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   "deepswe_1_1__score_is_estimated": null,
   "deepswe_1_1__score_is_self_reported": false,
   "deepswe_1_1__agent_harness": "mini-swe-agent",
   "deepswe_1_1__reasoning_effort": "max",
   "deepswe_1_1__service_mode": null,
   "deepswe_1_1__score_low": 69.83684441682949,
   "deepswe_1_1__score_high": 75.49648891650385,
   "deepswe_1_1__mean_cost_usd_per_task": 8.386436346666667,
   "deepswe_1_1__median_cost_usd_per_task": 6.8414715,
   "deepswe_1_1__source": "https://deepswe.datacurve.ai/artifacts/v1.1/leaderboard-live.json",
   "deepswe_1_1__mapping_kind": "agent_configuration_reference",
   "deepswe_1_1__mapping_confidence": "low",
   "deepswe_1_1__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "deepswe_1_1__quota_effort_matched": null
  },
  {
   "id": "chatgpt_pro_20x::gpt-5.6-sol",
   "plan": "ChatGPT Pro 20x",
   "plan_en": null,
   "billing": "subscription",
   "model": "gpt-5.6-sol",
   "model_display": "GPT 5.6 Sol",
   "plan_gen": "",
   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT 5.6 Sol · ChatGPT Pro 20x",
   "workload": "measured",
   "list_price": {
    "cached": 0.4,
    "input": 4.0,
    "output": 20.0,
    "currency": "USD"
   },
   "price_usd": 200.0,
   "monthly_yi": 129.02,
   "real_usd_per_mtok": 0.015501473,
   "list_blended_usd_per_mtok": 0.588,
   "d": 0.0264,
   "confidence": "high",
   "tier": "main",
   "source": "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",
   "note": "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",
   "unmetered": false,
   "promo_until": null,
   "data_date": "2026-06-10~2026-09-06",
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   "aa_terminal_bench_4__selection": "highest_archived_reference",
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   "aa_terminal_bench_4__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "aa_terminal_bench_4__quota_effort_matched": null,
   "arena_code__selection": "highest_archived_reference",
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   "arena_code__mapping_confidence": "low",
   "arena_code__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "arena_code__quota_effort_matched": null,
   "arena_agent_mode__selection": "highest_archived_reference",
   "arena_agent_mode__configuration_count": 1,
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   "arena_agent_mode__score_is_self_reported": false,
   "arena_agent_mode__agent_harness": null,
   "arena_agent_mode__reasoning_effort": "xhigh",
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   "arena_agent_mode__mapping_confidence": "low",
   "arena_agent_mode__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "arena_agent_mode__quota_effort_matched": null,
   "aa_coding_agent_index__selection": "highest_archived_reference",
   "aa_coding_agent_index__configuration_count": 1,
   "aa_coding_agent_index__configuration_id": "aa_coding_agent_index:538ede13f4f0982c",
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   "aa_coding_agent_index__mapping_confidence": "low",
   "aa_coding_agent_index__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "aa_coding_agent_index__quota_effort_matched": null,
   "open_design_arena__selection": "highest_archived_reference",
   "open_design_arena__configuration_count": 1,
   "open_design_arena__configuration_id": "open_design_arena:048a6b75c77d30fe",
   "open_design_arena__variant": "GPT-5.6 Sol",
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   "open_design_arena__agent_harness": "OpenDesign",
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   "open_design_arena__mapping_confidence": "low",
   "open_design_arena__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "open_design_arena__quota_effort_matched": null,
   "deepswe_1_1__selection": "highest_archived_reference",
   "deepswe_1_1__configuration_count": 5,
   "deepswe_1_1__configuration_id": "deepswe_1_1:b7fe36ffe2e53058",
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   "deepswe_1_1__mapping_kind": "agent_configuration_reference",
   "deepswe_1_1__mapping_confidence": "low",
   "deepswe_1_1__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "deepswe_1_1__quota_effort_matched": null
  },
  {
   "id": "chatgpt_plus::gpt-5.6-luna",
   "plan": "ChatGPT Plus",
   "plan_en": null,
   "billing": "subscription",
   "model": "gpt-5.6-luna",
   "model_display": "GPT 5.6 Luna",
   "plan_gen": "",
   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT 5.6 Luna · ChatGPT Plus",
   "workload": "standard",
   "list_price": {
    "cached": 0.02,
    "input": 0.2,
    "output": 1.2,
    "currency": "USD"
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   "price_usd": 20.0,
   "monthly_yi": 70.58,
   "real_usd_per_mtok": 0.0028336639,
   "list_blended_usd_per_mtok": 0.0304,
   "d": 0.0932,
   "confidence": "high",
   "tier": "main",
   "source": "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",
   "note": "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%",
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   "promo_until": null,
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   "terminal_bench_4__quota_effort_matched": null,
   "aa_terminal_bench_4__selection": "highest_archived_reference",
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   "arena_code__configuration_count": 1,
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   "arena_code__mapping_confidence": "low",
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   "arena_agent_mode__selection": "highest_archived_reference",
   "arena_agent_mode__configuration_count": 1,
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   "aa_coding_agent_index__selection": "highest_archived_reference",
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   "deepswe_1_1__score_is_self_reported": false,
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   "deepswe_1_1__reasoning_effort": "max",
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   "deepswe_1_1__score_high": 71.17950123567105,
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   "deepswe_1_1__median_cost_usd_per_task": 2.2920917999999997,
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   "deepswe_1_1__mapping_kind": "agent_configuration_reference",
   "deepswe_1_1__mapping_confidence": "low",
   "deepswe_1_1__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "deepswe_1_1__quota_effort_matched": null
  },
  {
   "id": "chatgpt_plus::gpt-6-astra",
   "plan": "ChatGPT Plus",
   "plan_en": null,
   "billing": "subscription",
   "model": "gpt-6-astra",
   "model_display": "GPT-6 Astra",
   "plan_gen": "",
   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT-6 Astra · ChatGPT Plus",
   "workload": "measured",
   "list_price": null,
   "price_usd": 20.0,
   "monthly_yi": 1.59,
   "real_usd_per_mtok": 0.12578616,
   "list_blended_usd_per_mtok": null,
   "d": null,
   "confidence": "high",
   "tier": "main",
   "source": "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",
   "note": "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",
   "unmetered": false,
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   "terminal_bench_4__mapping_confidence": "low",
   "terminal_bench_4__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
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   "aa_terminal_bench_4__selection": "highest_archived_reference",
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   "aa_terminal_bench_4__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
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   "arena_code__mapping_confidence": "low",
   "arena_code__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "arena_code__quota_effort_matched": null,
   "arena_agent_mode__selection": "highest_archived_reference",
   "arena_agent_mode__configuration_count": 1,
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   "arena_agent_mode__mapping_confidence": "low",
   "arena_agent_mode__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "arena_agent_mode__quota_effort_matched": null,
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   "aa_coding_agent_index__configuration_count": 2,
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   "aa_coding_agent_index__mapping_confidence": "low",
   "aa_coding_agent_index__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "aa_coding_agent_index__quota_effort_matched": null,
   "open_design_arena__selection": "highest_archived_reference",
   "open_design_arena__configuration_count": 1,
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   "open_design_arena__mapping_kind": "agent_configuration_reference",
   "open_design_arena__mapping_confidence": "low",
   "open_design_arena__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "open_design_arena__quota_effort_matched": null,
   "deepswe_1_1__selection": "highest_archived_reference",
   "deepswe_1_1__configuration_count": 5,
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   "deepswe_1_1__reasoning_effort": "xhigh",
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   "deepswe_1_1__median_cost_usd_per_task": 5.6717151,
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   "deepswe_1_1__mapping_kind": "agent_configuration_reference",
   "deepswe_1_1__mapping_confidence": "low",
   "deepswe_1_1__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "deepswe_1_1__quota_effort_matched": null
  },
  {
   "id": "chatgpt_plus::gpt-6-sol",
   "plan": "ChatGPT Plus",
   "plan_en": null,
   "billing": "subscription",
   "model": "gpt-6-sol",
   "model_display": "GPT-6 Sol",
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   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT-6 Sol · ChatGPT Plus",
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   "list_price": null,
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   "monthly_yi": 11.0,
   "real_usd_per_mtok": 0.018181818,
   "list_blended_usd_per_mtok": null,
   "d": null,
   "confidence": "high",
   "tier": "main",
   "source": "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",
   "note": "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",
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   "aa_terminal_bench_4__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "aa_terminal_bench_4__quota_effort_matched": null,
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   "arena_code__mapping_confidence": "low",
   "arena_code__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "arena_code__quota_effort_matched": null,
   "arena_agent_mode__selection": "highest_archived_reference",
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   "arena_agent_mode__mapping_confidence": "low",
   "arena_agent_mode__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
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   "aa_coding_agent_index__selection": "highest_archived_reference",
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   "aa_coding_agent_index__mapping_confidence": "low",
   "aa_coding_agent_index__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
   "aa_coding_agent_index__quota_effort_matched": null,
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   "open_design_arena__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
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   "model": "gpt-6-luna",
   "model_display": "GPT-6 Luna",
   "plan_gen": "",
   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT-6 Luna · ChatGPT Plus",
   "workload": "standard",
   "list_price": null,
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   "list_blended_usd_per_mtok": null,
   "d": null,
   "confidence": "high",
   "tier": "main",
   "source": "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",
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   "model": "gpt-6.1-sol",
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   "source": "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",
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   "plan_en": null,
   "billing": "subscription",
   "model": "gpt-6-astra",
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   "plan_gen": "",
   "vendor": "OpenAI",
   "local_price": null,
   "label": "GPT-6 Astra · ChatGPT Pro 20x",
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   "list_price": null,
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   "real_usd_per_mtok": 0.052465897,
   "list_blended_usd_per_mtok": null,
   "d": null,
   "confidence": "medium",
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   "vendor": "Anthropic",
   "local_price": null,
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    "input": 4.0,
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   "real_usd_per_mtok": 0.093023256,
   "list_blended_usd_per_mtok": 0.394,
   "d": 0.2361,
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   "plan_en": null,
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   "model": "gemini-3.8-flash",
   "model_display": "Gemini 3.8 Flash",
   "plan_gen": "",
   "vendor": "Google",
   "local_price": null,
   "label": "Gemini 3.8 Flash · Google AI Pro",
   "workload": "lowCache",
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   "list_blended_usd_per_mtok": null,
   "d": null,
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   "tier": "main",
   "source": "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",
   "note": "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。",
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   "open_design_arena__quota_effort_matched": null,
   "deepswe_1_1__selection": "highest_archived_reference",
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   "deepswe_1_1__mapping_note": "Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.",
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  },
  {
   "id": "google_ai_ultra_20x_us::gemini-3.8-flash",
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   "source": "官方：Ultra $200 = 20× Pro token worth（antigravity.google/blog 2026-05-19）",
   "note": "新增516.2亿：Pro采用值×官方worth倍率20；非独立实测",
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   "open_design_arena__selection": "highest_archived_reference",
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  {
   "id": "claude_pro::claude-opus-5",
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   "label": "Claude Opus 5 · Claude Pro",
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   "list_price": {
    "cached": 0.5,
    "input": 5.0,
    "output": 25.0,
    "currency": "USD"
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   "source": "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",
   "note": "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",
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   "note": "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",
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    "output": 20.0,
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   "plan_gen": "",
   "vendor": "Anthropic",
   "local_price": null,
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   "workload": "anthropic",
   "list_price": {
    "cached": 0.2,
    "input": 4.0,
    "output": 20.0,
    "currency": "USD"
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   "price_usd": 20.0,
   "monthly_yi": 30.54,
   "real_usd_per_mtok": 0.0065487885,
   "list_blended_usd_per_mtok": 0.394,
   "d": 0.0166,
   "confidence": "high",
   "tier": "main",
   "source": "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",
   "note": "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。",
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