Knowledge & reasoning
HealthBench Professional (raw) leaderboard
As of 2026-10-07, the highest measured score on HealthBench Professional (raw) is 77.1% by Claude Opus 5.5. 193 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Opus 5.5 | 77.1% | measured |
| 2 | Claude Sonnet 5.5 | 77.1% | measured |
| 3 | Claude Fable 5.1 | 74.3% | estimated ± 5.0 pp, medium confidence |
| 4 | Claude Opus 5 | 73.4% | measured |
| 5 | Gemini 4 Argon | 72.9% | estimated ± 5.0 pp, medium confidence |
| 6 | Claude Fable 5 | 71.7% | estimated ± 5.0 pp, medium confidence |
| 7 | GPT-6 Astra | 68.2% | measured |
| 8 | GPT-5.6 Sol | 67.2% | estimated ± 5.0 pp, medium confidence |
| 9 | GPT-6.1 Sol | 67.2% | measured |
| 10 | MiMo-V2.6-Pro | 67.1% | estimated ± 5.0 pp, medium confidence |
| 11 | Claude Opus 4.8 | 66.6% | estimated ± 5.0 pp, medium confidence |
| 12 | Muse Spark 1.3 | 66.6% | estimated ± 5.0 pp, medium confidence |
| 13 | Gemini 3.7 Flash | 66.0% | estimated ± 5.0 pp, medium confidence |
| 14 | Gemini 3.8 Flash | 65.9% | estimated ± 5.0 pp, medium confidence |
| 15 | Gemini 3.1 Pro | 65.2% | estimated ± 5.0 pp, medium confidence |
| 16 | Kimi K3 | 65.2% | estimated ± 5.0 pp, medium confidence |
| 17 | Step 5 Preview | 64.8% | estimated ± 5.0 pp, medium confidence |
| 18 | Muse Spark 1.1 | 64.6% | estimated ± 5.0 pp, medium confidence |
| 19 | GPT-5.5 | 64.3% | estimated ± 5.0 pp, medium confidence |
| 20 | Muse Spark 1.2 | 64.0% | estimated ± 5.0 pp, medium confidence |
| 21 | Claude Haiku 5.5 | 63.1% | estimated ± 5.0 pp, medium confidence |
| 22 | GPT-5.4 | 62.6% | estimated ± 5.0 pp, medium confidence |
| 23 | Grok 4.7 | 62.1% | estimated ± 5.0 pp, medium confidence |
| 24 | Qwen3.8 Max Preview | 62.1% | estimated ± 5.0 pp, medium confidence |
| 25 | Grok 4.20 | 62.0% | estimated ± 5.3 pp, low confidence |
| 26 | GPT-5.6 Terra | 61.9% | estimated ± 5.0 pp, medium confidence |
| 27 | Grok 4.6 | 61.9% | estimated ± 5.0 pp, medium confidence |
| 28 | Gemini 3.5 Flash | 61.7% | estimated ± 5.0 pp, medium confidence |
| 29 | Grok 4.5 | 61.7% | estimated ± 5.0 pp, medium confidence |
| 30 | GPT-5.3 Codex | 61.6% | estimated ± 5.0 pp, medium confidence |
| 31 | Claude Opus 4.7 (Adaptive) | 61.4% | estimated ± 5.0 pp, medium confidence |
| 32 | GLM-5.3 | 61.4% | estimated ± 5.0 pp, medium confidence |
| 33 | GPT-6 Luna | 61.2% | measured |
| 34 | Claude Sonnet 5 | 60.5% | estimated ± 5.0 pp, medium confidence |
| 35 | GLM-5.2 | 60.4% | estimated ± 5.0 pp, medium confidence |
| 36 | DeepSeek V4 Pro 0813 | 60.3% | estimated ± 5.0 pp, medium confidence |
| 37 | Gemini 3.6 Flash | 60.1% | estimated ± 5.0 pp, medium confidence |
| 38 | Muse Spark | 60.0% | estimated ± 5.0 pp, medium confidence |
| 39 | Qwen3.7 Max | 59.9% | estimated ± 5.0 pp, medium confidence |
| 40 | GPT-6 Sol | 59.5% | measured |
| 41 | Claude Opus 4.6 (Adaptive) | 59.3% | estimated ± 5.0 pp, medium confidence |
| 42 | GLM-5.3-Flash | 59.3% | estimated ± 5.0 pp, medium confidence |
| 43 | Gemini 3 Pro | 59.2% | estimated ± 5.0 pp, medium confidence |
| 44 | GPT-5.6 Luna | 59.0% | estimated ± 5.0 pp, medium confidence |
| 45 | Ling 3.1 Flash | 58.9% | estimated ± 5.0 pp, medium confidence |
| 46 | DeepSeek V4.1 Flash | 58.7% | estimated ± 5.0 pp, medium confidence |
| 47 | MiniMax M3 | 58.6% | estimated ± 5.0 pp, medium confidence |
| 48 | DeepSeek V4 Flash 0731 | 58.2% | estimated ± 5.0 pp, medium confidence |
| 49 | Qwen3.8-Flash-Next | 57.7% | estimated ± 5.0 pp, low confidence |
| 50 | GPT-5.2 | 57.4% | estimated ± 5.0 pp, low confidence |
| 51 | Kimi K2.6 | 57.2% | estimated ± 5.0 pp, low confidence |
| 52 | Grok 4.3 | 57.0% | estimated ± 5.0 pp, low confidence |
| 53 | GPT-5.2-Codex | 55.6% | estimated ± 5.0 pp, low confidence |
| 54 | MiMo-V2.5-Pro | 55.6% | estimated ± 5.0 pp, low confidence |
| 55 | Qwen3.7 Plus | 55.5% | estimated ± 5.0 pp, low confidence |
| 56 | MiMo-V2.6-Flash | 55.1% | estimated ± 5.0 pp, low confidence |
| 57 | Kimi K2.7 Code | 55.0% | estimated ± 5.0 pp, low confidence |
| 58 | Mistral Large 4 | 55.0% | estimated ± 5.0 pp, low confidence |
| 59 | Apodex 1.1 | 54.2% | estimated ± 5.0 pp, low confidence |
| 60 | Apodex 1.1 Mini | 54.2% | estimated ± 5.0 pp, low confidence |
| 61 | Qwen3.8-27B | 54.0% | estimated ± 5.0 pp, low confidence |
| 62 | Hy3 | 53.6% | estimated ± 5.0 pp, low confidence |
| 63 | Hy3 Preview | 53.6% | estimated ± 5.0 pp, low confidence |
| 64 | Claude Opus 4.7 | 53.4% | estimated ± 5.0 pp, low confidence |
| 65 | Inkling-Small | 53.4% | estimated ± 5.0 pp, low confidence |
| 66 | Inkling | 52.1% | estimated ± 5.0 pp, low confidence |
| 67 | Qwen 3.6 Max (preview) | 51.1% | estimated ± 5.0 pp, low confidence |
| 68 | Kimi K2.5 | 51.0% | estimated ± 5.0 pp, low confidence |
| 69 | Kimi K2.5 (Reasoning) | 51.0% | estimated ± 5.0 pp, low confidence |
| 70 | MiMo-V2-Pro | 50.7% | estimated ± 5.0 pp, low confidence |
| 71 | Claude Opus 4.5 Thinking | 50.4% | estimated ± 5.0 pp, low confidence |
| 72 | GLM-5.1 | 50.4% | estimated ± 5.0 pp, low confidence |
| 73 | A.X K2 | 49.9% | estimated ± 5.0 pp, low confidence |
| 74 | MiniMax M2.7 | 49.9% | estimated ± 5.0 pp, low confidence |
| 75 | GLM-5 | 49.6% | estimated ± 5.0 pp, low confidence |
| 76 | Solar Pro 4 | 49.5% | estimated ± 5.0 pp, low confidence |
| 77 | GPT-5.1 | 48.8% | estimated ± 5.0 pp, low confidence |
| 78 | GPT-5 (high) | 48.8% | estimated ± 5.0 pp, low confidence |
| 79 | Nemotron 3 Ultra | 48.7% | estimated ± 5.0 pp, low confidence |
| 80 | GPT-5.4 nano | 48.6% | estimated ± 5.0 pp, low confidence |
| 81 | GPT-5.4 mini | 48.4% | estimated ± 5.0 pp, low confidence |
| 82 | GLM-5-Turbo | 48.1% | estimated ± 5.0 pp, low confidence |
| 83 | Qwen3.6 Plus | 48.1% | estimated ± 5.0 pp, low confidence |
| 84 | GLM-4.7 | 47.7% | estimated ± 5.0 pp, low confidence |
| 85 | Grok 4 | 47.0% | estimated ± 5.0 pp, low confidence |
| 86 | GPT-5.1-Codex | 46.0% | estimated ± 5.0 pp, low confidence |
| 87 | GPT-5.1-Codex-Max | 46.0% | estimated ± 5.0 pp, low confidence |
| 88 | GPT-5 (medium) | 45.7% | estimated ± 5.0 pp, low confidence |
| 89 | Qwen3.5-122B-A10B | 45.5% | estimated ± 5.0 pp, low confidence |
| 90 | Qwen3.5-27B | 44.2% | estimated ± 5.0 pp, low confidence |
| 91 | Ling 3.0 Flash | 44.0% | estimated ± 5.0 pp, low confidence |
| 92 | Ling 3.0 Flash FP8 | 44.0% | estimated ± 5.0 pp, low confidence |
| 93 | Gemma 4 31B | 43.9% | estimated ± 5.0 pp, low confidence |
| 94 | Qwen3.6-27B | 43.3% | estimated ± 5.0 pp, low confidence |
| 95 | Gemini 2.5 Pro | 42.7% | estimated ± 5.0 pp, low confidence |
| 96 | Qwen3.6-35B-A3B | 42.4% | estimated ± 5.0 pp, low confidence |
| 97 | MiMo-V2-Omni | 42.3% | estimated ± 5.0 pp, low confidence |
| 98 | Ling 3.0 Flash VL | 42.2% | estimated ± 5.0 pp, low confidence |
| 99 | Muse Glimmer 30B | 42.2% | estimated ± 5.0 pp, low confidence |
| 100 | Step 3.7 Flash | 41.5% | estimated ± 5.0 pp, low confidence |
| 101 | Qwen3.5-35B-A3B | 41.1% | estimated ± 5.0 pp, low confidence |
| 102 | Nemotron 3 Super 100B | 40.9% | estimated ± 5.0 pp, low confidence |
| 103 | o3-pro | 40.8% | estimated ± 5.0 pp, low confidence |
| 104 | o3 | 40.1% | estimated ± 5.0 pp, low confidence |
| 105 | Qwen3.5 397B | 39.8% | estimated ± 5.0 pp, low confidence |
| 106 | Qwen3.5 397B (Reasoning) | 39.8% | estimated ± 5.0 pp, low confidence |
| 107 | GPT-OSS 120B | 39.6% | estimated ± 5.0 pp, low confidence |
| 108 | Gemma 4 26B A4B | 39.3% | estimated ± 5.0 pp, low confidence |
| 109 | Grok 4.1 Fast (Reasoning) | 39.3% | estimated ± 5.0 pp, low confidence |
| 110 | Claude Opus 4.6 | 39.0% | estimated ± 5.0 pp, low confidence |
| 111 | Grok 4 Fast (Reasoning) | 39.0% | estimated ± 5.0 pp, low confidence |
| 112 | Gemini 3.5 Flash-Lite | 38.7% | estimated ± 5.0 pp, low confidence |
| 113 | Quasar 438B | 38.6% | estimated ± 5.0 pp, low confidence |
| 114 | K-EXAONE 2.0 | 38.5% | estimated ± 5.0 pp, low confidence |
| 115 | Claude 4.1 Opus | 36.8% | estimated ± 5.0 pp, low confidence |
| 116 | GLM-5V-Turbo | 36.8% | estimated ± 5.0 pp, low confidence |
| 117 | DeepSeek-R1 | 35.3% | estimated ± 5.0 pp, low confidence |
| 118 | Trinity-Large-Preview | 35.3% | estimated ± 5.0 pp, low confidence |
| 119 | Trinity-Large-Thinking | 35.3% | estimated ± 5.0 pp, low confidence |
| 120 | Gemma 4 12B | 35.2% | estimated ± 5.0 pp, low confidence |
| 121 | Gemini 3 Flash | 34.4% | estimated ± 5.0 pp, low confidence |
| 122 | DeepSeek V3.1 (Reasoning) | 33.6% | estimated ± 5.0 pp, low confidence |
| 123 | K-Exaone | 33.1% | estimated ± 5.0 pp, low confidence |
| 124 | Mistral Medium 3.5 128B | 33.0% | estimated ± 5.0 pp, low confidence |
| 125 | Claude Sonnet 4.6 | 32.4% | estimated ± 5.0 pp, low confidence |
| 126 | Claude Opus 4.5 | 32.3% | estimated ± 5.0 pp, low confidence |
| 127 | Claude 4.1 Opus Thinking | 31.4% | estimated ± 5.0 pp, low confidence |
| 128 | Command A+ | 30.8% | estimated ± 5.0 pp, low confidence |
| 129 | Qwen3 Max | 30.7% | estimated ± 5.0 pp, low confidence |
| 130 | Mercury 2.5 | 30.6% | estimated ± 5.0 pp, low confidence |
| 131 | Nemotron 3 Nano 30B | 30.1% | estimated ± 5.0 pp, low confidence |
| 132 | DeepSeek V3.2 | 29.9% | estimated ± 5.0 pp, low confidence |
| 133 | Granite 4.2 30B | 29.9% | estimated ± 5.0 pp, low confidence |
| 134 | North Mini Code | 29.7% | estimated ± 5.0 pp, low confidence |
| 135 | GPT-OSS 20B | 29.6% | estimated ± 5.0 pp, low confidence |
| 136 | Sarvam 105B | 29.6% | estimated ± 5.0 pp, low confidence |
| 137 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 29.1% | estimated ± 5.0 pp, low confidence |
| 138 | o1-pro | 28.8% | estimated ± 5.0 pp, low confidence |
| 139 | Solar Pro 3 | 28.8% | estimated ± 5.0 pp, low confidence |
| 140 | Mistral Small 4 | 28.3% | estimated ± 5.0 pp, low confidence |
| 141 | Mistral Small 4 (Reasoning) | 28.3% | estimated ± 5.0 pp, low confidence |
| 142 | Granite 4.2 8B | 28.0% | estimated ± 5.0 pp, low confidence |
| 143 | Ling 3.0 Tiny | 27.5% | estimated ± 5.0 pp, low confidence |
| 144 | o1-preview | 27.4% | estimated ± 5.0 pp, low confidence |
| 145 | MiniCPM5-2B | 27.0% | estimated ± 5.0 pp, low confidence |
| 146 | MiMo-V2-Flash | 26.6% | estimated ± 5.0 pp, low confidence |
| 147 | Grok Code Fast 1 | 25.9% | estimated ± 5.0 pp, low confidence |
| 148 | o3-mini | 25.7% | estimated ± 5.0 pp, low confidence |
| 149 | Qwen3-Omni-30B-A3B-Thinking | 25.2% | estimated ± 5.0 pp, low confidence |
| 150 | Sarvam 30B | 25.2% | estimated ± 5.0 pp, low confidence |
| 151 | Kimi K2 | 25.1% | estimated ± 5.0 pp, low confidence |
| 152 | Nemotron Ultra 253B | 25.1% | estimated ± 5.0 pp, low confidence |
| 153 | GLM-4.5-Air | 24.6% | estimated ± 5.0 pp, low confidence |
| 154 | o1 | 24.6% | estimated ± 5.0 pp, low confidence |
| 155 | LFM2.5-8B-A1B | 24.5% | estimated ± 5.0 pp, low confidence |
| 156 | Celeris-1 | 24.3% | estimated ± 5.0 pp, low confidence |
| 157 | DeepSeek V3.1 | 24.2% | estimated ± 5.0 pp, low confidence |
| 158 | Granite 4.2 3B | 24.1% | estimated ± 5.0 pp, low confidence |
| 159 | Granite-4.0-H-350M | 23.8% | estimated ± 5.0 pp, low confidence |
| 160 | Ling 2.6 Flash | 23.7% | estimated ± 5.0 pp, low confidence |
| 161 | LFM2.5-2.6B | 23.6% | estimated ± 5.0 pp, low confidence |
| 162 | Exaone 4.0 1.2B | 22.9% | estimated ± 5.0 pp, low confidence |
| 163 | GLM-4.6 | 22.6% | estimated ± 5.0 pp, low confidence |
| 164 | Granite-4.0-350M | 22.6% | estimated ± 5.0 pp, low confidence |
| 165 | Grok 4.1 Fast | 22.1% | estimated ± 5.0 pp, low confidence |
| 166 | LFM2.5-VL-1.6B-Extract | 22.1% | estimated ± 5.0 pp, low confidence |
| 167 | Exaone 4.0 32B | 22.0% | estimated ± 5.0 pp, low confidence |
| 168 | GPT-4.1 mini | 22.0% | estimated ± 5.0 pp, low confidence |
| 169 | Granite-4.0-H-1B | 22.0% | estimated ± 5.0 pp, low confidence |
| 170 | Phi-4 Multimodal Instruct | 22.0% | estimated ± 5.0 pp, low confidence |
| 171 | Llama 4 Maverick | 21.8% | estimated ± 5.0 pp, low confidence |
| 172 | Gemma 4 E2B | 21.7% | estimated ± 5.0 pp, low confidence |
| 173 | Nemotron 3 Nano Omni 30B A3B | 21.7% | estimated ± 5.0 pp, low confidence |
| 174 | DeepSeek V3 0324 | 21.6% | estimated ± 5.0 pp, low confidence |
| 175 | Gemini 2.5 Flash | 21.6% | estimated ± 5.0 pp, low confidence |
| 176 | DeepSeek R1 Distill Qwen 32B | 21.4% | estimated ± 5.0 pp, low confidence |
| 177 | Gemini 1.5 Pro | 21.4% | estimated ± 5.0 pp, low confidence |
| 178 | Qwen3-Omni-30B-A3B-Instruct | 21.4% | estimated ± 5.0 pp, low confidence |
| 179 | Gemma 3 27B | 21.2% | estimated ± 5.0 pp, low confidence |
| 180 | Claude 4 Sonnet | 21.0% | estimated ± 5.0 pp, low confidence |
| 181 | Gemini 1.0 Pro | 20.9% | estimated ± 5.0 pp, low confidence |
| 182 | GPT-4.1 | 20.9% | estimated ± 5.0 pp, low confidence |
| 183 | GPT-4o mini | 20.9% | estimated ± 5.0 pp, low confidence |
| 184 | Mistral Large 3 | 20.9% | estimated ± 5.0 pp, low confidence |
| 185 | Claude 3 Haiku | 20.8% | estimated ± 5.0 pp, low confidence |
| 186 | Mistral Medium 3 | 20.8% | estimated ± 5.0 pp, low confidence |
| 187 | Llama 3.1 405B | 20.6% | estimated ± 5.0 pp, low confidence |
| 188 | Gemma 4 E4B | 20.4% | estimated ± 5.0 pp, low confidence |
| 189 | GPT-4.1 nano | 20.4% | estimated ± 5.0 pp, low confidence |
| 190 | Llama 4 Scout | 20.4% | estimated ± 5.0 pp, low confidence |
| 191 | Phi-4 | 20.4% | estimated ± 5.0 pp, low confidence |
| 192 | Solar Pro 2 | 20.2% | estimated ± 5.0 pp, low confidence |
| 193 | Ultravox v0.6 Llama 3.3 70B | 20.1% | estimated ± 5.0 pp, low confidence |
| 194 | Qwen2.5 Coder 32B Instruct | 20.0% | estimated ± 5.0 pp, low confidence |
| 195 | Mistral Large 2 | 19.7% | estimated ± 5.0 pp, low confidence |
| 196 | Nova Pro | 19.6% | estimated ± 5.0 pp, low confidence |
| 197 | GPT-4 Turbo | 19.4% | estimated ± 5.0 pp, low confidence |
| 198 | DeepSeek V3 | 19.1% | estimated ± 5.0 pp, low confidence |
| 199 | Claude 3 Opus | 19.0% | estimated ± 5.0 pp, low confidence |
| 200 | GPT-4o | 18.5% | estimated ± 5.0 pp, low confidence |
All leaderboards
Agentic · terminal
- AA Terminal-Bench 2.1
- AA Terminal-Bench 4.0
- Terminal-Bench 2.0
- Terminal-Bench 3.0
- Terminal-Bench 4.0
- Terminal-Bench-Science 0.1
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
- AA AutomationBench
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB
- AA ITBench
- AA Tau3 Banking
- Agents' Last Exam
- APEX-Agents
- APEX-Agents-AA
- ApprenticeBench
- AutomationBench
- BFCL v4
- BrowseComp
- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- GDPval-AA
- Gert Labs
- HLE w/ tools
- JobBench
- MCP Atlas
- MCP-Tasks
- OSWorld-Verified
- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA-SciCode
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2025
- AIME26
- FrontierMath (legacy)
- FrontierMath v2 (Tier 4)
- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
- HMMT Feb 2026
- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
- AA-HLE
- ARC-AGI-2
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- HealthBench (raw)
- HealthBench Hard
- HealthBench (length-adjusted)
- HealthBench Professional
- HealthBench Professional (raw)
- HLE
- HLE w/o tools
- HLE-Verified
- JevBench 1.4
- LABBench2
- MedXpertQA (Text)
- MMLU
- MMLU-Pro
- MMLU-Pro (Arcee)
- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- BabyVision
- CharXiv
- CharXiv w/o tools
- ERQA
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OfficeQA Pro
- OmniDocBench 1.5
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- Video-MME (with subtitle)
- VideoMMMU
- V*
- ZeroBench