5799086757990866,Standard：官方Cursor三段价混合比；旧12.079亿用舍入倍率2.57，现保留完整精度,False,,2026-08-27,derived,Cursor Pro · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
cursor_pro_plus::composer-2.5,Cursor Pro+ (Standard),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Pro+ (Standard),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",60.0,53.229,0.011272051,0.219,0.0515,low,full,由同套餐 grok-4.6 20.632 亿 × 2.5799086757990866,旧21.33亿基准→20.63亿×统一标准负载倍率2.579909；随round8的Ultra77.37×800/3000联动，保留跨档假设；见cursor-adoption-round8-2026-09-06.json,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
supergrok_heavy::grok-4.5,SuperGrok Heavy,,subscription,grok-4.5,Grok 4.5,,SpaceXAI,,Grok 4.5 · SuperGrok Heavy,standard,"{'cached': 0.3, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",300.0,51.6,0.058139535,0.371,0.1567,medium,full,由同套餐 grok-4.6 51.6 亿 × 1.0,维持同订阅额度假设51.6亿（4.6折算基准随动），尚无4.5独立面板实测；xAI API缓存价差不能直接映射订阅周池；与Cursor渠道分开,False,,2026-08-23~2026-09-20,derived,SuperGrok · grok-4.6,highest_archived_reference,1,aa_intelligence_index:829ff4209a0293bc,Grok 4.5 (high),38.8121,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:98d088ff379b956d,Grok Build - Grok 4.5 (high),12.42,,False,Grok Build,high,,9.8,15.04,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:68bfb23c4047a7a3,Artificial Analysis - Grok 4.5 (high),10.6061,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dc0921a30ecddd2c,grok-4.5,1552,,False,,,,1545.4,1558.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:069dfce97d9ef41d,Grok 4.5,1.11,,False,,,,0.1200000000000001,2.1,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:70b6e868fcb9cd80,mini-swe-agent - grok-4-5 (high),53.76106194690266,,False,mini-swe-agent,high,,51.48025737402474,56.04186651978057,2.4157481725663716,2.02311,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
supergrok::grok-4.5,SuperGrok,,subscription,grok-4.5,Grok 4.5,,SpaceXAI,,Grok 4.5 · SuperGrok,standard,"{'cached': 0.3, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",30.0,5.16,0.058139535,0.371,0.1567,medium,full,由同套餐 grok-4.6 5.16 亿 × 1.0,维持同订阅额度假设5.16亿（4.6折算基准随动），尚无4.5独立面板实测；xAI API缓存价差不能直接映射订阅周池；与Cursor渠道分开,False,,2026-08-23~2026-09-20,derived,SuperGrok · grok-4.6,highest_archived_reference,1,aa_intelligence_index:829ff4209a0293bc,Grok 4.5 (high),38.8121,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:98d088ff379b956d,Grok Build - Grok 4.5 (high),12.42,,False,Grok Build,high,,9.8,15.04,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:68bfb23c4047a7a3,Artificial Analysis - Grok 4.5 (high),10.6061,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dc0921a30ecddd2c,grok-4.5,1552,,False,,,,1545.4,1558.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:069dfce97d9ef41d,Grok 4.5,1.11,,False,,,,0.1200000000000001,2.1,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:70b6e868fcb9cd80,mini-swe-agent - grok-4-5 (high),53.76106194690266,,False,mini-swe-agent,high,,51.48025737402474,56.04186651978057,2.4157481725663716,2.02311,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::claude-fable-5.1,Droid Max,,subscription,claude-fable-5.1,Claude Fable 5.1,,Anthropic,,Claude Fable 5.1 · Droid Max,anthropic,,200.0,10.104,0.19794141,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 0.4,Factory官方倍率 Opus 5.5 1.6× / claude-fable-5.1 4×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,5,aa_intelligence_index:71823637d973a0fc,Claude Fable 5.1 (max with fallback),53.3549,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:136537b36ce98c25,Claude Code - Fable 5.1 (max),57.88,,False,Claude Code,max,,54.120000000000005,61.64,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:41e12ce515ec9121,Artificial Analysis - Claude Fable 5.1 (xhigh with fallback),55.0505,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8e70472a84bf71d1,claude-fable-5.1-max,1751,,False,,max,,1741.3,1760.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:d1cdd70383ae2039,Claude Fable 5.1 (Max),14.55,,False,,max,,12.63,16.47,,4.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:f882189259104e87,Claude Code - Fable 5.1 (max) (with fallback),62.2225,,False,Claude Code,max,,,,12.3881,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:0ed675e0b61ae3ac,Claude Fable 5.1,80.3,,False,OpenDesign,,,,,3.660199,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
droid_max::claude-fable-5,Droid Max,,subscription,claude-fable-5,Claude Fable 5,,Anthropic,,Claude Fable 5 · Droid Max,anthropic,"{'cached': 1.0, 'input': 10.0, 'output': 50.0, 'currency': 'USD'}",200.0,10.104,0.19794141,1.47,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 0.4,Factory官方倍率 Opus 5.5 1.6× / claude-fable-5 4×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:9b5f20f46c907550,Claude Fable 5 (with fallback),49.6258,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:eb2874e55b9e0003,Claude Code - Fable 5 (max),44.55,,False,Claude Code,max,,40.699999999999996,48.4,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6fd65552e1fc1e0a,Artificial Analysis - Claude Fable 5 (with fallback),42.4242,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:72ebbd507122c58e,claude-fable-5-high,1626,,False,,high,,1619.6,1632.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3d3ae04ef0c99602,Claude Fable 5 (High),8.37,,False,,high,,7.069999999999999,9.67,,2.02,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:60791be82ce959e0,mini-swe-agent - claude-fable-5 (xhigh),69.91150442477876,,False,mini-swe-agent,xhigh,,66.66658684930744,73.15642200025007,13.414521495535714,11.341082999999998,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::claude-opus-5,Droid Max,,subscription,claude-opus-5,Claude Opus 5,,Anthropic,,Claude Opus 5 · Droid Max,anthropic,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",200.0,20.208,0.098970705,0.735,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 0.8,Factory官方倍率 Opus 5.5 1.6× / claude-opus-5 2×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,5,aa_intelligence_index:68425237e9876779,Claude Opus 5 (max),50.7771,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:7d59ed14e6a26f29,Claude Code - Opus 5 (xhigh),53.94,,False,Claude Code,xhigh,,50.769999999999996,57.11,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:0ed48e92962897a4,Artificial Analysis - Claude Opus 5 (max),48.9899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:3aa3e36faa602970,claude-opus-5-max,1694,,False,,max,,1687.5,1700.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:63ab115851e0de58,Claude Opus 5 (High),8.76,,False,,high,,7.26,10.26,,2.5,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:e0b71dfaa4f1714e,Claude Code - Opus 5 (max),59.7264,,False,Claude Code,max,,,,10.7892,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:f029cafdaf0a4ee3,mini-swe-agent - claude-opus-5 (max),73.64864864864865,,False,mini-swe-agent,max,,69.77633822227692,77.52095907502039,11.837583271396396,10.4281505,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::claude-opus-4.8,Droid Max,,subscription,claude-opus-4.8,Claude Opus 4.8,,Anthropic,,Claude Opus 4.8 · Droid Max,anthropic,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",200.0,20.208,0.098970705,0.735,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 0.8,Factory官方倍率 Opus 5.5 1.6× / claude-opus-4.8 2×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:8ba60e513dcc3861,Claude Opus 4.8 (max),41.7899,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:4b4e1e5e2f86b9f3,Claude Code - Opus 4.8 (max),23.64,,False,Claude Code,max,,20.080000000000002,27.2,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6569cb5d8342ed58,Artificial Analysis - Claude Opus 4.8 (max),21.7172,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:fae8bb30a0d7476b,claude-opus-4-8-high,1556,,False,,high,,1550.3,1561.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:263865305f7ecdb7,Claude Opus 4.8 (High),6.92,,False,,high,,5.54,8.3,,1.36,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:03fa5cc9c1b4bc14,mini-swe-agent - claude-opus-4-8 (max),58.97435897435898,,False,mini-swe-agent,max,,57.20954362692973,60.73917432178823,13.222583593240094,12.353505999999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::claude-sonnet-5.5,Droid Max,,subscription,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 · Droid Max,anthropic,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",200.0,50.52,0.039588282,0.197,0.201,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / claude-sonnet-5.5 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
droid_max::gpt-6-astra,Droid Max,,subscription,gpt-6-astra,GPT-6 Astra,,OpenAI,,GPT-6 Astra · Droid Max,anthropic,,200.0,10.104,0.19794141,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 0.4,Factory官方倍率 Opus 5.5 1.6× / gpt-6-astra 4×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,5,aa_intelligence_index:9b1da82a91856d8d,GPT-6 Astra (max),52.6737,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:e5bdec03718dfb8f,Codex - GPT-6 Astra (max),58.18,,False,Codex,max,,55.39,60.97,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:700453154be041cb,Artificial Analysis - GPT-6 Astra (xhigh),59.596,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2fa5b191581aaf87,gpt-6-astra-max,1789,,False,,max,,1778.6,1799.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:704fea58650c673b,GPT 6 Astra (Max),12.18,,False,,max,,9.9,14.459999999999999,,2.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:6ee94ff7d755eeee,Codex - GPT-6 Astra (max),61.645,,False,Codex,max,,,,7.4671,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:eab6a68a5b32527b,GPT-6 Astra,82.7,,False,OpenDesign,,,,,1.612939,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:aa4ad931eff45be4,mini-swe-agent - gpt-6-astra (xhigh),74.11504424778761,,False,mini-swe-agent,xhigh,,71.24964807371246,76.98044042186275,6.52377356460177,5.6717151,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::gpt-6-sol,Droid Max,,subscription,gpt-6-sol,GPT-6 Sol,,OpenAI,,GPT-6 Sol · Droid Max,anthropic,,200.0,50.52,0.039588282,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / gpt-6-sol 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,6,aa_intelligence_index:ca545106241767d7,GPT-6 Sol (max),47.5276,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:c54c846fa56e7fb9,Artificial Analysis - GPT-6 Sol (max),43.9394,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:99658ae7db6b17a4,gpt-6-sol-max,1689,,False,,max,,1677.2,1700.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c3f5ba38fbb30407,GPT 6 Sol (Max),10.65,,False,,max,,8.08,13.22,,0.91,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:a5a1b714fe3ad343,Codex - GPT-6 Sol (max),56.6626,,False,Codex,max,,,,2.9897,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:63b060c2709bd850,GPT-6 Sol,89.9,,False,OpenDesign,,,,,0.296641,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
droid_max::gpt-6-luna,Droid Max,,subscription,gpt-6-luna,GPT-6 Luna,,OpenAI,,GPT-6 Luna · Droid Max,anthropic,,200.0,1010.4,0.0019794141,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 40.0,Factory官方倍率 Opus 5.5 1.6× / gpt-6-luna 0.04×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,6,aa_intelligence_index:e41e4b6709da24d4,GPT-6 Luna (max),37.256,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,6,aa_terminal_bench_4:4d4153eb38f2e84f,Artificial Analysis - GPT-6 Luna (max),12.6263,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:27376aa104f48f0e,gpt-6-luna-max,1582,,False,,max,,1573.0,1591.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:04bd9ba65c143398,GPT 6 Luna (Max),1.68,,False,,max,,0.27,3.09,,0.06,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:01e2ffcaa1665576,Codex - GPT-6 Luna (max),41.0744,,False,Codex,max,,,,0.1759,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:df380d7af56a8dd0,GPT-6 Luna,83.1,,False,OpenDesign,,,,,0.015871,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
droid_max::gpt-5.6-sol,Droid Max,,subscription,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT 5.6 Sol · Droid Max,anthropic,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",200.0,25.26,0.079176564,0.588,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 1.0,Factory官方倍率 Opus 5.5 1.6× / gpt-5.6-sol 1.6×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；1.6×为促销倍率，2026-11-22后恢复2×（届时约0.8×Opus），到期须复核,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::gpt-5.6-terra,Droid Max,,subscription,gpt-5.6-terra,GPT 5.6 Terra,,OpenAI,,GPT 5.6 Terra · Droid Max,anthropic,"{'cached': 0.2, 'input': 2.0, 'output': 12.0, 'currency': 'USD'}",200.0,50.52,0.039588282,0.304,0.1302,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / gpt-5.6-terra 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,6,aa_intelligence_index:caaac19d5e8e542f,GPT-5.6 Terra (max),42.0829,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:57a5da2cde308af0,Codex - GPT-5.6 Terra (max),21.52,,False,Codex,max,,18.27,24.77,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:4ce13a3cd68939ad,Artificial Analysis - GPT-5.6 Terra (max),35.3535,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c67b556fb4592ef2,gpt-5.6-terra-xhigh (codex-harness),1519,,False,Codex,xhigh,,1512.4,1525.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:96e32efd63046574,GPT 5.6 Terra (xHigh),0.83,,False,,xhigh,,-0.42000000000000004,2.08,,0.43,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:1e9b21c2004faec1,mini-swe-agent - gpt-5-6-terra (max),69.62305986696231,,False,mini-swe-agent,max,,67.06612091651647,72.17999881740815,4.945847263858093,4.114557,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::gpt-5.6-luna,Droid Max,,subscription,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT 5.6 Luna · Droid Max,anthropic,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",200.0,505.2,0.0039588282,0.0304,0.1302,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 20.0,Factory官方倍率 Opus 5.5 1.6× / gpt-5.6-luna 0.08×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::gemini-3.8-flash,Droid Max,,subscription,gemini-3.8-flash,Gemini 3.8 Flash,,Google,,Gemini 3.8 Flash · Droid Max,anthropic,,200.0,134.72,0.014845606,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 5.333333333333334,Factory官方倍率 Opus 5.5 1.6× / gemini-3.8-flash 0.3×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；0.3×为促销倍率，2027-01-01后恢复0.6×（届时约2.66667×Opus），到期须复核,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,3,aa_intelligence_index:a795ed51d673418d,Gemini 3.8 Flash (high),40.9262,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:206ddf92cd474c5f,mini-SWE-agent - Gemini 3.8 Flash (high),19.09,,False,mini-SWE-agent,high,,15.73,22.45,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,aa_terminal_bench_4:a1eae5d167a32a34,Artificial Analysis - Gemini 3.8 Flash (medium),19.697,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:cee78179b654f666,gemini-3.8-flash-high,1583,,False,,high,,1575.1,1590.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:60a00778bc1492a5,Gemini 3.8 Flash (High),2.96,,False,,high,,2.14,3.78,,0.58,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:68de21286728c605,Antigravity SDK - Gemini 3.8 Flash (high),41.8632,,False,Antigravity SDK v0.1.12,high,,,,2.4674,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:e5b1ca76e59dabd0,Gemini 3.8 Flash,68.9,,False,OpenDesign,,,,,0.210201,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,deepswe_1_1:a4e0e06e8292b616,mini-swe-agent - gemini-3-8-flash (high),73.8255033557047,,False,mini-swe-agent,high,,72.40819014906883,75.24281656234058,2.362349413758389,2.1098912999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::gemini-3.7-flash,Droid Max,,subscription,gemini-3.7-flash,Gemini 3.7 Flash,,Google,,Gemini 3.7 Flash · Droid Max,anthropic,"{'cached': 0.075, 'input': 0.75, 'output': 3.75, 'currency': 'USD'}",200.0,134.72,0.014845606,0.1103,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 5.333333333333334,Factory官方倍率 Opus 5.5 1.6× / gemini-3.7-flash 0.3×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；0.3×为促销倍率，2027-01-01后恢复0.6×（届时约2.66667×Opus），到期须复核,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,3,aa_intelligence_index:59269287bc1e95d8,Gemini 3.7 Flash (medium) [AA estimate],39.6178,True,False,,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2106790cd4627629,mini-SWE-agent - Gemini 3.7 Flash (high),11.21,,False,mini-SWE-agent,high,,8.760000000000002,13.66,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:69dd3b76427af507,Artificial Analysis - Gemini 3.7 Flash (high),13.6364,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:778f5c97eb827e03,gemini-3.7-flash-high,1592,,False,,high,,1584.6,1599.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:47cad90e68374509,Gemini 3.7 Flash (High),-1.64,,False,,high,,-2.4,-0.8799999999999999,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,deepswe_1_1:e9d8d5305f3c7552,mini-swe-agent - gemini-3-7-flash (medium),65.48672566371681,,False,mini-swe-agent,medium,,62.40019338730129,68.57325794013234,2.0251351826880533,1.65422055,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::grok-4.7,Droid Max,,subscription,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 · Droid Max,anthropic,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",200.0,50.52,0.039588282,0.565,0.0701,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / grok-4.7 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
droid_max::grok-4.6,Droid Max,,subscription,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 · Droid Max,anthropic,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",200.0,50.52,0.039588282,0.565,0.0701,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / grok-4.6 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::inkling,Droid Max,,subscription,inkling,Inkling,,other,,Inkling · Droid Max,anthropic,,200.0,101.04,0.019794141,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 4.0,Factory官方倍率 Opus 5.5 1.6× / inkling 0.4×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:ae97bbe112769bcd,Inkling (xhigh),24.9848,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:8b8fcc0fa14e07eb,Artificial Analysis - Inkling (xhigh),1.0101,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:07b745ae2862d994,inkling,1412,,False,,,,1405.6,1418.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8967f33635820f8b,Inkling,-10.9,,False,,,,-11.96,-9.84,,0.25,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_max::mistral-medium-3.5,Droid Max,,subscription,mistral-medium-3.5,Mistral Medium 3.5,,Mistral,,Mistral Medium 3.5 · Droid Max,anthropic,,200.0,67.36,0.029691211,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.666666666666667,Factory官方倍率 Opus 5.5 1.6× / mistral-medium-3.5 0.6×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:479a072abc28cf2a,Mistral Medium 3.5,14.1889,False,False,,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:d8495a02281ad221,Artificial Analysis - Mistral Medium 3.5,0.0,,False,Artificial Analysis,medium,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:daa8896f14bb8dc8,mistral-medium-3.5,1263,,False,,medium,,1248.2,1277.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:9c4432eeedad5bad,Mistral Medium 3.5,-11.74,,False,,medium,,-13.24,-10.24,,0.67,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_max::glm-5.3-flash,Droid Max,,subscription,glm-5.3-flash,GLM 5.3 Flash,,Zhipu,,GLM 5.3 Flash · Droid Max,anthropic,"{'cached': 0.03, 'input': 0.15, 'output': 0.5, 'currency': 'USD'}",200.0,673.6,0.0029691211,0.0353,0.084,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 26.666666666666668,Factory官方倍率 Opus 5.5 1.6× / glm-5.3-flash 0.06×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:066a860a43b7204e,GLM-5.3-Flash,41.8075,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:458e21cad837a439,Artificial Analysis - GLM-5.3-Flash,32.8283,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:379b30f1d5942d86,glm-5.3-flash,1615,,False,,,,1607.3,1622.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:bd0ff69aca5acca9,GLM 5.3 Flash,-0.28,,False,,,,-0.76,0.19999999999999996,,0.1,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:2bf6b5cf8d0df775,mini-swe-agent - glm-5-3-flash (max),63.39285714285714,,False,mini-swe-agent,max,,59.0148863911635,67.77082789455078,0.48196371245535713,0.389975125,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::glm-5.3,Droid Max,,subscription,glm-5.3,GLM 5.3,,Zhipu,,GLM 5.3 · Droid Max,anthropic,"{'cached': 0.26, 'input': 1.4, 'output': 4.4, 'currency': 'USD'}",200.0,72.171,0.027711962,0.3092,0.0896,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.857142857142857,Factory官方倍率 Opus 5.5 1.6× / glm-5.3 0.56×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,2,aa_intelligence_index:21922ac966701739,GLM-5.3 (max),44.7774,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0bfd0655b217cb23,Claude Code - GLM-5.3 (max),41.82,,False,Claude Code,max,,38.59,45.05,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:496fda38cce0cdb6,Artificial Analysis - GLM-5.3 (max),41.9192,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:2d279d541bee2ba7,glm-5.3-max,1622,,False,,max,,1613.8,1630.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:64885804c8dddecd,GLM 5.3 (Max),2.57,,False,,max,,1.8499999999999999,3.29,,0.64,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:9f41ae70311c2b0b,Opencode - GLM-5.3,53.5548,,False,Opencode,max,,,,4.2414,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:dac434c8397694b1,mini-swe-agent - glm-5-3 (max),68.95787139689578,,False,mini-swe-agent,max,,65.93922012533709,71.97652266845449,3.9933584893126386,3.1315945999999992,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::glm-5.2,Droid Max,,subscription,glm-5.2,GLM 5.2,,Zhipu,,GLM 5.2 · Droid Max,anthropic,,200.0,72.171,0.027711962,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.857142857142857,Factory官方倍率 Opus 5.5 1.6× / glm-5.2 0.56×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,2,aa_intelligence_index:4b9229f7a5210ab7,GLM-5.2 (max),33.7055,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:9ad8c75e6b68658f,Artificial Analysis - GLM-5.2 (max),1.0101,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:828ee7654a1873aa,glm-5.2-max,1605,,False,,max,,1598.6,1611.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:f4f60f98940c49ee,GLM 5.2 (Max),3.64,,False,,max,,2.9000000000000004,4.38,,0.76,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,deepswe_1_1:3c0de09601f2c8a8,mini-swe-agent - glm-5-2 (max),43.77777777777778,,False,mini-swe-agent,max,,42.05214815719697,45.50340739835859,3.9199075743111114,3.4637479200000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::glm-5.2-fast,Droid Max,,subscription,glm-5.2-fast,GLM 5.2 Fast,,Zhipu,,GLM 5.2 Fast · Droid Max,anthropic,,200.0,48.114,0.041567943,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 1.9047619047619049,Factory官方倍率 Opus 5.5 1.6× / glm-5.2-fast 0.84×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_max::kimi-k3,Droid Max,,subscription,kimi-k3,Kimi K3,,Kimi,,Kimi K3 · Droid Max,anthropic,"{'cached': 0.3, 'input': 3.0, 'output': 15.0, 'currency': 'USD'}",200.0,33.68,0.059382423,0.441,0.1347,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 1.3333333333333335,Factory官方倍率 Opus 5.5 1.6× / kimi-k3 1.2×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,2,aa_intelligence_index:13115cf53ac21275,Kimi K3 (max),43.5938,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,2,aa_terminal_bench_4:cc7c150caad9b305,Artificial Analysis - Kimi K3 (low),12.6263,,False,Artificial Analysis,low,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ac2bf8a87d9de607,kimi-k3-max,1658,,False,,max,,1651.6,1664.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:1307216843d89276,Kimi K3 (Max),3.98,,False,,max,,3.45,4.51,,0.75,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:4a7256426ed97ee6,Kimi Code CLI - Kimi K3,51.9259,,False,Kimi Code CLI,,,,,5.0472,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:9aadc4d724514f03,Kimi K3,65.7,,False,OpenDesign,,,,,0.613653,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:aefa4afd042df82c,mini-swe-agent - kimi-k3 (max),68.51441241685144,,False,mini-swe-agent,max,,63.97739833756913,73.05142649613376,4.654682129933482,3.6024987,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::qwen3.8-max,Droid Max,,subscription,qwen3.8-max,Qwen3.8 Max,,Alibaba,,Qwen3.8 Max · Droid Max,anthropic,,200.0,50.52,0.039588282,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 2.0,Factory官方倍率 Opus 5.5 1.6× / qwen3.8-max 0.8×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:8919405f90e7565f,Qwen3.8 Max,40.1529,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0487a0a408dccb82,Artificial Analysis - Qwen3.8 Max,18.6869,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:ab7cf4e12f67d532,qwen3.8-max,1671,,False,,max,,1659.0,1683.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:9ce366a4c245bae4,Qwen3.8 Max,2.8,,False,,max,,2.15,3.4499999999999997,,0.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:82bc37b4bd5aa375,Claude Code - Qwen3.8 Max,43.2653,,False,Claude Code,max,,,,3.479,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:fbd3d33fa1d7cf9a,Qwen 3.8-Max,72,,False,OpenDesign,max,,,,0.595399,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:f20515f2e81cba89,mini-swe-agent - qwen3-8-max (xhigh),57.46102449888642,,False,mini-swe-agent,max,,54.798231826378874,60.12381717139396,3.7290646500445437,3.132689060000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
droid_max::nemotron-3-ultra,Droid Max,,subscription,nemotron-3-ultra,Nemotron 3 Ultra,,other,,Nemotron 3 Ultra · Droid Max,anthropic,,200.0,168.4,0.011876485,,,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 6.666666666666667,Factory官方倍率 Opus 5.5 1.6× / nemotron-3-ultra 0.24×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:5cd72513bff7d4b7,Nemotron 3 Ultra,22.9279,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:3d0d41d5c6a6aa9b,Artificial Analysis - Nemotron 3 Ultra,0.5051,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
droid_max::deepseek-v4.1-flash,Droid Max,,subscription,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash · Droid Max,anthropic,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",200.0,336.8,0.0059382423,0.0193,0.3074,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 13.333333333333334,Factory官方倍率 Opus 5.5 1.6× / deepseek-v4.1-flash 0.12×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
droid_max::minimax-m3,Droid Max,,subscription,minimax-m3,MiniMax M3,,MiniMax,,MiniMax M3 · Droid Max,anthropic,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",200.0,336.8,0.0059382423,0.0717,0.0828,medium,full,由同套餐 claude-opus-5.5 25.26 亿 × 13.333333333333334,Factory官方倍率 Opus 5.5 1.6× / minimax-m3 0.12×：同一 Standard Usage 池按倍率折算，非该模型实测；沿用 Opus 5.5 行 Anthropic 档负载，未按各模型自身价差重算；docs.factory.ai/docs/models；droid-model-multipliers-2026-09-29.json；Droid Core 模型先扣 Standard Usage，用尽后另有免费开源池（独立限额未实测），本值只计 Standard Usage 部分,False,,2026-09-29,derived,Droid Max · claude-opus-5.5,highest_archived_reference,1,aa_intelligence_index:179c62d659734cb1,MiniMax-M3,29.2203,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:4f6bf2d4de391fa8,Artificial Analysis - MiniMax-M3,2.0202,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:f206c3043bc8027f,minimax-m3,1482,,False,,,,1476.3,1487.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:a16fe8d7c7b78883,Minimax M3,-6.71,,False,,,,-7.6,-5.82,,0.08,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_plus_cn::minimax-m2.7,MiniMax Token Plan Plus,,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · MiniMax Token Plan Plus,measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",7.23,6.0,0.012047541,0.0717,0.168,medium,full,由同套餐 minimax-m3 6.0 亿 × 1.0,与 M3 同价；未折算：官方绝对 token 表，不套负载；汇率1 USD=6.7787 CNY（2026-09-04 人民币汇率中间价），旧汇率7.2；人民币月费除以汇率换美元；https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html,False,,2026-06-01,derived,MiniMax Token Plan Plus · minimax-m3,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
minimax_token_plus_global::minimax-m2.7,MiniMax Token Plan Plus (Global),,subscription,minimax-m2.7,MiniMax M2.7,,MiniMax,,MiniMax M2.7 · MiniMax Token Plan Plus (Global),measured,"{'cached': 0.06, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",22.0,17.0,0.012941176,0.0717,0.1805,medium,full,由同套餐 minimax-m3 17.0 亿 × 1.0,与 M3 同价；未折算：官方绝对 token 表，不套负载,False,,2026-06-01,derived,MiniMax Token Plan Plus (Global) · minimax-m3,highest_archived_reference,1,aa_intelligence_index:58eba7a1df2c56c5,MiniMax-M2.7,22.7578,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:0ba9180d8eb1c0d7,Artificial Analysis - MiniMax-M2.7,0.0,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:891df129a594a41e,minimax-m2.7,1397,,False,,,,1391.2,1402.8,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
cursor_ultra_composer_fast::composer-2.5,Cursor Ultra (Composer Fast),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Ultra (Composer Fast),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",200.0,68.841,0.029052454,0.219,0.1327,medium,main,https://cursor.com/docs/models/cursor-composer-2-5；audit-round4-2026-09-05.json,新增Fast（产品默认）估算：缓存/输入/输出=0.5/3/15；扣费为Standard的2.8995×；沿用同套餐Grok标准基准77.37亿×0.88976378，不是实测；Grok Fast采用维护者当前账号独立反推30.74亿，不套到Composer；round8随标准基准联动，旧Composer Fast额度72.937亿，促销/跨档混杂未剥离；见cursor-adoption-round8-2026-09-06.json,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
cursor_pro_composer_fast::composer-2.5,Cursor Pro (Composer Fast),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Pro (Composer Fast),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",20.0,4.182,0.047824008,0.219,0.2184,medium,main,https://cursor.com/docs/models/cursor-composer-2-5；audit-round4-2026-09-05.json,新增Fast（产品默认）估算：缓存/输入/输出=0.5/3/15；扣费为Standard的2.8995×；沿用同套餐Grok标准基准4.7亿×0.88976378，不是实测；Grok Fast采用维护者当前账号独立反推30.74亿，不套到Composer,False,,2026-08-27,derived,Cursor Pro · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
cursor_pro_plus_composer_fast::composer-2.5,Cursor Pro+ (Composer Fast),,subscription,composer-2.5,Composer 2.5,,Cursor,,Composer 2.5 · Cursor Pro+ (Composer Fast),measured,"{'cached': 0.2, 'input': 0.5, 'output': 2.5, 'currency': 'USD'}",60.0,18.358,0.032683299,0.219,0.1492,low,full,https://cursor.com/docs/models/cursor-composer-2-5；audit-round4-2026-09-05.json,新增Fast（产品默认）估算：缓存/输入/输出=0.5/3/15；扣费为Standard的2.8995×；沿用同套餐Grok标准基准20.632亿×0.88976378，不是实测；Grok Fast采用维护者当前账号独立反推30.74亿，不套到Composer；round8随标准基准联动，旧Composer Fast额度19.45亿，促销/跨档混杂未剥离；见cursor-adoption-round8-2026-09-06.json,False,,2026-08-26~2026-09-05,derived,Cursor Ultra · grok-4.6,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
devin_pro::swe-2,Devin Pro (促销至 10/31),,subscription,swe-2,SWE-2,,Cognition,,SWE-2 · Devin Pro (促销至 10/31),,,20.0,,0.0,,,medium,main,"官推2026-09-10：SWE-2 free for all Pro, Max & Teams subscribers for the next month；维护者面板同段swe-2 45.5M tokens不计额度；docs.devin.ai/admin/billing/usage 无并发上限；devin-swe2-round1-2026-09-12.json",新增≈$0/MTok（记0）：SWE-2 促销期对 Pro/Max/Teams 不占额度、不计费，无并发上限→分母无界；裁定按促销价进前沿并改变前沿，截止 2026-10-31（裁定；官推仅写 for the next month）；取最便宜可得档 Pro $20，Max 同 Y 更贵不重复画；促销结束后必须复核计费权重，定价页永久免费口径为 SWE 1.7 不是 SWE-2,True,2026-10-31,2026-09-10,official,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,terminal_bench_4:1852bc281e1867f4,Devin CLI - SWE-2 (best effort) [vendor self-report],27.3,,True,Devin CLI,,,,,,,https://cognition.com/blog/swe-2,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
deepseek_v41_flash_offpeak::deepseek-v4.1-flash,DeepSeek V4.1 Flash API 闲时,,metered,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash API 闲时,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",,,0.00966,0.0193,0.5,high,main,https://api-docs.deepseek.com/quick_start/pricing/；list-prices-deepseek-v41-round2-2026-09-10.json,旧0.00811（¥0.02/¥1/¥4÷6.7787）→0.00825；改用官方美元标价 cached/input/output=$0.003/$0.15/$0.60，套项目统一标准负载。不再用人民币÷项目汇率。api-docs.deepseek.com 2026-09-10；确认；list-prices-deepseek-v41-round2-2026-09-10.json。旧V4点按裁定不改。,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
deepseek_v41_flash_peak::deepseek-v4.1-flash,DeepSeek V4.1 Flash API 忙时,,metered,deepseek-v4.1-flash,DeepSeek V4.1 Flash,,DeepSeek,,DeepSeek V4.1 Flash API 忙时,standard,"{'cached': 0.006, 'input': 0.3, 'output': 1.2, 'currency': 'USD'}",,,0.01932,0.0193,1.0,high,main,https://api-docs.deepseek.com/quick_start/pricing/；list-prices-deepseek-v41-round2-2026-09-10.json,旧0.01623（¥0.04/¥2/¥8÷6.7787）→0.01650；改用官方美元标价 cached/input/output=$0.006/$0.30/$1.20，套项目统一标准负载。高峰=闲时2倍。api-docs.deepseek.com 2026-09-10；确认；list-prices-deepseek-v41-round2-2026-09-10.json。旧V4点按裁定不改。,False,,2026-09-10,official,,highest_archived_reference,2,aa_intelligence_index:8076c0cba16368e2,DeepSeek V4.1 Flash (max),39.4562,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:b14874c72f248246,DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report],31.2,,True,DeepSeek Harness Minimal,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,2,aa_terminal_bench_4:1e5a05b16aa7028a,Artificial Analysis - DeepSeek V4.1 Flash (max),26.7677,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:4e5d5fbc5aef2e52,deepseek-v4.1-flash-max,1620,,False,,max,,1609.6,1630.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:c8965e5dd2526f05,Deepseek V4.1 Flash (Max),4.01,,False,,max,,3.51,4.51,,0.09,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:050e7234636e98be,DeepSeek V4.1 Flash,81.2,,False,OpenDesign,,,,,0.023264,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:3d9b43ea1f40d6be,mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report],74.2,,True,mini-SWE,max,,,,,,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
deepseek_v4_flash_offpeak::deepseek-v4-flash,DeepSeek V4 Flash API 闲时,,metered,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash API 闲时,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",,,0.01559,0.0312,0.5,high,main,api-docs.deepseek.com,标价 cached 0.007/in 0.22/out 0.66 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
deepseek_v4_flash_peak::deepseek-v4-flash,DeepSeek V4 Flash API 忙时,,metered,deepseek-v4-flash,DeepSeek V4 Flash,,DeepSeek,,DeepSeek V4 Flash API 忙时,standard,"{'cached': 0.014, 'input': 0.44, 'output': 1.32, 'currency': 'USD'}",,,0.03118,0.0312,1.0,high,main,api-docs.deepseek.com,标价 cached 0.014/in 0.44/out 1.32 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,4,aa_intelligence_index:b6a092361e695dd6,DeepSeek V4 Flash 0731 (max),34.3305,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:a807bd1873a40322,Artificial Analysis - DeepSeek V4 Flash 0731 (max),12.1212,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:672fd54eff364145,deepseek-v4-flash-high,1581,,False,,high,,1571.8,1590.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_coding_agent_index:77cf38495a1886a0,Codex - DeepSeek V4 Flash 0731 (max),38.7425,,False,Codex,max,,,,0.0851,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:c0668bd778ebe124,mini-swe-agent - deepseek-v4-flash (max),53.31858407079646,,False,mini-swe-agent,max,,49.751633855764034,56.88553428582889,0.10023560370265487,0.09124898719999996,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
deepseek_v4_pro_offpeak::deepseek-v4-pro,DeepSeek V4 Pro API 闲时,,metered,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro API 闲时,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",,,0.04774,0.0955,0.5,high,main,api-docs.deepseek.com,标价 cached 0.022/in 0.66/out 1.98 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
deepseek_v4_pro_peak::deepseek-v4-pro,DeepSeek V4 Pro API 忙时,,metered,deepseek-v4-pro,DeepSeek V4 Pro,,DeepSeek,,DeepSeek V4 Pro API 忙时,standard,"{'cached': 0.044, 'input': 1.32, 'output': 3.96, 'currency': 'USD'}",,,0.09548,0.0955,1.0,high,main,api-docs.deepseek.com,标价 cached 0.044/in 1.32/out 3.96 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,5,aa_intelligence_index:e551b2b658c831ff,DeepSeek V4 Pro 0813 (max),35.9968,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,3,aa_terminal_bench_4:c2972229b7214dfc,Artificial Analysis - DeepSeek V4 Pro (max),14.6465,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,3,arena_code:986ec1bc7da59bd9,deepseek-v4-pro-high-20260813,1582,,False,,high,,1572.7,1591.3,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3081d8b084b897bf,DeepSeek V4 Pro (High) (0813),1.29,,False,,high,,-0.4099999999999999,2.99,,0.38,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d18f5779019b6787,Codex - DeepSeek V4 Pro 0813 (max),43.052,,False,Codex,max,,,,0.238,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:b317c65fa31ed642,mini-swe-agent - deepseek-v4-pro (max),62.83185840707964,,False,mini-swe-agent,max,,56.49842780985077,69.16528900430852,0.24138687892256638,0.2232531505000001,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
openai_sol_api::gpt-5.6-sol,GPT-5.6 Sol API,,metered,gpt-5.6-sol,GPT 5.6 Sol,,OpenAI,,GPT-5.6 Sol API,standard,"{'cached': 0.4, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",,,0.588,0.588,1.0,high,main,developers.openai.com,标价 cached 0.4/in 4.0/out 20.0 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,6,aa_intelligence_index:c95dc5141f32b497,GPT-5.6 Sol (max),46.9727,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:52ccc5571264dbe4,Codex - GPT-5.6 Sol (max),37.27,,False,Codex,max,,33.49,41.050000000000004,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:7ac4c013fed0b565,Artificial Analysis - GPT-5.6 Sol (max),39.899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:7e9fde485c6ddc62,gpt-5.6-sol-xhigh (codex-harness),1619,,False,Codex,xhigh,,1613.0,1625.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5c55fe7f551fe2c6,GPT 5.6 Sol (xHigh),7.05,,False,,xhigh,,5.67,8.43,,1.05,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:538ede13f4f0982c,Codex - GPT-5.6 Sol (max),54.5591,,False,Codex,max,,,,6.3533,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:048a6b75c77d30fe,GPT-5.6 Sol,77.6,,False,OpenDesign,,,,,0.544242,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,deepswe_1_1:b7fe36ffe2e53058,mini-swe-agent - gpt-5-6-sol (max),72.66666666666667,,False,mini-swe-agent,max,,69.83684441682949,75.49648891650385,8.386436346666667,6.8414715,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
xai_grok46_api::grok-4.6,Grok 4.6 API (<200k),,metered,grok-4.6,Grok 4.6,,SpaceXAI,,Grok 4.6 API (<200k),standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",,,0.565,0.565,1.0,high,main,docs.x.ai,标价 cached 0.5/in 2.0/out 6.0 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,4,aa_intelligence_index:b56103ded435971f,Grok 4.6 (high),44.3113,False,False,,high,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:2c30600255377a7d,Grok Build - Grok 4.6 (high),20.3,,False,Grok Build,high,,17.21,23.39,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,4,aa_terminal_bench_4:0493139313b0b012,Artificial Analysis - Grok 4.6 (high),21.2121,,False,Artificial Analysis,high,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:dec9c8da0773c02d,grok-4.6-high,1620,,False,,high,,1612.1,1627.9,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:09fac21036f59279,Grok 4.6 (xHigh),1.16,,False,,xhigh,,0.1399999999999999,2.1799999999999997,,0.99,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:1157285386872e0a,Grok Build - Grok 4.6 (xhigh),46.969,,False,Grok Build,xhigh,,,,3.5701,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,4,deepswe_1_1:9517554a020a7af3,mini-swe-agent - grok-4-6 (medium),67.47787610619469,,False,mini-swe-agent,medium,,65.19707153331677,69.7586806790726,3.4489837522123894,2.945834,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
xai_grok47_api::grok-4.7,Grok 4.7 API (<200k),,metered,grok-4.7,Grok 4.7,,SpaceXAI,,Grok 4.7 API (<200k),standard,"{'cached': 0.5, 'input': 2.0, 'output': 6.0, 'currency': 'USD'}",,,0.565,0.565,1.0,high,main,docs.x.ai；2026-09-21发布与4.6同价；>200K档$1/$4/$12保留在research,标价 cached 0.5/in 2.0/out 6.0 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-22,official,,highest_archived_reference,2,aa_intelligence_index:d11843ec849da6d9,Grok 4.7 (xhigh),46.4466,False,False,,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:bb8c22faf493862e,Grok Build - Grok 4.7 (xhigh),37.58,,False,Grok Build,xhigh,,34.04,41.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_terminal_bench_4:24968b82abf21817,Artificial Analysis - Grok 4.7 (xhigh),25.7576,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:168968cc57cebb7d,grok-4.7-xhigh,1636,,False,,xhigh,,1624.0,1648.0,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:0684f9cc2a945bdb,Grok 4.7 (xHigh),3.64,,False,,xhigh,,2.0700000000000003,5.21,,1.47,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:fa75b2e79a4d8cb4,Grok Build - Grok 4.7 (xhigh),56.2676,,False,Grok Build,xhigh,,,,8.8175,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:91957ddea79bc27b,Grok 4.7,82.9,,False,OpenDesign,,,,,0.662291,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:1d433900eaa0bee0,mini-swe-agent - grok-4-7 (high) [vendor self-report],71.0,,True,mini-swe-agent,high,,,,,,https://x.ai/news/grok-4-7,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_v26_pro_api::mimo-v2.6-pro,MiMo V2.6 Pro API,,metered,mimo-v2.6-pro,MiMo V2.6 Pro,,Xiaomi,,MiMo V2.6 Pro API,standard,"{'cached': 0.0036, 'input': 0.435, 'output': 0.87, 'currency': 'USD'}",,,0.018717,0.0187,1.0,high,main,OpenRouter/GOAT/OpenCode三渠道一致价；小米官方计价页未列V2.6档；mimo-v26-grok47-catalogs-round1-2026-09-22.json,标价 cached 0.0036/in 0.435/out 0.87 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:83bd852b96aedbce,MiMo-V2.6-Pro,46.3242,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:b5691a8df0db5041,Artificial Analysis - MiMo-V2.6-Pro,34.8485,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8f9ded4c04cd93a8,mimo-v2.6-pro,1619,,False,,,,1606.8,1631.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,deepswe_1_1:9454d8de1c52f2fc,mini-swe-agent - mimo-v2-6-pro [vendor self-report],71.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_v26_flash_api::mimo-v2.6-flash,MiMo V2.6 Flash API,,metered,mimo-v2.6-flash,MiMo V2.6 Flash,,Xiaomi,,MiMo V2.6 Flash API,standard,"{'cached': 0.0028, 'input': 0.14, 'output': 0.28, 'currency': 'USD'}",,,0.007616,0.0076,1.0,high,main,同上；mimo-v26-grok47-catalogs-round1-2026-09-22.json,标价 cached 0.0028/in 0.14/out 0.28 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-22,official,,highest_archived_reference,1,aa_intelligence_index:2446e4ad7216a14c,MiMo-V2.6-Flash,37.8844,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,aa_terminal_bench_4:f1477201d34edbb5,Artificial Analysis - MiMo-V2.6-Flash,22.7273,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,1,open_design_arena:af24dbf7d52582a5,MiMo 2.6 Flash,83.5,,False,OpenDesign,,,,,0.02894,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,deepswe_1_1:c2b10fcdefbd0221,mini-swe-agent - mimo-v2-6-flash [vendor self-report],67.9,,True,mini-swe-agent,,,,,,,https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",
mimo_v26_pro_ultraspeed_api::mimo-v2.6-pro-ultraspeed,MiMo V2.6 Pro UltraSpeed API,,metered,mimo-v2.6-pro-ultraspeed,MiMo V2.6 Pro UltraSpeed,,Xiaomi,,MiMo V2.6 Pro UltraSpeed API,standard,"{'cached': 0.036, 'input': 4.35, 'output': 8.7, 'currency': 'USD'}",,,0.18717,0.1872,1.0,high,main,速度档按Pro价10×（GOAT文档官方明示）；同上,标价 cached 0.036/in 4.35/out 8.7 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-22,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
anthropic_opus5_api::claude-opus-5,Claude Opus 5 API,,metered,claude-opus-5,Claude Opus 5,,Anthropic,,Claude Opus 5 API,anthropic,"{'cached': 0.5, 'input': 5.0, 'output': 25.0, 'currency': 'USD'}",,,0.76625,0.735,1.0425,high,main,platform.claude.com/docs/en/about-claude/pricing,标价 cached 0.5/in 5.0/out 25.0、缓存写(5m) $6.25 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-09-05,official,,highest_archived_reference,5,aa_intelligence_index:68425237e9876779,Claude Opus 5 (max),50.7771,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:7d59ed14e6a26f29,Claude Code - Opus 5 (xhigh),53.94,,False,Claude Code,xhigh,,50.769999999999996,57.11,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:0ed48e92962897a4,Artificial Analysis - Claude Opus 5 (max),48.9899,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_code:3aa3e36faa602970,claude-opus-5-max,1694,,False,,max,,1687.5,1700.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,arena_agent_mode:63ab115851e0de58,Claude Opus 5 (High),8.76,,False,,high,,7.26,10.26,,2.5,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:e0b71dfaa4f1714e,Claude Code - Opus 5 (max),59.7264,,False,Claude Code,max,,,,10.7892,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:f029cafdaf0a4ee3,mini-swe-agent - claude-opus-5 (max),73.64864864864865,,False,mini-swe-agent,max,,69.77633822227692,77.52095907502039,11.837583271396396,10.4281505,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
anthropic_sonnet5_api::claude-sonnet-5,Claude Sonnet 5 API,,metered,claude-sonnet-5,Claude Sonnet 5,,Anthropic,,Claude Sonnet 5 API,anthropic,"{'cached': 0.2, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",,,0.3065,0.294,1.0425,high,main,platform.claude.com/docs/en/about-claude/pricing,标价 cached 0.2/in 2.0/out 10.0、缓存写(5m) $2.5 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-09-05,official,,highest_archived_reference,6,aa_intelligence_index:00e5e17098f2a9cc,Claude Sonnet 5 (max),38.1639,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:5718a86e9278cdf2,Claude Code - Sonnet 5 (max),12.42,,False,Claude Code,max,,9.36,15.48,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:8a2bf906a5cca32e,Artificial Analysis - Claude Sonnet 5 (max),14.1414,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c91ce134bd5ec2e3,claude-sonnet-5-high,1540,,False,,high,,1533.8,1546.2,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:5729b5a20a335dfc,Claude Sonnet 5 (High),4.81,,False,,high,,3.09,6.529999999999999,,0.9,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:17f1ccadd79e3f73,mini-swe-agent - claude-sonnet-5 (max),53.84615384615385,,False,mini-swe-agent,max,,49.60923737597946,58.08307031632823,26.399858950791852,23.277376725000003,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
anthropic_fable5_api::claude-fable-5,Claude Fable 5 API,,metered,claude-fable-5,Claude Fable 5,,Anthropic,,Claude Fable 5 API,anthropic,"{'cached': 1.0, 'input': 10.0, 'output': 50.0, 'currency': 'USD'}",,,1.5325,1.47,1.0425,high,main,platform.claude.com/docs/en/about-claude/pricing,标价 cached 1.0/in 10.0/out 50.0、缓存写(5m) $12.5 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-09-05,official,,highest_archived_reference,1,aa_intelligence_index:9b5f20f46c907550,Claude Fable 5 (with fallback),49.6258,False,False,,,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:eb2874e55b9e0003,Claude Code - Fable 5 (max),44.55,,False,Claude Code,max,,40.699999999999996,48.4,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_terminal_bench_4:6fd65552e1fc1e0a,Artificial Analysis - Claude Fable 5 (with fallback),42.4242,,False,Artificial Analysis,,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:72ebbd507122c58e,claude-fable-5-high,1626,,False,,high,,1619.6,1632.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:3d3ae04ef0c99602,Claude Fable 5 (High),8.37,,False,,high,,7.069999999999999,9.67,,2.02,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:60791be82ce959e0,mini-swe-agent - claude-fable-5 (xhigh),69.91150442477876,,False,mini-swe-agent,xhigh,,66.66658684930744,73.15642200025007,13.414521495535714,11.341082999999998,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
anthropic_fable51_api::claude-fable-5.1,Claude Fable 5.1 API,,metered,claude-fable-5.1,Claude Fable 5.1,,Anthropic,,Claude Fable 5.1 API,anthropic,,,,0.805,,,high,main,platform.claude.com/docs/en/about-claude/pricing；cache read $0.25=base input×0.025（其他模型0.1×），in/out 与 Fable 5 同价；claude-fable51-round1-2026-09-13.json,标价 cached 0.25/in 10.0/out 50.0、缓存写(5m) $12.5 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-09-13,official,,highest_archived_reference,5,aa_intelligence_index:71823637d973a0fc,Claude Fable 5.1 (max with fallback),53.3549,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,5,terminal_bench_4:136537b36ce98c25,Claude Code - Fable 5.1 (max),57.88,,False,Claude Code,max,,54.120000000000005,61.64,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,5,aa_terminal_bench_4:41e12ce515ec9121,Artificial Analysis - Claude Fable 5.1 (xhigh with fallback),55.0505,,False,Artificial Analysis,xhigh,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:8e70472a84bf71d1,claude-fable-5.1-max,1751,,False,,max,,1741.3,1760.7,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:d1cdd70383ae2039,Claude Fable 5.1 (Max),14.55,,False,,max,,12.63,16.47,,4.44,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,2,aa_coding_agent_index:f882189259104e87,Claude Code - Fable 5.1 (max) (with fallback),62.2225,,False,Claude Code,max,,,,12.3881,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:0ed675e0b61ae3ac,Claude Fable 5.1,80.3,,False,OpenDesign,,,,,3.660199,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
anthropic_opus55_api::claude-opus-5.5,Claude Opus 5.5 API,,metered,claude-opus-5.5,Claude Opus 5.5,,Anthropic,,Claude Opus 5.5 API,anthropic,"{'cached': 0.2, 'input': 4.0, 'output': 20.0, 'currency': 'USD'}",,,0.419,0.394,1.0635,high,main,platform.claude.com/docs/en/about-claude/pricing；cache read $0.20=base input×0.05（其他模型0.1×）、写 $5/5m $8/1h、Fast $8/$40；claude-opus55-round1-2026-09-23.json,标价 cached 0.2/in 4.0/out 20.0、缓存写(5m) $5 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-09-23,official,,highest_archived_reference,5,aa_intelligence_index:4748ef5e83f540ec,Claude Opus 5.5 (max with fallback),57.6224,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:7939bf883e242fa9,Claude Code - Claude Opus 5.5 (default) - self-reported [vendor self-report],66.4,,True,Claude Code,,,,,,,https://www.anthropic.com/claude-opus-5-5,agent_configuration_reference,low,"Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel. Vendor self-reported score, not an official leaderboard run.",,highest_archived_reference,5,aa_terminal_bench_4:2a264ae9483b05c3,Artificial Analysis - Claude Opus 5.5 (max with fallback),59.596,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:1eb4c01b2d86e5d0,claude-opus-5.5-max,1818,,False,,max,,1801.5,1834.5,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:b1592396c4d6d498,Claude Opus 5.5 (High),13.78,,False,,high,,11.54,16.02,,1.57,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:d3474ba216efd88d,Claude Code - Opus 5.5 (max),65.9886,,False,Claude Code,max,,,,13.0364,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
anthropic_sonnet55_api::claude-sonnet-5.5,Claude Sonnet 5.5 API,,metered,claude-sonnet-5.5,Claude Sonnet 5.5,,Anthropic,,Claude Sonnet 5.5 API,anthropic,"{'cached': 0.1, 'input': 2.0, 'output': 10.0, 'currency': 'USD'}",,,0.2095,0.197,1.0635,high,main,platform.claude.com/docs/en/about-claude/pricing；2026-09-28 发布价 cache read $0.20（同 Sonnet 5），Haiku 5.5 发布日降至 $0.10=base input×0.05（同 Opus 5.5 口径）；in/out 与写 $2.5/5m 不变；claude-haiku55-round1-2026-10-08.json,标价 cached 0.1/in 2.0/out 10.0、缓存写(5m) $2.5 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）,False,,2026-10-08,official,,highest_archived_reference,4,aa_intelligence_index:40ab71604b0191cd,Claude Sonnet 5.5 (max with fallback),55.978,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_terminal_bench_4:8cbc13578cabcb6a,Artificial Analysis - Claude Sonnet 5.5 (max with fallback),63.6364,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c72d3ba206f54fd5,claude-sonnet-5.5-high,1709,,False,,high,,1693.4,1724.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,aa_coding_agent_index:608ea08d36d3bc63,Claude Code - Sonnet 5.5 (max),68.3578,,False,Claude Code,max,,,,14.1908,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,open_design_arena:5d69f844da6dc80d,Claude Sonnet 5.5,86.8,,False,OpenDesign,,,,,0.573814,,https://open-design.ai/zh/llm-arena-for-design/,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,
anthropic_haiku55_api::claude-haiku-5.5,Claude Haiku 5.5 API,,metered,claude-haiku-5.5,Claude Haiku 5.5,,Anthropic,,Claude Haiku 5.5 API,anthropic,"{'cached': 0.01, 'input': 0.1, 'output': 0.5, 'currency': 'USD'}",,,0.021455,0.0147,1.4595,high,main,platform.claude.com/docs/en/about-claude/pricing；2026-10-08 发布，迄今最便宜最快迷你模型，官方称平均比 Haiku 4.5 便宜 ~75%；≤100K 档 cached $0.01/in $0.10/out $0.50、写 $0.125/5m；>100K 档 5×（cached $0.05/in $0.50/out $2.50、写 $0.625/5m）；按 90/10 分段混合；claude-haiku55-round1-2026-10-08.json,Anthropic 档混合价 $0.021455/MTok＝≤100K 档 $0.015325（cached 0.01/写5m 0.125/out 0.5）×90%＋>100K 档 $0.076625（cached 0.05/写5m 0.625/out 2.5）×10%；每档 × Anthropic 统一负载 97.0%/2.50%/0.50%（普通输入份额按5分钟缓存写入价计）；90/10 为 2026-10-08 裁定的 token 近似（社区说法约 90% 请求 <100K）；纯 ≤100K 口径 $0.015325、50/50 口径 $0.045975 不采,False,,2026-10-08,official,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,
openai_terra_api::gpt-5.6-terra,GPT-5.6 Terra API,,metered,gpt-5.6-terra,GPT 5.6 Terra,,OpenAI,,GPT-5.6 Terra API,standard,"{'cached': 0.2, 'input': 2.0, 'output': 12.0, 'currency': 'USD'}",,,0.304,0.304,1.0,high,main,developers.openai.com,标价 cached 0.2/in 2.0/out 12.0 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,6,aa_intelligence_index:caaac19d5e8e542f,GPT-5.6 Terra (max),42.0829,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:57a5da2cde308af0,Codex - GPT-5.6 Terra (max),21.52,,False,Codex,max,,18.27,24.77,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:4ce13a3cd68939ad,Artificial Analysis - GPT-5.6 Terra (max),35.3535,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:c67b556fb4592ef2,gpt-5.6-terra-xhigh (codex-harness),1519,,False,Codex,xhigh,,1512.4,1525.6,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:96e32efd63046574,GPT 5.6 Terra (xHigh),0.83,,False,,xhigh,,-0.42000000000000004,2.08,,0.43,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:1e9b21c2004faec1,mini-swe-agent - gpt-5-6-terra (max),69.62305986696231,,False,mini-swe-agent,max,,67.06612091651647,72.17999881740815,4.945847263858093,4.114557,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,
openai_luna_api::gpt-5.6-luna,GPT-5.6 Luna API,,metered,gpt-5.6-luna,GPT 5.6 Luna,,OpenAI,,GPT-5.6 Luna API,standard,"{'cached': 0.02, 'input': 0.2, 'output': 1.2, 'currency': 'USD'}",,,0.0304,0.0304,1.0,high,main,developers.openai.com,标价 cached 0.02/in 0.2/out 1.2 × 项目统一标准负载 97.0%/2.50%/0.50%,False,,2026-09-05,official,,highest_archived_reference,6,aa_intelligence_index:6477a68e40370653,GPT-5.6 Luna (max),37.3244,False,False,,max,,,,,,https://artificialanalysis.ai/leaderboards/models,model_configuration_reference,medium,Exact served-model reference; quota-measurement effort is unverified.,,highest_archived_reference,1,terminal_bench_4:0b68373ce672d59b,Codex - GPT-5.6 Luna (max),17.27,,False,Codex,max,,14.42,20.12,,,https://www.tbench.ai/leaderboard,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,6,aa_terminal_bench_4:9c11404866580c5d,Artificial Analysis - GPT-5.6 Luna (max),11.6162,,False,Artificial Analysis,max,,,,,,https://artificialanalysis.ai/leaderboards/models,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_code:fbd75732eebb198a,gpt-5.6-luna-xhigh (codex-harness),1518,,False,Codex,xhigh,,1511.6,1524.4,,,https://arena.ai/leaderboard/code,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,arena_agent_mode:8455f3eb58f47b3d,GPT 5.6 Luna (xHigh),-1.09,,False,,xhigh,,-1.79,-0.3900000000000001,,0.07,https://arena.ai/leaderboard/agent,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,highest_archived_reference,1,aa_coding_agent_index:cdca4b328af5e088,Codex - GPT-5.6 Luna (max),43.2247,,False,Codex,max,,,,0.438,,https://artificialanalysis.ai/agents/coding-agents,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,,,0,,,,,,,,,,,,,,,,,,highest_archived_reference,5,deepswe_1_1:7ad5b83041495e4d,mini-swe-agent - gpt-5-6-luna (max),67.1875,,False,mini-swe-agent,max,,63.19549876432895,71.17950123567105,3.028116810267857,2.2920917999999997,https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json,agent_configuration_reference,low,Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.,