Knowledge & reasoning
BioMysteryBench (human-difficult) leaderboard
As of 2026-10-07, the highest measured score on BioMysteryBench (human-difficult) is 56.5% by Gemini 3.8 Flash. 197 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Gemini 3.8 Flash | 56.5% | measured |
| 2 | Claude Fable 5.1 | 51.6% | estimated ± 5.9 pp, low confidence |
| 3 | Claude Fable 5 | 51.1% | estimated ± 5.9 pp, low confidence |
| 4 | GPT-6 Astra | 50.2% | estimated ± 5.9 pp, low confidence |
| 5 | GPT-6.1 Sol | 50.1% | estimated ± 5.9 pp, low confidence |
| 6 | Claude Opus 5.5 | 50.0% | measured |
| 7 | GPT-5.5 Pro | 49.8% | estimated ± 6.8 pp, low confidence |
| 8 | GPT-5.4 Pro | 49.7% | estimated ± 6.8 pp, low confidence |
| 9 | Claude Opus 5 | 49.4% | measured |
| 10 | GPT-5.6 Sol | 49.2% | estimated ± 5.9 pp, low confidence |
| 11 | Gemini 3 Pro Deep Think | 49.1% | estimated ± 6.8 pp, low confidence |
| 12 | GPT-5.5 | 48.7% | estimated ± 5.9 pp, low confidence |
| 13 | Gemini 3 Pro | 47.9% | estimated ± 5.9 pp, low confidence |
| 14 | Claude Haiku 5.5 | 47.8% | estimated ± 6.8 pp, low confidence |
| 15 | Gemini 3.1 Pro | 47.5% | estimated ± 5.9 pp, low confidence |
| 16 | GPT-6 Sol | 47.4% | estimated ± 5.9 pp, low confidence |
| 17 | Hy4 preview | 47.2% | estimated ± 6.8 pp, low confidence |
| 18 | GPT-5.3 Codex | 46.8% | estimated ± 5.9 pp, low confidence |
| 19 | GLM-5.3-Flash | 46.7% | estimated ± 6.8 pp, low confidence |
| 20 | Muse Spark 1.1 | 46.5% | estimated ± 5.9 pp, low confidence |
| 21 | Gemini 3.5 Flash | 46.4% | estimated ± 5.9 pp, low confidence |
| 22 | Grok 4.5 | 46.3% | estimated ± 5.9 pp, low confidence |
| 23 | GPT-5.4 | 45.9% | estimated ± 5.9 pp, low confidence |
| 24 | Gemini 3.6 Flash | 45.6% | estimated ± 5.9 pp, low confidence |
| 25 | Gemini 4 Argon | 45.6% | estimated ± 5.9 pp, low confidence |
| 26 | Muse Spark | 45.4% | estimated ± 5.9 pp, low confidence |
| 27 | DeepSeek V4 Pro 0813 | 45.2% | estimated ± 5.9 pp, low confidence |
| 28 | Claude Opus 4.7 (Adaptive) | 45.1% | estimated ± 5.9 pp, low confidence |
| 29 | Claude Opus 4.8 | 45.1% | estimated ± 5.9 pp, low confidence |
| 30 | Grok 4.6 | 44.8% | estimated ± 5.9 pp, low confidence |
| 31 | Claude Sonnet 5.5 | 44.7% | measured |
| 32 | Kimi K3 | 44.6% | estimated ± 5.9 pp, low confidence |
| 33 | Grok 4.7 | 44.5% | estimated ± 5.9 pp, low confidence |
| 34 | Claude Opus 4.6 (Adaptive) | 44.3% | estimated ± 5.9 pp, low confidence |
| 35 | GPT-5.6 Terra | 44.2% | estimated ± 5.9 pp, low confidence |
| 36 | Claude Opus 4.5 Thinking | 44.1% | estimated ± 5.9 pp, low confidence |
| 37 | DeepSeek V4.1 Flash | 44.1% | estimated ± 5.9 pp, low confidence |
| 38 | Claude Opus 4.6 | 43.8% | estimated ± 5.9 pp, low confidence |
| 39 | Gemini 3 Flash | 43.8% | estimated ± 5.9 pp, low confidence |
| 40 | Muse Spark 1.2 | 43.6% | estimated ± 5.9 pp, low confidence |
| 41 | Gemini 3.7 Flash | 43.5% | measured |
| 42 | Claude Opus 4.7 | 43.3% | estimated ± 5.9 pp, low confidence |
| 43 | GPT-5.2 | 43.1% | estimated ± 5.9 pp, low confidence |
| 44 | GPT-6 Luna | 42.8% | estimated ± 5.9 pp, low confidence |
| 45 | Muse Spark 1.3 | 42.7% | estimated ± 5.9 pp, low confidence |
| 46 | GPT-5.6 Luna | 42.3% | estimated ± 5.9 pp, low confidence |
| 47 | Inkling | 41.8% | estimated ± 5.9 pp, low confidence |
| 48 | Step 5 Preview | 41.7% | estimated ± 5.9 pp, low confidence |
| 49 | GPT-5.2-Codex | 41.5% | estimated ± 5.9 pp, low confidence |
| 50 | Claude Opus 4.5 | 41.4% | estimated ± 5.9 pp, low confidence |
| 51 | Grok 4 | 41.2% | estimated ± 5.9 pp, low confidence |
| 52 | DeepSeek V4 Flash 0731 | 41.1% | estimated ± 5.9 pp, low confidence |
| 53 | GPT-5 (high) | 41.1% | estimated ± 5.9 pp, low confidence |
| 54 | Claude Sonnet 5 | 41.0% | estimated ± 5.9 pp, low confidence |
| 55 | GPT-5.1-Codex | 40.9% | estimated ± 5.9 pp, low confidence |
| 56 | GPT-5.1-Codex-Max | 40.9% | estimated ± 5.9 pp, low confidence |
| 57 | Kimi K2.7 Code | 40.7% | estimated ± 5.9 pp, low confidence |
| 58 | GPT-5 (medium) | 40.7% | estimated ± 5.9 pp, low confidence |
| 59 | Gemini 2.5 Pro | 40.5% | estimated ± 5.9 pp, low confidence |
| 60 | Claude Sonnet 4.6 | 40.2% | estimated ± 5.9 pp, low confidence |
| 61 | o3 | 40.2% | estimated ± 5.9 pp, low confidence |
| 62 | Qwen 3.6 Max (preview) | 39.8% | estimated ± 5.9 pp, low confidence |
| 63 | GPT-5.1 | 39.7% | estimated ± 5.9 pp, low confidence |
| 64 | GPT-5.4 mini | 39.6% | estimated ± 5.9 pp, low confidence |
| 65 | Kimi K2.5 | 38.3% | estimated ± 5.9 pp, low confidence |
| 66 | Kimi K2.5 (Reasoning) | 38.3% | estimated ± 5.9 pp, low confidence |
| 67 | MiMo-V2.6-Pro | 38.0% | estimated ± 5.9 pp, low confidence |
| 68 | Grok 4.3 | 37.9% | estimated ± 5.9 pp, low confidence |
| 69 | o1 | 37.8% | estimated ± 5.9 pp, low confidence |
| 70 | GLM-5.3 | 37.5% | estimated ± 5.9 pp, low confidence |
| 71 | Inkling-Small | 37.1% | estimated ± 5.9 pp, low confidence |
| 72 | Kimi K2.6 | 36.7% | estimated ± 5.9 pp, low confidence |
| 73 | Hy3 | 36.3% | estimated ± 5.9 pp, low confidence |
| 74 | Apodex 1.1 Mini | 36.1% | estimated ± 5.9 pp, low confidence |
| 75 | Qwen3.8 Max Preview | 36.1% | estimated ± 5.9 pp, low confidence |
| 76 | Hy3 Preview | 36.0% | estimated ± 5.9 pp, low confidence |
| 77 | Qwen3.7 Max | 35.7% | estimated ± 5.9 pp, low confidence |
| 78 | DeepSeek-R1 | 35.3% | estimated ± 5.9 pp, low confidence |
| 79 | Apodex 1.1 | 35.3% | measured |
| 80 | Claude 3 Opus | 35.2% | estimated ± 8.1 pp, low confidence |
| 81 | Claude 4.1 Opus | 35.2% | estimated ± 8.1 pp, low confidence |
| 82 | DeepSeek R1 Distill Qwen 32B | 35.2% | estimated ± 8.1 pp, low confidence |
| 83 | Gemini 1.0 Pro | 35.2% | estimated ± 8.1 pp, low confidence |
| 84 | Gemini 1.5 Pro | 35.2% | estimated ± 8.1 pp, low confidence |
| 85 | GPT-4 Turbo | 35.2% | estimated ± 8.1 pp, low confidence |
| 86 | GPT-4o mini | 35.2% | estimated ± 8.1 pp, low confidence |
| 87 | o1-preview | 35.2% | estimated ± 8.1 pp, low confidence |
| 88 | o1-pro | 35.2% | estimated ± 8.1 pp, low confidence |
| 89 | o3-mini | 35.2% | estimated ± 8.1 pp, low confidence |
| 90 | o3-pro | 35.2% | estimated ± 8.1 pp, low confidence |
| 91 | Phi-4 Multimodal Instruct | 35.2% | estimated ± 8.1 pp, low confidence |
| 92 | Qwen2.5 Coder 32B Instruct | 35.2% | estimated ± 8.1 pp, low confidence |
| 93 | Gemini 3.5 Flash-Lite | 34.6% | estimated ± 5.9 pp, low confidence |
| 94 | GLM-4.7 | 34.5% | estimated ± 5.9 pp, low confidence |
| 95 | GLM-5V-Turbo | 34.5% | estimated ± 5.9 pp, low confidence |
| 96 | Ling 3.1 Flash | 34.3% | estimated ± 5.9 pp, low confidence |
| 97 | DeepSeek V3.1 (Reasoning) | 34.3% | estimated ± 5.9 pp, low confidence |
| 98 | GLM-5-Turbo | 33.9% | estimated ± 5.9 pp, low confidence |
| 99 | GPT-4.1 | 33.4% | estimated ± 5.9 pp, low confidence |
| 100 | Kimi K2 | 33.1% | estimated ± 5.9 pp, low confidence |
| 101 | MiMo-V2.6-Flash | 32.8% | estimated ± 5.9 pp, low confidence |
| 102 | Muse Glimmer 30B | 32.8% | estimated ± 5.9 pp, low confidence |
| 103 | MiniMax M2.7 | 32.7% | estimated ± 5.9 pp, low confidence |
| 104 | MiMo-V2-Pro | 32.5% | estimated ± 5.9 pp, low confidence |
| 105 | Qwen3.6 Plus | 32.4% | estimated ± 5.9 pp, low confidence |
| 106 | GLM-5 | 32.3% | estimated ± 5.9 pp, low confidence |
| 107 | Gemini 2.5 Flash | 32.2% | estimated ± 5.9 pp, low confidence |
| 108 | Mistral Large 4 | 31.9% | estimated ± 5.9 pp, low confidence |
| 109 | Step 3.7 Flash | 31.9% | estimated ± 5.9 pp, low confidence |
| 110 | GPT-5.4 nano | 31.9% | estimated ± 5.9 pp, low confidence |
| 111 | DeepSeek V3 | 31.7% | estimated ± 5.9 pp, low confidence |
| 112 | Grok 4.1 Fast (Reasoning) | 31.4% | estimated ± 5.9 pp, low confidence |
| 113 | Mistral Large 3 | 31.3% | estimated ± 5.9 pp, low confidence |
| 114 | Llama 4 Maverick | 31.2% | estimated ± 5.9 pp, low confidence |
| 115 | Mistral Medium 3.5 128B | 31.1% | estimated ± 5.9 pp, low confidence |
| 116 | Qwen3.5 397B | 30.9% | estimated ± 5.9 pp, low confidence |
| 117 | Qwen3.5 397B (Reasoning) | 30.9% | estimated ± 5.9 pp, low confidence |
| 118 | Qwen3.8-Flash-Next | 30.9% | estimated ± 5.9 pp, low confidence |
| 119 | Qwen3.5-122B-A10B | 30.8% | estimated ± 5.9 pp, low confidence |
| 120 | Qwen3 Max | 30.8% | estimated ± 5.9 pp, low confidence |
| 121 | DeepSeek V3 0324 | 30.8% | estimated ± 5.9 pp, low confidence |
| 122 | GLM-5.2 | 30.8% | estimated ± 5.9 pp, low confidence |
| 123 | Nemotron 3 Super 100B | 30.8% | estimated ± 5.9 pp, low confidence |
| 124 | DeepSeek V3.2 | 30.5% | estimated ± 5.9 pp, low confidence |
| 125 | GLM-5.1 | 30.3% | estimated ± 5.9 pp, low confidence |
| 126 | Grok Code Fast 1 | 30.1% | estimated ± 5.9 pp, low confidence |
| 127 | Llama 3.1 405B | 29.9% | estimated ± 5.9 pp, low confidence |
| 128 | DeepSeek V3.1 | 29.8% | estimated ± 5.9 pp, low confidence |
| 129 | Grok 4 Fast (Reasoning) | 29.5% | estimated ± 5.9 pp, low confidence |
| 130 | Claude 4 Sonnet | 29.4% | estimated ± 5.9 pp, low confidence |
| 131 | Qwen3.7 Plus | 29.3% | estimated ± 5.9 pp, low confidence |
| 132 | Trinity-Large-Preview | 29.3% | estimated ± 5.9 pp, low confidence |
| 133 | Trinity-Large-Thinking | 29.3% | estimated ± 5.9 pp, low confidence |
| 134 | MiMo-V2.5-Pro | 29.2% | estimated ± 5.9 pp, low confidence |
| 135 | Mercury 2.5 | 28.8% | estimated ± 5.9 pp, low confidence |
| 136 | GPT-OSS 120B | 28.7% | estimated ± 5.9 pp, low confidence |
| 137 | Mistral Small 4 | 28.6% | estimated ± 5.9 pp, low confidence |
| 138 | Mistral Small 4 (Reasoning) | 28.6% | estimated ± 5.9 pp, low confidence |
| 139 | Nemotron 3 Ultra | 28.5% | estimated ± 5.9 pp, low confidence |
| 140 | GLM-4.6 | 28.3% | estimated ± 5.9 pp, low confidence |
| 141 | Qwen3.5-27B | 27.7% | estimated ± 5.9 pp, low confidence |
| 142 | GPT-4.1 mini | 27.3% | estimated ± 5.9 pp, low confidence |
| 143 | Nemotron Ultra 253B | 27.2% | estimated ± 5.9 pp, low confidence |
| 144 | Qwen3.5-35B-A3B | 27.2% | estimated ± 5.9 pp, low confidence |
| 145 | Gemma 4 31B | 27.1% | estimated ± 5.9 pp, low confidence |
| 146 | GPT-4o | 27.0% | estimated ± 5.9 pp, low confidence |
| 147 | Mistral Large 2 | 27.0% | estimated ± 5.9 pp, low confidence |
| 148 | Qwen3.6-27B | 26.7% | estimated ± 5.9 pp, low confidence |
| 149 | MiMo-V2-Omni | 26.4% | estimated ± 5.9 pp, low confidence |
| 150 | Gemma 4 26B A4B | 26.2% | estimated ± 5.9 pp, low confidence |
| 151 | Ultravox v0.6 Llama 3.3 70B | 26.1% | estimated ± 5.9 pp, low confidence |
| 152 | North Mini Code | 26.0% | estimated ± 5.9 pp, low confidence |
| 153 | Solar Pro 4 | 26.0% | estimated ± 5.9 pp, low confidence |
| 154 | Qwen3.6-35B-A3B | 25.9% | estimated ± 5.9 pp, low confidence |
| 155 | A.X K2 | 25.8% | estimated ± 5.9 pp, low confidence |
| 156 | Solar Pro 3 | 25.7% | estimated ± 5.9 pp, low confidence |
| 157 | Mistral Medium 3 | 25.5% | estimated ± 5.9 pp, low confidence |
| 158 | Ling 3.0 Flash | 25.4% | estimated ± 5.9 pp, low confidence |
| 159 | Ling 3.0 Flash FP8 | 25.4% | estimated ± 5.9 pp, low confidence |
| 160 | Claude 3 Haiku | 24.8% | estimated ± 5.9 pp, low confidence |
| 161 | Sarvam 105B | 24.8% | estimated ± 5.9 pp, low confidence |
| 162 | Nemotron 3 Nano 30B | 24.5% | estimated ± 5.9 pp, low confidence |
| 163 | Grok 4.1 Fast | 24.4% | estimated ± 5.9 pp, low confidence |
| 164 | Nova Pro | 24.1% | estimated ± 5.9 pp, low confidence |
| 165 | MiniMax M3 | 23.9% | estimated ± 5.9 pp, low confidence |
| 166 | K-Exaone | 23.6% | estimated ± 5.9 pp, low confidence |
| 167 | GLM-4.5-Air | 23.5% | estimated ± 5.9 pp, low confidence |
| 168 | Solar Pro 2 | 23.3% | estimated ± 5.9 pp, low confidence |
| 169 | GPT-OSS 20B | 23.2% | estimated ± 5.9 pp, low confidence |
| 170 | Gemma 4 12B | 22.7% | estimated ± 5.9 pp, low confidence |
| 171 | Ling 2.6 Flash | 22.7% | estimated ± 5.9 pp, low confidence |
| 172 | MiMo-V2-Flash | 22.7% | estimated ± 5.9 pp, low confidence |
| 173 | Qwen3.8-27B | 22.7% | estimated ± 5.9 pp, low confidence |
| 174 | Quasar 438B | 22.6% | estimated ± 5.9 pp, low confidence |
| 175 | Llama 4 Scout | 22.3% | estimated ± 5.9 pp, low confidence |
| 176 | Nemotron 3 Nano Omni 30B A3B | 22.3% | estimated ± 5.9 pp, low confidence |
| 177 | Qwen3-Omni-30B-A3B-Thinking | 21.6% | estimated ± 5.9 pp, low confidence |
| 178 | Ling 3.0 Flash VL | 21.4% | estimated ± 5.9 pp, low confidence |
| 179 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 21.4% | estimated ± 5.9 pp, low confidence |
| 180 | Qwen3-Omni-30B-A3B-Instruct | 21.3% | estimated ± 5.9 pp, low confidence |
| 181 | Phi-4 | 21.1% | estimated ± 5.9 pp, low confidence |
| 182 | GPT-4.1 nano | 20.6% | estimated ± 5.9 pp, low confidence |
| 183 | K-EXAONE 2.0 | 20.0% | estimated ± 5.9 pp, low confidence |
| 184 | Gemma 3 27B | 19.8% | estimated ± 5.9 pp, low confidence |
| 185 | Sarvam 30B | 19.4% | estimated ± 5.9 pp, low confidence |
| 186 | Granite 4.2 8B | 17.7% | estimated ± 5.9 pp, low confidence |
| 187 | Celeris-1 | 17.4% | estimated ± 5.9 pp, low confidence |
| 188 | Exaone 4.0 32B | 16.9% | estimated ± 5.9 pp, low confidence |
| 189 | Granite 4.2 30B | 16.3% | estimated ± 5.9 pp, low confidence |
| 190 | LFM2.5-8B-A1B | 15.3% | estimated ± 5.9 pp, low confidence |
| 191 | Granite 4.2 3B | 15.1% | estimated ± 5.9 pp, low confidence |
| 192 | Command A+ | 14.7% | estimated ± 5.9 pp, low confidence |
| 193 | Gemma 4 E4B | 14.3% | estimated ± 5.9 pp, low confidence |
| 194 | Ling 3.0 Tiny | 14.1% | estimated ± 5.9 pp, low confidence |
| 195 | MiniCPM5-2B | 14.0% | estimated ± 5.9 pp, low confidence |
| 196 | Gemma 4 E2B | 11.4% | estimated ± 5.9 pp, low confidence |
| 197 | LFM2.5-VL-1.6B-Extract | 10.2% | estimated ± 5.9 pp, low confidence |
| 198 | Granite-4.0-H-1B | 9.2% | estimated ± 5.9 pp, low confidence |
| 199 | Exaone 4.0 1.2B | 8.9% | estimated ± 5.9 pp, low confidence |
| 200 | LFM2.5-2.6B | 8.0% | estimated ± 5.9 pp, low confidence |
| 201 | Granite-4.0-350M | 7.1% | estimated ± 5.9 pp, low confidence |
| 202 | Granite-4.0-H-350M | 7.0% | estimated ± 5.9 pp, low confidence |
| 203 | Claude 4.1 Opus Thinking | 0.0% | estimated ± 6.8 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