LMCA
Models rate arguments against position texts on philosophy, decision theory, and AI risk. Scored by agreement with expert ratings, with a ceiling near 85.
Same benchmark as the lmca record, from the same arXiv paper 2607.27499.
In the authors’ words
Large language models have improved rapidly on tasks with verifiable answers, such as mathematics and programming. Much less is known about their ability to reason about what we call conceptual questions: questions for which no ground truth is realistically accessible and no widely accepted resolution methodology exists, but on which progress can still be made by debating arguments. Most philosophical questions are of this kind, as are central components of questions in AI safety, decision theory, and social choice. Our approach is based on the view that while bottom-line conclusions on such questions are hard to evaluate, individual contextualized arguments can be evaluated far more reliably. We therefore introduce a dataset of 951 argumentative critiques of 442 position texts, spanning topics from AI safety and decision theory to ethics and politics, with 1,458 ratings by six expert raters along dimensions including centrality, strength, correctness, and clarity. We propose two scoring functions and benchmark a range of models. Performance tracks general capability rankings.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Claude Sonnet 5.5 leads with 68.3%
Best score per model in Epoch AI’s data. Where a model ran with several settings or harnesses, we keep its best.
- 68.3 Claude Sonnet 5.5
- 68.2 Claude Opus 5.5
- 65.5 Claude Fable 5.1
- 64.5 Claude Opus 5
- 64.4 GPT-6 Astra
- 63.7
Gemini 4 Argon
- 62.8 GPT-6.1 Sol
- 61.1 Claude Fable 5
- 59.2 GPT-5.6 Sol
- 59.1 GPT-6 Sol
- 57.5 Claude Opus 4.8
- 56.8
Muse Wonder
- 55.8 Claude Opus 4.6
- 55.5 GLM-5.3
- 55.0 GPT-5.6 Terra
- 54.3 GPT-5.5
- 53.9 GPT-5.5 Pro
- 53.9
Muse Spark 1.3
- 53.8
Gemini 3.1 Pro
- 52.9
Gemini 3.8 Flash
- 52.7 Kimi K3
- 52.2 Claude Opus 4.7
- 52.0 GPT-5.4
- 51.1 Claude Haiku 5.5
- 50.4
Gemini 3.7 Flash
- 50.0 Claude Sonnet 5
- 49.9
Muse Spark 1.1
- 49.4 Grok 4.7
- 48.5 GPT-5.6 Luna
- 48.5 Grok 4.6
- 48.4
Muse Spark 1.2
- 47.1
Gemini 3.5 Flash
- 47.0
DeepSeek V4.1 Flash
- 46.5 Claude Sonnet 4.6
- 46.2
Qwen 3.8 Max
- 45.8 GLM-5.2
- 45.5
DeepSeek V4 Pro 0813
- 45.2 Grok 4.5
- 44.9
Gemini 3.6 Flash
- 44.5 GPT-6 Luna
- 44.5 Claude Opus 4.5
- 44.0
Qwen3.7-Max
- 43.9 GPT-5.2
- 43.9 GPT-5.1
- 43.1
Gemini 3 Flash
- 42.5
Qwen 3.6 Max (Preview)
- 41.7
DeepSeek V4 Flash 0731
- 41.4
Qwen 3.8 27B
- 41.2
DeepSeek-V4-Pro
- 40.8 GPT-5.4 Mini
- 40.0 GPT-5
- 39.7 o3
- 39.3
Gemma 4 31B IT
- 38.8 Claude Sonnet 4.5
- 38.7 Grok 4.20
- 38.5 o3-pro
- 38.3 Grok 4.3 Beta
- 37.9
Qwen3.5 397B-A17B
- 37.6
Gemini 3.5 Flash-Lite
- 37.6
Qwen3.7-Plus
- 37.6
Inkling
- 37.4 Claude Opus 4
- 37.3 Kimi K2.6
- 37.1 Claude Opus 4.1
- 36.9
Nemotron 3 Ultra
- 36.9 GPT-5.4 Nano
- 36.4
Qwen 3.5 Plus (hosted 397B-A17B)
- 35.9
DeepSeek-V4-Flash
- 35.8
Mistral Large 4
- 35.0
Gemini 3.1 Flash-Lite
- 34.8
Gemini 2.5 Pro
- 34.5
Qwen3.6 27B
- 34.2 GPT-5 mini
- 34.0
Qwen3.5-27B
- 33.7
MiniMax-M3
- 33.1
Qwen 3.6 Plus
- 32.2
Qwen3.5-122B-A10B
- 31.0
Qwen 3.6 Flash
- 30.9 Claude Haiku 4.5
- 29.7
Qwen 3.6 35B-A3B
- 29.7
Gemma 4 26B A4B
- 29.5 MiMo-V2.5-Pro
- 29.5
Qwen3.5-35B-A3B
- 29.3
Qwen3-235B-A22B-Thinking
- 29.1
Qwen 3.5 Flash (hosted 35B-A3B)
- 29.1
DeepSeek-V3.2-Exp
- 29.0 Claude Sonnet 4
- 28.8
DeepSeek-V3.2
- 28.6
DeepSeek-V3.1-Terminus
- 28.3
Qwen3-Max
- 27.5
Gemini 2.5 Flash
- 26.5 o4-mini
- 26.1
Mistral Medium 3.5
- 25.6 GPT-4.1
- 25.0
Qwen3-235B-A22B
- 24.5
Qwen3.5-9B
- 24.3
DeepSeek-V3.1
- 24.0
Qwen Plus
- 23.5
Qwen3-235B-A22B-Instruct
- 22.4
Qwen3-30B-A3B-Instruct
- 22.3 o1
- 22.1 gpt-oss-120b
- 21.1 GPT-4.1 mini
- 20.6
Mistral Small 4
- 19.5
Qwen3-30B-A3B-Thinking
- 19.1
Mistral Medium 3.1
- 19.0 o3-mini
- 18.2
Qwen3-14B
- 18.1
Gemini 2.5 Flash-Lite
- 17.5
Llama 3.3 70B
- 17.3
Qwen3-32B
- 17.1 GPT-4
- 17.0 Claude 3 Opus
- 16.7
Mistral Large 3
- 16.6 GPT-4o
- 15.9
Llama 4 Maverick
- 15.8
Qwen3-30B-A3B
- 15.5
DeepSeek-V3
- 14.8
Llama 3.1-70B
- 14.5 gpt-oss-20b
- 13.4
Qwen2.5-72B
- 12.3
Gemma 3 27B
- 12.0
Llama 4 Scout
- 10.4 GPT-4o mini
- 10.3
Cohere Command A
- 9.78 GPT-4 Turbo
- 9.65 GPT-3.5 Turbo
- 9.19 c4ai-command-r-08-2024
- 8.84 Claude 3 Haiku
- 8.82
Qwen3-8B
- 7.93 GPT-5 nano
- 7.10
Gemma 2 27B
- 6.42
Qwen2.5-7B
- 5.48
Ministral 3B
- 5.46 GPT-4.1 nano
- 5.37
Llama 3.1-8B
- 5.01
Command R+
- 4.46
Gemma 3 12B
- 2.78
Gemma 3 4B
- 1 Claude Sonnet 5.5 max 68.3%
- 2 Claude Opus 5.5 max 68.2%
- 3 Claude Fable 5.1 65.5%
- 4 Claude Opus 5 xhigh 64.5%
- 5 GPT-6 Astra xhigh 64.4%
- 6
Gemini 4 Argon high 63.7%
- 7 GPT-6.1 Sol max 62.8%
- 8 Claude Fable 5 high 61.1%
- 9 GPT-5.6 Sol pro, max 59.2%
- 10 GPT-6 Sol max 59.1%
- 11 Claude Opus 4.8 max 57.5%
- 12
Muse Wonder 56.8%
- 13 Claude Opus 4.6 max 55.8%
- 14 GLM-5.3 unknown thinking 55.5%
- 15 GPT-5.6 Terra max 55%
- 16 GPT-5.5 xhigh 54.3%
- 17 GPT-5.5 Pro xhigh 53.9%
- 18
Muse Spark 1.3 53.9%
- 19
Gemini 3.1 Pro high 53.8%
- 20
Gemini 3.8 Flash medium 52.9%
- 21 Kimi K3 max 52.7%
- 22 Claude Opus 4.7 max 52.2%
- 23 GPT-5.4 xhigh 52%
- 24 Claude Haiku 5.5 max 51.1%
- 25
Gemini 3.7 Flash high 50.4%
- 26 Claude Sonnet 5 high 50%
- 27
Muse Spark 1.1 high 49.9%
- 28 Grok 4.7 xhigh 49.4%
- 29 GPT-5.6 Luna max 48.5%
- 30 Grok 4.6 xhigh 48.5%
- 31
Muse Spark 1.2 xhigh 48.4%
- 32
Gemini 3.5 Flash high 47.1%
- 33
DeepSeek V4.1 Flash 47%
- 34 Claude Sonnet 4.6 max 46.5%
- 35
Qwen 3.8 Max xhigh 46.2%
- 36 GLM-5.2 max 45.8%
- 37
DeepSeek V4 Pro 0813 45.5%
- 38 Grok 4.5 high 45.2%
- 39
Gemini 3.6 Flash high 44.9%
- 40 GPT-6 Luna max 44.5%
- 41 Claude Opus 4.5 high 44.5%
- 42
Qwen3.7-Max 44%
- 43 GPT-5.2 xhigh 43.9%
- 44 GPT-5.1 high 43.9%
- 45
Gemini 3 Flash high 43.1%
- 46
Qwen 3.6 Max (Preview) 42.5%
- 47
DeepSeek V4 Flash 0731 max 41.7%
- 48
Qwen 3.8 27B 41.4%
- 49
DeepSeek-V4-Pro max 41.2%
- 50 GPT-5.4 Mini xhigh 40.8%
- 51 GPT-5 high 40%
- 52 o3 high 39.7%
- 53
Gemma 4 31B IT 39.3%
- 54 Claude Sonnet 4.5 unknown thinking 38.8%
- 55 Grok 4.20 38.7%
- 56 o3-pro high 38.5%
- 57 Grok 4.3 Beta high 38.3%
- 58
Qwen3.5 397B-A17B 37.9%
- 59
Gemini 3.5 Flash-Lite high 37.6%
- 60
Qwen3.7-Plus 37.6%
- 61
Inkling xhigh 37.6%
- 62 Claude Opus 4 37.4%
- 63 Kimi K2.6 37.3%
- 64 Claude Opus 4.1 unknown thinking 37.1%
- 65
Nemotron 3 Ultra 36.9%
- 66 GPT-5.4 Nano xhigh 36.9%
- 67
Qwen 3.5 Plus (hosted 397B-A17B) 36.4%
- 68
DeepSeek-V4-Flash max 35.9%
- 69
Mistral Large 4 35.8%
- 70
Gemini 3.1 Flash-Lite high 35%
- 71
Gemini 2.5 Pro Jun 2025 34.8%
- 72
Qwen3.6 27B 34.5%
- 73 GPT-5 mini high 34.2%
- 74
Qwen3.5-27B 34%
- 75
MiniMax-M3 33.7%
- 76
Qwen 3.6 Plus 2026-04-02 33.1%
- 77
Qwen3.5-122B-A10B none 32.2%
- 78
Qwen 3.6 Flash 2026-04-16 31%
- 79 Claude Haiku 4.5 unknown thinking 30.9%
- 80
Qwen 3.6 35B-A3B 29.7%
- 81
Gemma 4 26B A4B 29.7%
- 82 MiMo-V2.5-Pro 29.5%
- 83
Qwen3.5-35B-A3B 29.5%
- 84
Qwen3-235B-A22B-Thinking Jul 2025 29.3%
- 85
Qwen 3.5 Flash (hosted 35B-A3B) 29.1%
- 86
DeepSeek-V3.2-Exp thinking 29.1%
- 87 Claude Sonnet 4 unknown thinking 29%
- 88
DeepSeek-V3.2 Thinking; Novita 28.8%
- 89
DeepSeek-V3.1-Terminus 28.6%
- 90
Qwen3-Max 28.3%
- 91
Gemini 2.5 Flash Jun 2025 27.5%
- 92 o4-mini high 26.5%
- 93
Mistral Medium 3.5 26.1%
- 94 GPT-4.1 25.6%
- 95
Qwen3-235B-A22B 25%
- 96
Qwen3.5-9B 24.5%
- 97
DeepSeek-V3.1 thinking 24.3%
- 98
Qwen Plus Apr 2025 24%
- 99
Qwen3-235B-A22B-Instruct Jul 2025 23.5%
- 100
Qwen3-30B-A3B-Instruct Jul 2025 22.4%
- 101 o1 high 22.3%
- 102 gpt-oss-120b high 22.1%
- 103 GPT-4.1 mini 21.1%
- 104
Mistral Small 4 20.6%
- 105
Qwen3-30B-A3B-Thinking Jul 2025 19.5%
- 106
Mistral Medium 3.1 19.1%
- 107 o3-mini high 19%
- 108
Qwen3-14B 18.2%
- 109
Gemini 2.5 Flash-Lite Jun 2025 18.1%
- 110
Llama 3.3 70B 17.5%
- 111
Qwen3-32B 17.3%
- 112 GPT-4 Jun 2023 17.1%
- 113 Claude 3 Opus 17%
- 114
Mistral Large 3 16.7%
- 115 GPT-4o May 2024 16.6%
- 116
Llama 4 Maverick 15.9%
- 117
Qwen3-30B-A3B 15.8%
- 118
DeepSeek-V3 Mar 2025 15.5%
- 119
Llama 3.1-70B 14.8%
- 120 gpt-oss-20b high 14.5%
- 121
Qwen2.5-72B 13.4%
- 122
Gemma 3 27B 12.3%
- 123
Llama 4 Scout 12%
- 124 GPT-4o mini 10.4%
- 125
Cohere Command A 10.3%
- 126 GPT-4 Turbo Nov 2023 9.78%
- 127 GPT-3.5 Turbo Jan 2024 9.65%
- 128 c4ai-command-r-08-2024 9.19%
- 129 Claude 3 Haiku 8.84%
- 130
Qwen3-8B 8.82%
- 131 GPT-5 nano high 7.93%
- 132
Gemma 2 27B 7.10%
- 133
Qwen2.5-7B 6.42%
- 134
Ministral 3B 5.48%
- 135 GPT-4.1 nano 5.46%
- 136
Llama 3.1-8B 5.37%
- 137
Command R+ 5.01%
- 138
Gemma 3 12B 4.46%
- 139
Gemma 3 4B 2.78%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 68.3% | max | Sep 2026 | Epoch AI |
| 2 | Claude Opus 5.5 | 68.2% | max | Sep 2026 | Epoch AI |
| 3 | Claude Fable 5.1 | 65.5% | Sep 2026 | Epoch AI | |
| 4 | Claude Opus 5 | 64.5% | xhigh | Jul 2026 | Epoch AI |
| 5 | GPT-6 Astra | 64.4% | xhigh | Sep 2026 | Epoch AI |
| 6 | | 63.7% | high | Sep 2026 | Epoch AI |
| 7 | GPT-6.1 Sol | 62.8% | max | Sep 2026 | Epoch AI |
| 8 | Claude Fable 5 | 61.1% | high | Jun 2026 | Epoch AI |
| 9 | GPT-5.6 Sol | 59.2% | pro, max | Jul 2026 | Epoch AI |
| 10 | GPT-6 Sol | 59.1% | max | Sep 2026 | Epoch AI |
| 11 | Claude Opus 4.8 | 57.5% | max | May 2026 | Epoch AI |
| 12 | | 56.8% | Oct 2026 | Epoch AI | |
| 13 | Claude Opus 4.6 | 55.8% | max | Feb 2026 | Epoch AI |
| 14 | GLM-5.3 | 55.5% | unknown thinking | Aug 2026 | Epoch AI |
| 15 | GPT-5.6 Terra | 55% | max | Jul 2026 | Epoch AI |
| 16 | GPT-5.5 | 54.3% | xhigh | Apr 2026 | Epoch AI |
| 17 | GPT-5.5 Pro | 53.9% | xhigh | Apr 2026 | Epoch AI |
| 18 | | 53.9% | Sep 2026 | Epoch AI | |
| 19 | | 53.8% | high | Feb 2026 | Epoch AI |
| 20 | | 52.9% | medium | Sep 2026 | Epoch AI |
| 21 | Kimi K3 | 52.7% | max | Jul 2026 | Epoch AI |
| 22 | Claude Opus 4.7 | 52.2% | max | Apr 2026 | Epoch AI |
| 23 | GPT-5.4 | 52% | xhigh | Mar 2026 | Epoch AI |
| 24 | Claude Haiku 5.5 | 51.1% | max | Oct 2026 | Epoch AI |
| 25 | | 50.4% | high | Aug 2026 | Epoch AI |
| 26 | Claude Sonnet 5 | 50% | high | Jun 2026 | Epoch AI |
| 27 | | 49.9% | high | Jul 2026 | Epoch AI |
| 28 | Grok 4.7 | 49.4% | xhigh | Sep 2026 | Epoch AI |
| 29 | GPT-5.6 Luna | 48.5% | max | Jul 2026 | Epoch AI |
| 30 | Grok 4.6 | 48.5% | xhigh | Aug 2026 | Epoch AI |
| 31 | | 48.4% | xhigh | Aug 2026 | Epoch AI |
| 32 | | 47.1% | high | May 2026 | Epoch AI |
| 33 | | 47% | Sep 2026 | Epoch AI | |
| 34 | Claude Sonnet 4.6 | 46.5% | max | Feb 2026 | Epoch AI |
| 35 | | 46.2% | xhigh | Aug 2026 | Epoch AI |
| 36 | GLM-5.2 | 45.8% | max | Jun 2026 | Epoch AI |
| 37 | | 45.5% | Aug 2026 | Epoch AI | |
| 38 | Grok 4.5 | 45.2% | high | Jul 2026 | Epoch AI |
| 39 | | 44.9% | high | Jul 2026 | Epoch AI |
| 40 | GPT-6 Luna | 44.5% | max | Sep 2026 | Epoch AI |
| 41 | Claude Opus 4.5 | 44.5% | high | Nov 2025 | Epoch AI |
| 42 | | 44% | May 2026 | Epoch AI | |
| 43 | GPT-5.2 | 43.9% | xhigh | Dec 2025 | Epoch AI |
| 44 | GPT-5.1 | 43.9% | high | Nov 2025 | Epoch AI |
| 45 | | 43.1% | high | Dec 2025 | Epoch AI |
| 46 | | 42.5% | Apr 2026 | Epoch AI | |
| 47 | | 41.7% | max | Jul 2026 | Epoch AI |
| 48 | | 41.4% | Aug 2026 | Epoch AI | |
| 49 | | 41.2% | max | Apr 2026 | Epoch AI |
| 50 | GPT-5.4 Mini | 40.8% | xhigh | Mar 2026 | Epoch AI |
| 51 | GPT-5 | 40% | high | Aug 2025 | Epoch AI |
| 52 | o3 | 39.7% | high | Apr 2025 | Epoch AI |
| 53 | | 39.3% | Apr 2026 | Epoch AI | |
| 54 | Claude Sonnet 4.5 | 38.8% | unknown thinking | Sep 2025 | Epoch AI |
| 55 | Grok 4.20 | 38.7% | Feb 2026 | Epoch AI | |
| 56 | o3-pro | 38.5% | high | Jun 2025 | Epoch AI |
| 57 | Grok 4.3 Beta | 38.3% | high | Apr 2026 | Epoch AI |
| 58 | | 37.9% | Feb 2026 | Epoch AI | |
| 59 | | 37.6% | high | Jul 2026 | Epoch AI |
| 60 | | 37.6% | Jun 2026 | Epoch AI | |
| 61 | | 37.6% | xhigh | Jul 2026 | Epoch AI |
| 62 | Claude Opus 4 | 37.4% | May 2025 | Epoch AI | |
| 63 | Kimi K2.6 | 37.3% | Apr 2026 | Epoch AI | |
| 64 | Claude Opus 4.1 | 37.1% | unknown thinking | Aug 2025 | Epoch AI |
| 65 | | 36.9% | Jun 2026 | Epoch AI | |
| 66 | GPT-5.4 Nano | 36.9% | xhigh | Mar 2026 | Epoch AI |
| 67 | | 36.4% | Feb 2026 | Epoch AI | |
| 68 | | 35.9% | max | Apr 2026 | Epoch AI |
| 69 | | 35.8% | Oct 2026 | Epoch AI | |
| 70 | | 35% | high | Mar 2026 | Epoch AI |
| 71 | | 34.8% | Jun 2025 | Epoch AI | |
| 72 | | 34.5% | Apr 2026 | Epoch AI | |
| 73 | GPT-5 mini | 34.2% | high | Aug 2025 | Epoch AI |
| 74 | | 34% | Feb 2026 | Epoch AI | |
| 75 | | 33.7% | Jun 2026 | Epoch AI | |
| 76 | | 33.1% | 2026-04-02 | Mar 2026 | Epoch AI |
| 77 | | 32.2% | none | Feb 2026 | Epoch AI |
| 78 | | 31% | 2026-04-16 | Apr 2026 | Epoch AI |
| 79 | Claude Haiku 4.5 | 30.9% | unknown thinking | Oct 2025 | Epoch AI |
| 80 | | 29.7% | Apr 2026 | Epoch AI | |
| 81 | | 29.7% | Apr 2026 | Epoch AI | |
| 82 | MiMo-V2.5-Pro | 29.5% | Apr 2026 | Epoch AI | |
| 83 | | 29.5% | Feb 2026 | Epoch AI | |
| 84 | | 29.3% | Jul 2025 | Epoch AI | |
| 85 | | 29.1% | Feb 2026 | Epoch AI | |
| 86 | | 29.1% | thinking | Sep 2025 | Epoch AI |
| 87 | Claude Sonnet 4 | 29% | unknown thinking | May 2025 | Epoch AI |
| 88 | | 28.8% | Thinking; Novita | Dec 2025 | Epoch AI |
| 89 | | 28.6% | Sep 2025 | Epoch AI | |
| 90 | | 28.3% | Sep 2025 | Epoch AI | |
| 91 | | 27.5% | Jun 2025 | Epoch AI | |
| 92 | o4-mini | 26.5% | high | Apr 2025 | Epoch AI |
| 93 | | 26.1% | Apr 2026 | Epoch AI | |
| 94 | GPT-4.1 | 25.6% | Apr 2025 | Epoch AI | |
| 95 | | 25% | Apr 2025 | Epoch AI | |
| 96 | | 24.5% | Feb 2026 | Epoch AI | |
| 97 | | 24.3% | thinking | Aug 2025 | Epoch AI |
| 98 | | 24% | Apr 2025 | Epoch AI | |
| 99 | | 23.5% | Jul 2025 | Epoch AI | |
| 100 | | 22.4% | Jul 2025 | Epoch AI | |
| 101 | o1 | 22.3% | high | Dec 2024 | Epoch AI |
| 102 | gpt-oss-120b | 22.1% | high | Aug 2025 | Epoch AI |
| 103 | GPT-4.1 mini | 21.1% | Apr 2025 | Epoch AI | |
| 104 | | 20.6% | Mar 2026 | Epoch AI | |
| 105 | | 19.5% | Jul 2025 | Epoch AI | |
| 106 | | 19.1% | Aug 2025 | Epoch AI | |
| 107 | o3-mini | 19% | high | Jan 2025 | Epoch AI |
| 108 | | 18.2% | Apr 2025 | Epoch AI | |
| 109 | | 18.1% | Jun 2025 | Epoch AI | |
| 110 | | 17.5% | Dec 2024 | Epoch AI | |
| 111 | | 17.3% | Apr 2025 | Epoch AI | |
| 112 | GPT-4 Jun 2023 | 17.1% | Jun 2023 | Epoch AI | |
| 113 | Claude 3 Opus | 17% | Feb 2024 | Epoch AI | |
| 114 | | 16.7% | Dec 2025 | Epoch AI | |
| 115 | GPT-4o May 2024 | 16.6% | May 2024 | Epoch AI | |
| 116 | | 15.9% | Apr 2025 | Epoch AI | |
| 117 | | 15.8% | Apr 2025 | Epoch AI | |
| 118 | | 15.5% | Mar 2025 | Epoch AI | |
| 119 | | 14.8% | Jul 2024 | Epoch AI | |
| 120 | gpt-oss-20b | 14.5% | high | Aug 2025 | Epoch AI |
| 121 | | 13.4% | Sep 2024 | Epoch AI | |
| 122 | | 12.3% | Mar 2025 | Epoch AI | |
| 123 | | 12% | Apr 2025 | Epoch AI | |
| 124 | GPT-4o mini | 10.4% | Jul 2024 | Epoch AI | |
| 125 | | 10.3% | Mar 2025 | Epoch AI | |
| 126 | GPT-4 Turbo Nov 2023 | 9.78% | Nov 2023 | Epoch AI | |
| 127 | GPT-3.5 Turbo Jan 2024 | 9.65% | Jan 2024 | Epoch AI | |
| 128 | c4ai-command-r-08-2024 | 9.19% | Aug 2024 | Epoch AI | |
| 129 | Claude 3 Haiku | 8.84% | Mar 2024 | Epoch AI | |
| 130 | | 8.82% | Apr 2025 | Epoch AI | |
| 131 | GPT-5 nano | 7.93% | high | Aug 2025 | Epoch AI |
| 132 | | 7.10% | Jun 2024 | Epoch AI | |
| 133 | | 6.42% | Sep 2024 | Epoch AI | |
| 134 | | 5.48% | Oct 2024 | Epoch AI | |
| 135 | GPT-4.1 nano | 5.46% | Apr 2025 | Epoch AI | |
| 136 | | 5.37% | Jul 2024 | Epoch AI | |
| 137 | | 5.01% | Aug 2024 | Epoch AI | |
| 138 | | 4.46% | Mar 2025 | Epoch AI | |
| 139 | | 2.78% | Mar 2025 | Epoch AI |
5 models have held number one since its release in Jul 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Other
- Personal Superintelligence Index (Meta) In use Meta's composite of seven personal and knowledge-work evals: Agents' Last Exam, AutomationBench-AA, FocusBench, JobBench, GDP.pdf, VBT and DRACO.
- Artificial Analysis Intelligence Index v5 In use Version 5 of Artificial Analysis's index: nine evaluations in four equal categories, most with private test sets, run three times each in its own agent harness.
Gemini 4 Carbon 59.0
- Anthropic ECI (AECI) Only in system cards Index that combines a basket of capability benchmarks into one capability score to track trends across Anthropic models. Claude Opus 5.5 169.4
- Qwen in-house English automatic evaluation Only in system cards Models answer Qwen in-house English datasets on knowledge, comprehension, coding, math and related skills. Skills and weights change between reports.
Qwen2-72B 72.9%
- Recognition of model-written user turns (Anthropic) Only in system cards Models write synthetic user turns for real Claude Code transcripts, then judge which version is real. Score is accuracy above chance. Claude Mythos Preview 0.35
- LiveBench Dropped Models answer monthly refreshed questions across math, coding, reasoning, language, instruction following, and data analysis. Scored automatically against objective ground truth. Claude Fable 5.1 85.7%