Anthropic, released Nov 1, 2025

Claude Opus 4.5price, context, benchmarks and release details

Provisional: not enough results to rank yet 100% confidence 100 percent, Full confidence, 7 of 8 expected sources in
62.6
SI Score
#50 of 142 ranked models
Input, per 1M tokens
$5.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.anthropic.com/en/docs/about-claude/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; anthropic/claude-opus-4-5-20251101 Retrieved Oct 9, 2026 · MIT
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Output, per 1M tokens
$25.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.anthropic.com/en/docs/about-claude/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; anthropic/claude-opus-4-5-20251101 Retrieved Oct 9, 2026 · MIT
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Context window
200Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Max output
64Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Released
Nov 1, 2025models.devPublished source fact Retrieved Oct 9, 2026 · MIT
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How the score breaks down

Coding (weight 40 percent) 57.1
Math (weight 15 percent) 65.6
Preference (weight 15 percent) 77.6
Reasoning (weight 30 percent) 63.6

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

  1. 48 Qwen3.7 Plus 62.7
  2. 49 Qwen3.5 35B-A3B 62.7
  3. 50 Claude Opus 4.5 62.6
  4. 51 MiMo-V2.5-Pro 62.6
  5. 52 Muse Spark 1.2 62.3

Full leaderboard

Benchmark results

28 benchmarks, 46 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

ARC-AGI-1 (public eval)reasoning 86.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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86.6 4 settings
  • Setting 1 81.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 2 86.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 3 70.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 4 52.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
    Open source ↗
About ARC-AGI-1 (public eval)
ARC-AGI-1 (semi-private)reasoning 80%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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80.0 5 settings
  • Setting 1 72%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 2 75.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 3 80%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 4 58.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 5 40%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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About ARC-AGI-1 (semi-private)
ARC-AGI-2 (public eval)reasoning 28.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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28.1 4 settings
  • Setting 1 24.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 2 28.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-32kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 3 10.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 4 7.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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About ARC-AGI-2 (public eval)
ARC-AGI-2 (semi-private)reasoning 37.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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37.6 4 settings
  • Setting 1 22.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-16kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 2 37.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-64kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 3 13.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-8kPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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  • Setting 4 7.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] claude-opus-4-5-20251101-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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About ARC-AGI-2 (semi-private)
GPQA Diamondreasoning 86.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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86.0 3 settings
  • 16K thinking 85.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Nov 25, 2025 Retrieved Oct 9, 2026 · CC-BY
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  • 32K thinking 86.0%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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  • Setting 3 80.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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About GPQA Diamond
Humanity's Last Exam (Scale AI)reasoning 14.2%Humanity’s Last ExamPotential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. [variant] Published Nov 26, 2025 Retrieved Oct 9, 2026 · factual citation
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14.2
LiveBench Reasoning: connectionsreasoning 99.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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99.3
LiveBench Reasoning: consecutive eventsreasoning 79.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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79.4
LiveBench Reasoning: logic with navigationreasoning 68%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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68.0
LiveBench Reasoning: spatialreasoning 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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96.0
LiveBench Reasoning: theory of mindreasoning 78.8%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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78.8
LiveBench Reasoning: zebra puzzlesreasoning 77.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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77.5
FrontierMath Tier 4 (v2)math 4.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Jun 11, 2026 Retrieved Oct 9, 2026 · CC-BY
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4.9
FrontierMath Tiers 1–3 (v2)math 34.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Jun 11, 2026 Retrieved Oct 9, 2026 · CC-BY
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34.4
LiveBench Math: AMPS Hardmath 99%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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99.0
LiveBench Math: competition mathmath 95.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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95.1
LiveBench Math: integralsmath 78%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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78.0
LiveBench Math: olympiadmath 89.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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89.5
LiveBench Math: simplifymath 55.0%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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55.0
OTIS Mock AIME 2024–2025math 86.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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86.1 3 settings
  • 16K thinking 81.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 16KPublished Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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  • 32K thinking 86.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] 32KPublished Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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  • Setting 3 48.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Nov 24, 2025 Retrieved Oct 9, 2026 · CC-BY
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About OTIS Mock AIME 2024–2025
LiveBench Coding: code completioncoding 80.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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80.4
LiveBench Coding: code generationcoding 78.9%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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78.9
LiveBench Coding: JavaScriptcoding 59.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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59.1
LiveBench Coding: Pythoncoding 40%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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40.0
LiveBench Coding: TypeScriptcoding 20%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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20.0
SWE-bench Pro (public)coding 45.9%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] public Retrieved Oct 9, 2026 · factual citation; MIT transcription
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45.9 2 settings
  • Setting 1 45.9%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] public Retrieved Oct 9, 2026 · factual citation; MIT transcription
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  • Setting 2 23.4%SWE-bench Pro (public)Published steward score [variant] Published Jan 12, 2026 Retrieved Oct 9, 2026 · factual citation
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About SWE-bench Pro (public)
SWE-bench Verifiedcoding 76.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 5, 2026 Retrieved Oct 9, 2026 · CC-BY
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76.7
LMArena Textpreference 1448.3 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
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77.6

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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License
not yet reported
Input modalities
text, image, pdfmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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First seen by SuperIndex
Oct 8, 2026
Coverage
94% of expected source weight

Reported (7)

  • ARC PrizeOct 8, 2026
  • Epoch AI BenchmarkingOct 8, 2026
  • Humanity’s Last ExamOct 8, 2026
  • Official model cards via models.devOct 8, 2026
  • LiveBenchOct 8, 2026
  • LMArena / ArenaOct 8, 2026
  • SWE-bench Pro (public)Oct 8, 2026

Awaiting (1)

  • Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.

What changed

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