Knowledge & reasoning
AA-HLE leaderboard
As of 2026-10-07, the highest measured score on AA-HLE is 61.4% by Claude Opus 5.5. 47 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 | 61.4% | measured |
| 2 | Claude Fable 5.1 | 59.1% | measured |
| 3 | Gemini 4 Argon | 57.1% | measured |
| 4 | Claude Fable 5 | 55.5% | measured |
| 5 | Claude Mythos 5 | 55.2% | estimated ± 5.0 pp, high confidence |
| 6 | Claude Sonnet 5.5 | 55.0% | measured |
| 7 | Claude Opus 5 | 54.9% | measured |
| 8 | GPT-6 Astra | 54.7% | measured |
| 9 | GPT-6.1 Sol | 52.9% | measured |
| 10 | Sakana Fugu | 52.9% | estimated ± 4.0 pp, high confidence |
| 11 | Sakana Fugu-Ultra | 52.9% | estimated ± 4.0 pp, high confidence |
| 12 | GPT-5.5 Pro | 51.3% | estimated ± 4.6 pp, high confidence |
| 13 | GPT-5.4 Pro | 51.0% | estimated ± 4.6 pp, high confidence |
| 14 | GPT-5.6 Sol | 49.5% | measured |
| 15 | MiMo-V2.6-Pro | 49.4% | measured |
| 16 | Gemini 3 Pro Deep Think | 48.8% | estimated ± 4.6 pp, high confidence |
| 17 | Claude Opus 4.8 | 48.7% | measured |
| 18 | Muse Spark 1.3 | 48.7% | measured |
| 19 | Gemini 3.7 Flash | 47.9% | measured |
| 20 | GPT-6 Sol | 47.9% | measured |
| 21 | Gemini 3.8 Flash | 47.8% | measured |
| 22 | dots3-note Preview | 47.3% | estimated ± 6.3 pp, medium confidence |
| 23 | Pareto 26.9 | 47.1% | estimated ± 5.0 pp, high confidence |
| 24 | Gemini 3.1 Pro | 47.0% | measured |
| 25 | Kimi K3 | 46.9% | measured |
| 26 | Step 5 Preview | 46.5% | measured |
| 27 | Muse Spark 1.1 | 46.2% | measured |
| 28 | GPT-5.5 | 45.8% | measured |
| 29 | Muse Spark 1.2 | 45.5% | measured |
| 30 | Claude Haiku 5.5 | 44.4% | measured |
| 31 | GPT-5.4 | 43.7% | measured |
| 32 | Grok 4.7 | 43.1% | measured |
| 33 | Qwen3.8 Max Preview | 43.1% | measured |
| 34 | Ornith-1.5-397B | 43.1% | estimated ± 4.0 pp, high confidence |
| 35 | GPT-5.6 Terra | 42.9% | measured |
| 36 | Grok 4.6 | 42.9% | measured |
| 37 | Gemini 3.5 Flash | 42.7% | measured |
| 38 | Grok 4.5 | 42.7% | measured |
| 39 | GPT-5.3 Codex | 42.5% | measured |
| 40 | Qwen3.8 Max | 42.5% | estimated ± 4.0 pp, high confidence |
| 41 | Claude Opus 4.7 (Adaptive) | 42.3% | measured |
| 42 | GLM-5.3 | 42.3% | measured |
| 43 | Pareto 26.10 Preview | 41.8% | estimated ± 4.0 pp, high confidence |
| 44 | Hy4 preview | 41.5% | estimated ± 4.0 pp, high confidence |
| 45 | Claude Sonnet 5 | 41.3% | measured |
| 46 | GLM-5.2 | 41.1% | measured |
| 47 | DeepSeek V4 Pro 0813 | 41.0% | measured |
| 48 | Gemini 3.6 Flash | 40.8% | measured |
| 49 | Muse Spark | 40.7% | measured |
| 50 | Grok 4.20 | 40.7% | estimated ± 2.6 pp, medium confidence |
| 51 | Qwen3.7 Max | 40.5% | measured |
| 52 | Claude Opus 4.6 (Adaptive) | 39.9% | measured |
| 53 | GLM-5.3-Flash | 39.9% | measured |
| 54 | Gemini 3 Pro | 39.7% | measured |
| 55 | GPT-5.6 Luna | 39.5% | measured |
| 56 | Ling 3.1 Flash | 39.4% | measured |
| 57 | DeepSeek V4.1 Flash | 39.2% | measured |
| 58 | MiniMax M3 | 39.0% | measured |
| 59 | DeepSeek V4 Flash 0731 | 38.6% | measured |
| 60 | GPT-6 Luna | 38.5% | measured |
| 61 | Qwen3.8-Flash-Next | 38.0% | measured |
| 62 | Qwen3.8-Omni-Flash | 37.9% | estimated ± 4.0 pp, high confidence |
| 63 | GPT-5.2 | 37.7% | measured |
| 64 | Agents-A1 | 37.7% | estimated ± 8.4 pp, medium confidence |
| 65 | Kimi K2.6 | 37.5% | measured |
| 66 | Grok 4.3 | 37.2% | measured |
| 67 | Beam | 36.6% | estimated ± 4.0 pp, high confidence |
| 68 | GPT-5.2-Codex | 35.7% | measured |
| 69 | MiMo-V2.5-Pro | 35.7% | measured |
| 70 | Qwen3.7 Plus | 35.6% | measured |
| 71 | Interfaze Beta | 35.1% | estimated ± 4.0 pp, high confidence |
| 72 | MiMo-V2.6-Flash | 35.1% | measured |
| 73 | Kimi K2.7 Code | 35.0% | measured |
| 74 | Mistral Large 4 | 35.0% | measured |
| 75 | Apodex 1.1 | 34.1% | measured |
| 76 | Apodex 1.1 Mini | 34.1% | measured |
| 77 | Qwen3.8-27B | 33.9% | measured |
| 78 | Ornith-1.5-35B-A3B | 33.5% | estimated ± 4.0 pp, high confidence |
| 79 | Hy3 | 33.5% | measured |
| 80 | Hy3 Preview | 33.5% | measured |
| 81 | Claude Opus 4.7 | 33.3% | measured |
| 82 | Inkling-Small | 33.3% | measured |
| 83 | Inkling | 31.9% | measured |
| 84 | Claude Sonnet 4.5 | 30.9% | estimated ± 6.3 pp, medium confidence |
| 85 | Qwen 3.6 Max (preview) | 30.8% | measured |
| 86 | Kimi K2.5 | 30.7% | measured |
| 87 | Kimi K2.5 (Reasoning) | 30.7% | measured |
| 88 | MiMo-V2-Pro | 30.4% | measured |
| 89 | Claude Opus 4.5 Thinking | 30.1% | measured |
| 90 | GLM-5.1 | 30.1% | measured |
| 91 | Claude Sonnet 4.5 Thinking | 29.7% | estimated ± 6.2 pp, medium confidence |
| 92 | A.X K2 | 29.6% | measured |
| 93 | MiniMax M2.7 | 29.6% | measured |
| 94 | GLM-5 | 29.3% | measured |
| 95 | Solar Pro 4 | 29.2% | measured |
| 96 | GPT-5.1 | 28.5% | measured |
| 97 | GPT-5 (high) | 28.5% | measured |
| 98 | Nemotron 3 Ultra | 28.4% | measured |
| 99 | GPT-5.4 nano | 28.3% | measured |
| 100 | GPT-5.4 mini | 28.1% | measured |
| 101 | Ornith-1.5-9B | 27.9% | estimated ± 4.0 pp, high confidence |
| 102 | GLM-5-Turbo | 27.8% | measured |
| 103 | Qwen3.6 Plus | 27.8% | measured |
| 104 | Solar Open 2 | 27.7% | estimated ± 4.0 pp, high confidence |
| 105 | GLM-4.7 | 27.4% | measured |
| 106 | Ternary Bonsai 2 27B | 26.8% | estimated ± 4.0 pp, high confidence |
| 107 | Grok 4 | 26.7% | measured |
| 108 | GPT-5.1-Codex | 25.7% | measured |
| 109 | GPT-5.1-Codex-Max | 25.7% | measured |
| 110 | Qwen3.5 Flash | 25.7% | estimated ± 7.4 pp, medium confidence |
| 111 | GPT-5 (medium) | 25.4% | measured |
| 112 | Qwen3.5-122B-A10B | 25.2% | measured |
| 113 | MAI-Thinking-1 | 24.3% | estimated ± 4.0 pp, high confidence |
| 114 | MiMo-V2.5 | 24.0% | estimated ± 7.4 pp, medium confidence |
| 115 | Qwen3.5-27B | 23.9% | measured |
| 116 | o3-pro | 23.8% | estimated ± 4.0 pp, high confidence |
| 117 | Ling 3.0 Flash | 23.7% | measured |
| 118 | Ling 3.0 Flash FP8 | 23.7% | measured |
| 119 | Gemma 4 31B | 23.6% | measured |
| 120 | Gemini 3.1 Flash-Lite | 23.4% | estimated ± 7.4 pp, medium confidence |
| 121 | Qwen3.6-27B | 23.1% | measured |
| 122 | Gemini 2.5 Pro | 22.5% | measured |
| 123 | Qwen3.6-35B-A3B | 22.2% | measured |
| 124 | MiMo-V2-Omni | 22.1% | measured |
| 125 | Ling 3.0 Flash VL | 22.0% | measured |
| 126 | Muse Glimmer 30B | 22.0% | measured |
| 127 | Step 3.7 Flash | 21.4% | measured |
| 128 | Qwen3.5-35B-A3B | 21.0% | measured |
| 129 | Nemotron 3 Super 100B | 20.8% | measured |
| 130 | o3 | 20.1% | measured |
| 131 | Qwen3.5 397B | 19.8% | measured |
| 132 | Qwen3.5 397B (Reasoning) | 19.8% | measured |
| 133 | GPT-OSS 120B | 19.6% | measured |
| 134 | Gemma 4 26B A4B | 19.3% | measured |
| 135 | Grok 4.1 Fast (Reasoning) | 19.3% | measured |
| 136 | Claude Opus 4.6 | 19.1% | measured |
| 137 | Grok 4 Fast (Reasoning) | 19.1% | measured |
| 138 | Gemini 3.5 Flash-Lite | 18.8% | measured |
| 139 | Claude 4.1 Opus | 18.7% | estimated ± 4.4 pp, high confidence |
| 140 | Quasar 438B | 18.7% | measured |
| 141 | K-EXAONE 2.0 | 18.6% | measured |
| 142 | GLM-5V-Turbo | 17.1% | measured |
| 143 | DeepSeek-R1 | 15.8% | measured |
| 144 | Trinity-Large-Preview | 15.8% | measured |
| 145 | Trinity-Large-Thinking | 15.8% | measured |
| 146 | Gemma 4 12B | 15.7% | measured |
| 147 | Claude Haiku 4.5 | 15.6% | estimated ± 7.4 pp, medium confidence |
| 148 | GLM-4.5 | 15.6% | estimated ± 7.4 pp, medium confidence |
| 149 | Gemini 3 Flash | 15.0% | measured |
| 150 | DeepSeek V3.1 (Reasoning) | 14.3% | measured |
| 151 | Qwen3 235B 2507 | 14.3% | estimated ± 6.5 pp, medium confidence |
| 152 | K-Exaone | 13.9% | measured |
| 153 | Mistral Medium 3.5 128B | 13.8% | measured |
| 154 | Claude Sonnet 4.6 | 13.3% | measured |
| 155 | Claude Opus 4.5 | 13.2% | measured |
| 156 | Claude 4.1 Opus Thinking | 12.5% | measured |
| 157 | o1-preview | 12.2% | estimated ± 4.0 pp, high confidence |
| 158 | Command A+ | 12.0% | measured |
| 159 | Qwen3 Max | 11.9% | measured |
| 160 | Mercury 2.5 | 11.8% | measured |
| 161 | Nemotron 3 Nano 30B | 11.4% | measured |
| 162 | Laguna XS.2 | 11.4% | estimated ± 7.4 pp, medium confidence |
| 163 | DeepSeek V3.2 | 11.2% | measured |
| 164 | Granite 4.2 30B | 11.2% | measured |
| 165 | North Mini Code | 11.1% | measured |
| 166 | GPT-OSS 20B | 11.0% | measured |
| 167 | Sarvam 105B | 11.0% | measured |
| 168 | Laguna M.1 | 10.7% | estimated ± 7.4 pp, low confidence |
| 169 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 10.6% | measured |
| 170 | ZAYA1-8B | 10.5% | estimated ± 4.0 pp, high confidence |
| 171 | Solar Pro 3 | 10.3% | measured |
| 172 | o1-pro | 10.2% | estimated ± 4.4 pp, high confidence |
| 173 | Mistral Small 4 | 9.9% | measured |
| 174 | Mistral Small 4 (Reasoning) | 9.9% | measured |
| 175 | Granite 4.2 8B | 9.7% | measured |
| 176 | LongCat-Flash-Lite-Sparse | 9.5% | estimated ± 4.0 pp, high confidence |
| 177 | Ling 3.0 Tiny | 9.3% | measured |
| 178 | MiniCPM5-2B | 8.9% | measured |
| 179 | MiMo-V2-Flash | 8.6% | measured |
| 180 | Grok Code Fast 1 | 8.0% | measured |
| 181 | o3-mini | 7.9% | measured |
| 182 | Qwen3-Omni-30B-A3B-Thinking | 7.5% | measured |
| 183 | Sarvam 30B | 7.5% | measured |
| 184 | Kimi K2 | 7.4% | measured |
| 185 | Nemotron Ultra 253B | 7.4% | measured |
| 186 | GLM-4.5-Air | 7.0% | measured |
| 187 | o1 | 7.0% | measured |
| 188 | LFM2.5-8B-A1B | 6.9% | measured |
| 189 | Celeris-1 | 6.8% | measured |
| 190 | DeepSeek V3.1 | 6.7% | measured |
| 191 | Granite 4.2 3B | 6.6% | measured |
| 192 | Granite-4.0-H-350M | 6.4% | measured |
| 193 | Ling 2.6 Flash | 6.3% | measured |
| 194 | LFM2.5-2.6B | 6.2% | measured |
| 195 | Exaone 4.0 1.2B | 5.7% | measured |
| 196 | GLM-4.6 | 5.5% | measured |
| 197 | Granite-4.0-350M | 5.5% | measured |
| 198 | Grok 4.1 Fast | 5.1% | measured |
| 199 | LFM2.5-VL-1.6B-Extract | 5.1% | measured |
| 200 | Exaone 4.0 32B | 5.0% | measured |
| 201 | GPT-4.1 mini | 5.0% | measured |
| 202 | Granite-4.0-H-1B | 5.0% | measured |
| 203 | Phi-4 Multimodal Instruct | 5.0% | measured |
| 204 | Claude 3.5 Sonnet | 4.9% | estimated ± 6.5 pp, medium confidence |
| 205 | Llama 4 Maverick | 4.9% | measured |
| 206 | Gemma 4 E2B | 4.8% | measured |
| 207 | Nemotron 3 Nano Omni 30B A3B | 4.8% | measured |
| 208 | DeepSeek V3 0324 | 4.7% | measured |
| 209 | Gemini 2.5 Flash | 4.7% | measured |
| 210 | DeepSeek R1 Distill Qwen 32B | 4.6% | measured |
| 211 | Gemini 1.5 Pro | 4.6% | measured |
| 212 | Qwen3-Omni-30B-A3B-Instruct | 4.6% | measured |
| 213 | Gemma 3 27B | 4.4% | measured |
| 214 | Claude 4 Sonnet | 4.3% | measured |
| 215 | Gemini 1.0 Pro | 4.2% | measured |
| 216 | GPT-4.1 | 4.2% | measured |
| 217 | GPT-4o mini | 4.2% | measured |
| 218 | Mistral Large 3 | 4.2% | measured |
| 219 | Claude 3 Haiku | 4.1% | measured |
| 220 | Mistral Medium 3 | 4.1% | measured |
| 221 | Llama 3.1 405B | 4.0% | measured |
| 222 | Gemma 4 E4B | 3.8% | measured |
| 223 | GPT-4.1 nano | 3.8% | measured |
| 224 | Llama 4 Scout | 3.8% | measured |
| 225 | Phi-4 | 3.8% | measured |
| 226 | Solar Pro 2 | 3.7% | measured |
| 227 | Ultravox v0.6 Llama 3.3 70B | 3.6% | measured |
| 228 | Qwen2.5 Coder 32B Instruct | 3.5% | measured |
| 229 | Mistral Large 2 | 3.3% | measured |
| 230 | Mellum2-12B-A2.5B-Thinking | 3.3% | estimated ± 4.0 pp, medium confidence |
| 231 | Nova Pro | 3.2% | measured |
| 232 | ZAYA1-74B-Preview | 3.2% | estimated ± 4.0 pp, medium confidence |
| 233 | GPT-4 Turbo | 3.1% | measured |
| 234 | DeepSeek V3 | 2.9% | measured |
| 235 | Claude 3 Opus | 2.8% | measured |
| 236 | GPT-4o | 2.4% | measured |
| 237 | LFM2.5-230M | 0.0% | estimated ± 4.0 pp, medium confidence |
| 238 | LFM2.5-VL-450M | 0.0% | estimated ± 6.5 pp, low confidence |
| 239 | LLaDA2.2-mini | 0.0% | estimated ± 4.0 pp, medium confidence |
| 240 | Mellum2-12B-A2.5B-Instruct | 0.0% | estimated ± 4.0 pp, medium confidence |
| 241 | MiniCPM5-1B | 0.0% | estimated ± 4.0 pp, medium confidence |
| 242 | Soofi S 30B-A3B | 0.0% | estimated ± 4.0 pp, medium 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