LegalBench
Models do 162 legal reasoning tasks written by legal professionals, covering six types of legal reasoning such as issue spotting and rule application.
Vals AI runs it on 151 models. Claude Fable 5 led at 88.56% on 2026-10-13.
In the authors’ words
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable greater study of this question, we present LegalBench: a collaboratively constructed legal reasoning benchmark consisting of 162 tasks covering six different types of legal reasoning. LegalBench was built through an interdisciplinary process, in which we collected tasks designed and hand-crafted by legal professionals. Because these subject matter experts took a leading role in construction, tasks either measure legal reasoning capabilities that are practically useful, or measure reasoning skills that lawyers find interesting. To enable cross-disciplinary conversations about LLMs in the law, we additionally show how popular legal frameworks for describing legal reasoning – which distinguish between its many forms – correspond to LegalBench tasks, thus giving lawyers and LLM developers a common vocabulary. This paper describes LegalBench, presents an empirical evaluation of 20 open-source and commercial LLMs, and illustrates the types of research explorations LegalBench enables.
- 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 Fable 5 leads with 88.6%
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 88.6 Claude Fable 5
- 88.5 Claude Fable 5.1
- 88.3
Gemini 4 Argon
- 87.4
Muse Wonder Full
- 87.4
Gemini 3.1 Pro
- 87.3
Gemini 3.7 Flash
- 87.0
Gemini 3 Pro
- 87.0
Gemini 3.8 Flash
- 87.0 GPT-5.6 Sol
- 87.0 Claude Opus 5
- 86.9
Gemini 3 Flash
- 86.7
Gemini 3.6 Flash
- 86.5 GPT-5.5
- 86.3 Grok 4.6
- 86.2 GLM Legal
- 86.2 Kimi K3
- 86.0 GPT-5.4
- 86.0 GPT-5
- 86.0 Grok 4.5
- 85.7 GPT-5.1
- 85.4
MiniMax-M3
- 85.3 Claude Opus 4.6
- 85.3
Muse Spark 1.2
- 85.3 Claude Opus 4.7
- 85.1 GPT-5.6 Terra
- 85.1
Qwen 3.5 Plus (hosted 397B-A17B)
- 85.0
Muse Spark 1.1
- 84.9
Qwen3.7-Max
- 84.8 GLM-5.3
- 84.7 Kimi K2.6
- 84.6 Claude Opus 4.5
- 84.5 Grok 4.3
- 84.4 GLM-5.1
- 84.4 Grok 4.7
- 84.3
Gemini 2.5 Pro
- 84.3
Qwen 3.5 Flash (hosted 35B-A3B)
- 84.2
Qwen 3.6 Plus
- 84.2
Muse Spark
- 84.1 Claude Sonnet 4.5
- 84.1 GLM-5.2
- 84.1
Gemini 3.5 Flash-Lite
- 84.1 GLM-5
- 84.0 GPT-5.6 Luna
- 84.0
MiniMax-M2.7
- 83.9 GLM-5.3-Flash
- 83.9 Claude Sonnet 5
- 83.8
Gemini 2.5 Flash
- 83.8 o3
- 83.8
Gemini 3.1 Flash-Lite
- 83.8
Tencent Hy4 preview
- 83.6
Qwen 3.8 Max
- 83.6
Gemini 3.5 Flash
- 83.6 Claude Opus 4.8
- 83.5 Claude Opus 4.1
- 83.4 GLM-4.7
- 83.3
DeepSeek V4.1 Flash
- 83.2 Grok 4
- 83.1 Grok-3 mini
- 83.1 GPT-4.1
- 83.1 Claude Opus 4
- 83.1 Mercury 2.5
- 83.0
Inkling-Small
- 83.0 Claude Sonnet 4
- 83.0
Inkling
- 82.8 GPT-5.2
- 82.6
Gemini 2.5 Flash
- 82.6 Grok 3
- 82.5 Claude 3.7 Sonnet
- 82.5 Grok 4.1 Fast
- 82.4
Qwen 3.8 27B
- 82.4
DeepSeek V4 Pro 0813
- 82.2 GPT-4o
- 82.1 Claude Sonnet 4.6
- 82.1
Nemotron 3 Ultra
- 82.0
Gemini 2.5 Flash-Lite
- 81.9
Qwen3-Max
- 81.8 GPT-5 mini
- 81.5 Kimi K2
- 81.2 Claude Haiku 4.5
- 80.8
DeepSeek-V3
- 80.6 Grok 4 Fast
- 80.5 GPT-4 Turbo
- 80.4 o1
- 80.3
DeepSeek-V4-Pro
- 80.2 Kimi K2 Thinking
- 80.2
Qwen3-235B-A22B
- 80.0
MiniMax-M2.5
- 79.7
Cohere Command A
- 79.7
Ling-3.0-flash
- 79.6 GLM-4.6
- 79.4
Qwen2.5-72B
- 79.2 o4-mini
- 79.1
Mistral Large 3
- 78.9 MiMo-V2.5
- 78.4
Gemini 2.0 Flash
- 78.0 GPT-4.1 mini
- 77.9 GPT-5.4 Nano
- 77.8
Llama 4 Maverick
- 77.7 Grok 4.20
- 77.7
DeepSeek V4 Flash 0731
- 77.2
Llama 3.3 70B
- 77.1 MiMo-V2.5-Pro
- 76.1
DeepSeek-V3.2
- 75.9 gpt-oss-120b
- 75.6 GLM-4.5
- 75.5
MiniMax-M2.1
- 75.1
Laguna M.1
- 74.2 Jamba 1.5 Large
- 72.0
Llama 4 Scout
- 72.0 Jamba 1.6 Large
- 71.5 o3-mini
- 71.0
Laguna XS.2
- 70.8 gpt-oss-20b
- 70.3 Claude 3.5 Haiku
- 70.3
Gemini 1.0 Pro
- 69.7 Jamba 1.6 Mini
- 69.6
Qwen2.5-7B
- 69.2
Mistral Small 3.1
- 69.1
Gemini 1.5 Pro
- 68.7
Ling-3.0-flash-Fin
- 68.3
Command R+
- 68.1
Gemma 2 9B
- 68.0
Gemma 2 27B
- 67.3
DeepSeek-R1
- 66.6 Jamba 1.5 Mini
- 64.4 GPT 3.5
- 63.2
Gemini 1.5 Flash
- 62.4
Llama 2-70B
- 62.0
Mistral Medium 3.1
- 61.4
Command A+
- 61.1 GPT-4.1 nano
- 55.8
Mixtral 8x7B
- 54.8
Magistral Medium 1.2
- 53.8
Mistral 7B v0.1
- 53.7
Llama 2-13B
- 51.9
Llama 2-7B
- 50.1 GPT-5 nano
- 40.0
Magistral Small 1.2
- 33.0
Command R (03-2024)
- 1 Claude Fable 5 88.6%
- 2 Claude Fable 5.1 88.5%
- 3
Gemini 4 Argon 88.3%
- 4
Muse Wonder Full 87.4%
- 5
Gemini 3.1 Pro 87.4%
- 6
Gemini 3.7 Flash 87.3%
- 7
Gemini 3 Pro 87%
- 8
Gemini 3.8 Flash 87%
- 9 GPT-5.6 Sol 87%
- 10 Claude Opus 5 87%
- 11
Gemini 3 Flash 86.9%
- 12
Gemini 3.6 Flash 86.7%
- 13 GPT-5.5 86.5%
- 14 Grok 4.6 86.3%
- 15 GLM Legal 86.2%
- 16 Kimi K3 86.2%
- 17 GPT-5.4 xhigh 86%
- 18 GPT-5 86%
- 19 Grok 4.5 86%
- 20 GPT-5.1 85.7%
- 21
MiniMax-M3 85.4%
- 22 Claude Opus 4.6 thinking 85.3%
- 23
Muse Spark 1.2 85.3%
- 24 Claude Opus 4.7 85.3%
- 25 GPT-5.6 Terra 85.1%
- 26
Qwen 3.5 Plus (hosted 397B-A17B) thinking 85.1%
- 27
Muse Spark 1.1 85%
- 28
Qwen3.7-Max 84.9%
- 29 GLM-5.3 84.8%
- 30 Kimi K2.6 84.7%
- 31 Claude Opus 4.5 thinking 84.6%
- 32 Grok 4.3 84.5%
- 33 GLM-5.1 84.4%
- 34 Grok 4.7 84.4%
- 35
Gemini 2.5 Pro Jun 2025 84.3%
- 36
Qwen 3.5 Flash (hosted 35B-A3B) 84.3%
- 37
Qwen 3.6 Plus 84.2%
- 38
Muse Spark 84.2%
- 39 Claude Sonnet 4.5 thinking 84.1%
- 40 GLM-5.2 84.1%
- 41
Gemini 3.5 Flash-Lite 84.1%
- 42 GLM-5 thinking 84.1%
- 43 GPT-5.6 Luna 84%
- 44
MiniMax-M2.7 84%
- 45 GLM-5.3-Flash 83.9%
- 46 Claude Sonnet 5 83.9%
- 47
Gemini 2.5 Flash Apr 2025, non-thinking 83.8%
- 48 o3 83.8%
- 49
Gemini 3.1 Flash-Lite 83.8%
- 50
Tencent Hy4 preview 83.8%
- 51
Qwen 3.8 Max 83.6%
- 52
Gemini 3.5 Flash 83.6%
- 53 Claude Opus 4.8 83.6%
- 54 Claude Opus 4.1 non-thinking 83.5%
- 55 GLM-4.7 83.4%
- 56
DeepSeek V4.1 Flash 83.3%
- 57 Grok 4 83.2%
- 58 Grok-3 mini reasoning 83.1%
- 59 GPT-4.1 83.1%
- 60 Claude Opus 4 non-thinking 83.1%
- 61 Mercury 2.5 83.1%
- 62
Inkling-Small 83%
- 63 Claude Sonnet 4 non-thinking 83%
- 64
Inkling 83%
- 65 GPT-5.2 82.8%
- 66
Gemini 2.5 Flash Sep 2025, thinking 82.6%
- 67 Grok 3 82.6%
- 68 Claude 3.7 Sonnet thinking 82.5%
- 69 Grok 4.1 Fast reasoning 82.5%
- 70
Qwen 3.8 27B 82.4%
- 71
DeepSeek V4 Pro 0813 82.4%
- 72 GPT-4o Aug 2024 82.2%
- 73 Claude Sonnet 4.6 82.1%
- 74
Nemotron 3 Ultra 82.1%
- 75
Gemini 2.5 Flash-Lite Sep 2025, thinking 82%
- 76
Qwen3-Max 81.9%
- 77 GPT-5 mini 81.8%
- 78 Kimi K2 Jul 2025 81.5%
- 79 Claude Haiku 4.5 thinking 81.2%
- 80
DeepSeek-V3 Mar 2025 80.8%
- 81 Grok 4 Fast reasoning 80.6%
- 82 GPT-4 Turbo Apr 2024 80.5%
- 83 o1 80.4%
- 84
DeepSeek-V4-Pro 80.3%
- 85 Kimi K2 Thinking 80.2%
- 86
Qwen3-235B-A22B 80.2%
- 87
MiniMax-M2.5 80%
- 88
Cohere Command A 79.7%
- 89
Ling-3.0-flash 79.7%
- 90 GLM-4.6 79.6%
- 91
Qwen2.5-72B 79.4%
- 92 o4-mini 79.2%
- 93
Mistral Large 3 79.1%
- 94 MiMo-V2.5 78.9%
- 95
Gemini 2.0 Flash Feb 2025 78.4%
- 96 GPT-4.1 mini 78%
- 97 GPT-5.4 Nano 77.9%
- 98
Llama 4 Maverick 77.8%
- 99 Grok 4.20 reasoning 77.7%
- 100
DeepSeek V4 Flash 0731 77.7%
- 101
Llama 3.3 70B 77.2%
- 102 MiMo-V2.5-Pro 77.1%
- 103
DeepSeek-V3.2 thinking 76.1%
- 104 gpt-oss-120b 75.9%
- 105 GLM-4.5 75.6%
- 106
MiniMax-M2.1 75.5%
- 107
Laguna M.1 75.1%
- 108 Jamba 1.5 Large 74.2%
- 109
Llama 4 Scout 72%
- 110 Jamba 1.6 Large 72%
- 111 o3-mini 71.5%
- 112
Laguna XS.2 71%
- 113 gpt-oss-20b 70.8%
- 114 Claude 3.5 Haiku 70.3%
- 115
Gemini 1.0 Pro 70.3%
- 116 Jamba 1.6 Mini 69.7%
- 117
Qwen2.5-7B 69.6%
- 118
Mistral Small 3.1 69.2%
- 119
Gemini 1.5 Pro Sep 2024 69.1%
- 120
Ling-3.0-flash-Fin 68.7%
- 121
Command R+ 68.3%
- 122
Gemma 2 9B 68.1%
- 123
Gemma 2 27B 68%
- 124
DeepSeek-R1 May 2025 67.3%
- 125 Jamba 1.5 Mini 66.6%
- 126 GPT 3.5 64.4%
- 127
Gemini 1.5 Flash Sep 2024 63.2%
- 128
Llama 2-70B 62.4%
- 129
Mistral Medium 3.1 62%
- 130
Command A+ 61.4%
- 131 GPT-4.1 nano 61.1%
- 132
Mixtral 8x7B 55.8%
- 133
Magistral Medium 1.2 54.8%
- 134
Mistral 7B v0.1 53.8%
- 135
Llama 2-13B 53.7%
- 136
Llama 2-7B 51.9%
- 137 GPT-5 nano 50.1%
- 138
Magistral Small 1.2 40%
- 139
Command R (03-2024) 33%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5 | 88.6% | Jun 2026 | Official leaderboard | |
| 2 | Claude Fable 5.1 | 88.5% | Sep 2026 | Official leaderboard | |
| 3 | | 88.3% | Sep 2026 | Official leaderboard | |
| 4 | | 87.4% | Oct 2026 | Official leaderboard | |
| 5 | | 87.4% | Feb 2026 | Official leaderboard | |
| 6 | | 87.3% | Aug 2026 | Official leaderboard | |
| 7 | | 87% | Nov 2025 | Official leaderboard | |
| 8 | | 87% | Sep 2026 | Official leaderboard | |
| 9 | GPT-5.6 Sol | 87% | Jul 2026 | Official leaderboard | |
| 10 | Claude Opus 5 | 87% | Jul 2026 | Official leaderboard | |
| 11 | | 86.9% | Dec 2025 | Official leaderboard | |
| 12 | | 86.7% | Jul 2026 | Official leaderboard | |
| 13 | GPT-5.5 | 86.5% | Apr 2026 | Official leaderboard | |
| 14 | Grok 4.6 | 86.3% | Aug 2026 | Official leaderboard | |
| 15 | GLM Legal | 86.2% | Oct 2026 | Official leaderboard | |
| 16 | Kimi K3 | 86.2% | Jul 2026 | Official leaderboard | |
| 17 | GPT-5.4 | 86% | xhigh | Mar 2026 | Official leaderboard |
| 18 | GPT-5 | 86% | Aug 2025 | Official leaderboard | |
| 19 | Grok 4.5 | 86% | Jul 2026 | Official leaderboard | |
| 20 | GPT-5.1 | 85.7% | Nov 2025 | Official leaderboard | |
| 21 | | 85.4% | Jun 2026 | Official leaderboard | |
| 22 | Claude Opus 4.6 | 85.3% | thinking | Feb 2026 | Official leaderboard |
| 23 | | 85.3% | Aug 2026 | Official leaderboard | |
| 24 | Claude Opus 4.7 | 85.3% | Apr 2026 | Official leaderboard | |
| 25 | GPT-5.6 Terra | 85.1% | Jul 2026 | Official leaderboard | |
| 26 | | 85.1% | thinking | Feb 2026 | Official leaderboard |
| 27 | | 85% | Jul 2026 | Official leaderboard | |
| 28 | | 84.9% | May 2026 | Official leaderboard | |
| 29 | GLM-5.3 | 84.8% | Aug 2026 | Official leaderboard | |
| 30 | Kimi K2.6 | 84.7% | Apr 2026 | Official leaderboard | |
| 31 | Claude Opus 4.5 | 84.6% | thinking | Nov 2025 | Official leaderboard |
| 32 | Grok 4.3 | 84.5% | Apr 2026 | Official leaderboard | |
| 33 | GLM-5.1 | 84.4% | Apr 2026 | Official leaderboard | |
| 34 | Grok 4.7 | 84.4% | Sep 2026 | Official leaderboard | |
| 35 | | 84.3% | Jun 2025 | Official leaderboard | |
| 36 | | 84.3% | Feb 2026 | Official leaderboard | |
| 37 | | 84.2% | Mar 2026 | Official leaderboard | |
| 38 | | 84.2% | Apr 2026 | Official leaderboard | |
| 39 | Claude Sonnet 4.5 | 84.1% | thinking | Sep 2025 | Official leaderboard |
| 40 | GLM-5.2 | 84.1% | Jun 2026 | Official leaderboard | |
| 41 | | 84.1% | Jul 2026 | Official leaderboard | |
| 42 | GLM-5 | 84.1% | thinking | Feb 2026 | Official leaderboard |
| 43 | GPT-5.6 Luna | 84% | Jul 2026 | Official leaderboard | |
| 44 | | 84% | Mar 2026 | Official leaderboard | |
| 45 | GLM-5.3-Flash | 83.9% | Aug 2026 | Official leaderboard | |
| 46 | Claude Sonnet 5 | 83.9% | Jun 2026 | Official leaderboard | |
| 47 | | 83.8% | non-thinking | Apr 2025 | Official leaderboard |
| 48 | o3 | 83.8% | Apr 2025 | Official leaderboard | |
| 49 | | 83.8% | Mar 2026 | Official leaderboard | |
| 50 | | 83.8% | Aug 2026 | Official leaderboard | |
| 51 | | 83.6% | Aug 2026 | Official leaderboard | |
| 52 | | 83.6% | May 2026 | Official leaderboard | |
| 53 | Claude Opus 4.8 | 83.6% | May 2026 | Official leaderboard | |
| 54 | Claude Opus 4.1 | 83.5% | non-thinking | Aug 2025 | Official leaderboard |
| 55 | GLM-4.7 | 83.4% | Dec 2025 | Official leaderboard | |
| 56 | | 83.3% | Sep 2026 | Official leaderboard | |
| 57 | Grok 4 | 83.2% | Jul 2025 | Official leaderboard | |
| 58 | Grok-3 mini | 83.1% | reasoning | Apr 2025 | Official leaderboard |
| 59 | GPT-4.1 | 83.1% | Apr 2025 | Official leaderboard | |
| 60 | Claude Opus 4 | 83.1% | non-thinking | May 2025 | Official leaderboard |
| 61 | Mercury 2.5 | 83.1% | Sep 2026 | Official leaderboard | |
| 62 | | 83% | Jul 2026 | Official leaderboard | |
| 63 | Claude Sonnet 4 | 83% | non-thinking | May 2025 | Official leaderboard |
| 64 | | 83% | Jul 2026 | Official leaderboard | |
| 65 | GPT-5.2 | 82.8% | Dec 2025 | Official leaderboard | |
| 66 | | 82.6% | thinking | Sep 2025 | Official leaderboard |
| 67 | Grok 3 | 82.6% | Apr 2025 | Official leaderboard | |
| 68 | Claude 3.7 Sonnet | 82.5% | thinking | Feb 2025 | Official leaderboard |
| 69 | Grok 4.1 Fast | 82.5% | reasoning | Nov 2025 | Official leaderboard |
| 70 | | 82.4% | Aug 2026 | Official leaderboard | |
| 71 | | 82.4% | Aug 2026 | Official leaderboard | |
| 72 | GPT-4o Aug 2024 | 82.2% | Aug 2024 | Official leaderboard | |
| 73 | Claude Sonnet 4.6 | 82.1% | Feb 2026 | Official leaderboard | |
| 74 | | 82.1% | Jun 2026 | Official leaderboard | |
| 75 | | 82% | thinking | Sep 2025 | Official leaderboard |
| 76 | | 81.9% | Sep 2025 | Official leaderboard | |
| 77 | GPT-5 mini | 81.8% | Aug 2025 | Official leaderboard | |
| 78 | Kimi K2 Jul 2025 | 81.5% | Jul 2025 | Official leaderboard | |
| 79 | Claude Haiku 4.5 | 81.2% | thinking | Oct 2025 | Official leaderboard |
| 80 | | 80.8% | Mar 2025 | Official leaderboard | |
| 81 | Grok 4 Fast | 80.6% | reasoning | Sep 2025 | Official leaderboard |
| 82 | GPT-4 Turbo Apr 2024 | 80.5% | Apr 2024 | Official leaderboard | |
| 83 | o1 | 80.4% | Dec 2024 | Official leaderboard | |
| 84 | | 80.3% | Apr 2026 | Official leaderboard | |
| 85 | Kimi K2 Thinking | 80.2% | Nov 2025 | Official leaderboard | |
| 86 | | 80.2% | Apr 2025 | Official leaderboard | |
| 87 | | 80% | Feb 2026 | Official leaderboard | |
| 88 | | 79.7% | Mar 2025 | Official leaderboard | |
| 89 | | 79.7% | Aug 2026 | Official leaderboard | |
| 90 | GLM-4.6 | 79.6% | Sep 2025 | Official leaderboard | |
| 91 | | 79.4% | Sep 2024 | Official leaderboard | |
| 92 | o4-mini | 79.2% | Apr 2025 | Official leaderboard | |
| 93 | | 79.1% | Dec 2025 | Official leaderboard | |
| 94 | MiMo-V2.5 | 78.9% | Apr 2026 | Official leaderboard | |
| 95 | | 78.4% | Feb 2025 | Official leaderboard | |
| 96 | GPT-4.1 mini | 78% | Apr 2025 | Official leaderboard | |
| 97 | GPT-5.4 Nano | 77.9% | Mar 2026 | Official leaderboard | |
| 98 | | 77.8% | Apr 2025 | Official leaderboard | |
| 99 | Grok 4.20 | 77.7% | reasoning | Feb 2026 | Official leaderboard |
| 100 | | 77.7% | Jul 2026 | Official leaderboard | |
| 101 | | 77.2% | Dec 2024 | Official leaderboard | |
| 102 | MiMo-V2.5-Pro | 77.1% | Apr 2026 | Official leaderboard | |
| 103 | | 76.1% | thinking | Dec 2025 | Official leaderboard |
| 104 | gpt-oss-120b | 75.9% | Aug 2025 | Official leaderboard | |
| 105 | GLM-4.5 | 75.6% | Aug 2025 | Official leaderboard | |
| 106 | | 75.5% | Dec 2025 | Official leaderboard | |
| 107 | | 75.1% | Apr 2026 | Official leaderboard | |
| 108 | Jamba 1.5 Large | 74.2% | Aug 2024 | Official leaderboard | |
| 109 | | 72% | Apr 2025 | Official leaderboard | |
| 110 | Jamba 1.6 Large | 72% | Mar 2025 | Official leaderboard | |
| 111 | o3-mini | 71.5% | Jan 2025 | Official leaderboard | |
| 112 | | 71% | Apr 2026 | Official leaderboard | |
| 113 | gpt-oss-20b | 70.8% | Aug 2025 | Official leaderboard | |
| 114 | Claude 3.5 Haiku | 70.3% | Oct 2024 | Official leaderboard | |
| 115 | | 70.3% | Dec 2023 | Official leaderboard | |
| 116 | Jamba 1.6 Mini | 69.7% | Mar 2025 | Official leaderboard | |
| 117 | | 69.6% | Sep 2024 | Official leaderboard | |
| 118 | | 69.2% | Mar 2025 | Official leaderboard | |
| 119 | | 69.1% | Sep 2024 | Official leaderboard | |
| 120 | | 68.7% | Sep 2026 | Official leaderboard | |
| 121 | | 68.3% | Aug 2024 | Official leaderboard | |
| 122 | | 68.1% | Jun 2024 | Official leaderboard | |
| 123 | | 68% | Jun 2024 | Official leaderboard | |
| 124 | | 67.3% | May 2025 | Official leaderboard | |
| 125 | Jamba 1.5 Mini | 66.6% | Aug 2024 | Official leaderboard | |
| 126 | GPT 3.5 | 64.4% | Official leaderboard | ||
| 127 | | 63.2% | Aug 2024 | Official leaderboard | |
| 128 | | 62.4% | Jul 2023 | Official leaderboard | |
| 129 | | 62% | Aug 2025 | Official leaderboard | |
| 130 | | 61.4% | May 2026 | Official leaderboard | |
| 131 | GPT-4.1 nano | 61.1% | Apr 2025 | Official leaderboard | |
| 132 | | 55.8% | Dec 2023 | Official leaderboard | |
| 133 | | 54.8% | Sep 2025 | Official leaderboard | |
| 134 | | 53.8% | Sep 2023 | Official leaderboard | |
| 135 | | 53.7% | Jul 2023 | Official leaderboard | |
| 136 | | 51.9% | Jul 2023 | Official leaderboard | |
| 137 | GPT-5 nano | 50.1% | Aug 2025 | Official leaderboard | |
| 138 | | 40% | Sep 2025 | Official leaderboard | |
| 139 | | 33% | Mar 2024 | Official leaderboard |
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
13 models have held number one since its release in Aug 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Aug 2025
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 Law, finance and medicine
- HealthBench Professional In use 525 physician-authored tasks from real clinician chats (care consult, documentation, research) with physician-adjudicated rubrics. Claude Sonnet 5.5 69.2%
- MedXpertQA-MM In use Models answer expert-level medical exam questions that combine images with clinical records and test results. Scoring is accuracy.
Qwen 3.8 Max 80.4%
- HealthBench In use 5,000 realistic health conversations graded against physician-written rubrics. A length-adjusted variant penalizes verbosity. GPT-5 67.2%
- KBL In use Models answer Korean legal knowledge and reasoning tasks and Korean bar exam questions. It has 7 knowledge tasks, 4 reasoning tasks and 2,510 bar exam items.
Solar Pro 4 77.5%
- KorMedMCQA In use Models answer 7,469 multiple-choice questions from Korean licensing exams for doctors, nurses, pharmacists and dentists, held from 2012 to 2024.
Solar Pro 4 93.2%
- PRBench In use Model answers 1,100 expert-written law and finance questions. LLM judge grades against weighted expert rubrics of 10-30 criteria each.
Muse Spark 1.3 61.6%