Coding
AA Coding Index leaderboard
As of 2026-10-07, the highest measured score on AA Coding Index is 81.6% by Claude Fable 5.1. 117 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Composer 2 | 88.9% | estimated ± 11.4 pp, low confidence |
| 2 | Composer 2 Fast | 87.1% | estimated ± 11.4 pp, low confidence |
| 3 | Claude Opus 5.5 | 83.9% | estimated ± 1.0 pp, medium confidence |
| 4 | Claude Sonnet 5.5 | 83.0% | estimated ± 1.0 pp, medium confidence |
| 5 | Claude Fable 5.1 | 81.6% | measured |
| 6 | Grok 4.7 | 79.0% | estimated ± 1.0 pp, high confidence |
| 7 | Claude Mythos 5 | 78.9% | estimated ± 5.1 pp, medium confidence |
| 8 | Gemini 4 Argon | 78.6% | estimated ± 2.5 pp, medium confidence |
| 9 | Claude Opus 5 | 78.0% | measured |
| 10 | Ember-1 | 77.8% | estimated ± 2.5 pp, high confidence |
| 11 | DeepSeek V4.1 Flash | 77.5% | estimated ± 2.5 pp, high confidence |
| 12 | Pareto 26.9 | 77.4% | estimated ± 2.5 pp, high confidence |
| 13 | GPT-5.6 Sol | 77.4% | measured |
| 14 | SWE-2 | 77.1% | estimated ± 2.5 pp, high confidence |
| 15 | GPT-6 Astra | 76.9% | measured |
| 16 | Grok 4.6 | 76.8% | measured |
| 17 | GPT-6.1 Sol | 76.7% | estimated ± 2.5 pp, high confidence |
| 18 | MiMo-V2.6-Pro | 76.7% | estimated ± 2.5 pp, high confidence |
| 19 | GPT-5.6 Terra | 76.7% | measured |
| 20 | Claude Fable 5 | 76.5% | measured |
| 21 | Gemini 3.8 Flash | 76.3% | measured |
| 22 | Kimi K3 | 76.2% | measured |
| 23 | Pareto 26.10 Preview | 76.1% | estimated ± 2.5 pp, high confidence |
| 24 | Gemini 3.7 Flash | 76.1% | measured |
| 25 | GPT-6 Sol | 75.8% | estimated ± 2.5 pp, high confidence |
| 26 | Muse Spark 1.3 | 75.8% | measured |
| 27 | MiMo-V2.6-Flash | 75.5% | estimated ± 2.5 pp, high confidence |
| 28 | Step 5 Preview | 75.5% | estimated ± 2.5 pp, high confidence |
| 29 | Claude Haiku 5.5 | 75.2% | estimated ± 3.3 pp, high confidence |
| 30 | GPT-6 Luna | 75.1% | estimated ± 2.5 pp, high confidence |
| 31 | GPT-5.5 | 74.9% | measured |
| 32 | GLM-5.3 | 74.8% | measured |
| 33 | Hy4 preview | 74.4% | estimated ± 2.5 pp, high confidence |
| 34 | Claude Opus 4.8 | 74.3% | measured |
| 35 | GLM-5.3-Flash | 74.1% | estimated ± 2.5 pp, high confidence |
| 36 | Claude Opus 4.7 (Adaptive) | 73.6% | measured |
| 37 | Claude Opus 4.7 | 73.5% | estimated ± 3.1 pp, high confidence |
| 38 | SWE-1.7 | 73.5% | estimated ± 3.3 pp, high confidence |
| 39 | Qwen3.8-Flash-Next | 73.1% | measured |
| 40 | Grok 4.5 | 72.5% | measured |
| 41 | Qwen3.8-Omni-Flash | 72.4% | estimated ± 2.5 pp, high confidence |
| 42 | Muse Spark 1.2 | 72.2% | measured |
| 43 | Qwen3.8 Max | 72.0% | estimated ± 2.5 pp, high confidence |
| 44 | Ornith-1.5-397B | 71.8% | estimated ± 2.5 pp, high confidence |
| 45 | Qwen3.8 Max Preview | 71.8% | measured |
| 46 | Claude Sonnet 5 | 71.6% | measured |
| 47 | GPT-5.6 Luna | 71.5% | measured |
| 48 | Muse Spark 1.1 | 71.3% | measured |
| 49 | GPT-5.4 | 71.1% | measured |
| 50 | Mistral Large 4 | 70.6% | estimated ± 6.4 pp, medium confidence |
| 51 | Ling 3.1 Flash | 70.4% | estimated ± 6.4 pp, medium confidence |
| 52 | Gemini 3.5 Flash | 70.1% | measured |
| 53 | Gemini 3.6 Flash | 69.2% | measured |
| 54 | DeepSeek V4 Flash 0731 | 69.1% | measured |
| 55 | DeepSeek V4 Pro 0813 | 68.8% | measured |
| 56 | Gemini 3.1 Pro | 68.8% | measured |
| 57 | GLM-5.2 | 68.8% | measured |
| 58 | GPT-5.3 Codex | 68.6% | estimated ± 5.1 pp, medium confidence |
| 59 | Beam | 68.3% | estimated ± 2.5 pp, high confidence |
| 60 | dots3-note Preview | 68.1% | estimated ± 4.6 pp, high confidence |
| 61 | Qwen3.8-27B | 68.1% | measured |
| 62 | Claude Opus 4.6 (Adaptive) | 67.8% | estimated ± 6.8 pp, medium confidence |
| 63 | Sakana Fugu-Ultra | 67.5% | estimated ± 6.4 pp, low confidence |
| 64 | Laguna S 2.1 | 67.0% | estimated ± 2.5 pp, medium confidence |
| 65 | Ornith-1.0-397B | 66.9% | estimated ± 4.6 pp, high confidence |
| 66 | Sakana Fugu | 66.9% | estimated ± 6.4 pp, low confidence |
| 67 | Qwen3.7 Max | 66.0% | measured |
| 68 | Composer 2.5 | 65.9% | estimated ± 1.0 pp, medium confidence |
| 69 | Seed 2.1 Pro | 65.8% | estimated ± 4.6 pp, high confidence |
| 70 | Atria Dawn Preview | 64.8% | estimated ± 7.5 pp, medium confidence |
| 71 | Seed 2.1 Turbo | 62.3% | estimated ± 4.6 pp, high confidence |
| 72 | Kimi K2.6 | 61.8% | measured |
| 73 | Claude Opus 4.5 | 61.7% | estimated ± 4.6 pp, high confidence |
| 74 | Ornith-1.5-35B-A3B | 61.4% | estimated ± 2.5 pp, medium confidence |
| 75 | Qwen 3.6 Max (preview) | 61.3% | estimated ± 4.6 pp, high confidence |
| 76 | Quasar 438B | 61.2% | measured |
| 77 | Apodex 1.1 | 60.8% | measured |
| 78 | Apodex 1.1 Mini | 60.8% | measured |
| 79 | Kimi K2.7 Code | 60.8% | measured |
| 80 | GPT-5.2 | 60.2% | estimated ± 5.1 pp, medium confidence |
| 81 | MiMo-V2.5-Pro | 60.2% | measured |
| 82 | GLM-4.5 | 59.6% | estimated ± 9.0 pp, low confidence |
| 83 | Gemini 3 Flash | 59.4% | estimated ± 5.8 pp, medium confidence |
| 84 | Hy3 | 58.8% | measured |
| 85 | Hy3 Preview | 58.8% | measured |
| 86 | Muse Spark | 58.6% | measured |
| 87 | MiniMax M3 | 58.6% | measured |
| 88 | BTL-3 | 57.4% | estimated ± 6.4 pp, medium confidence |
| 89 | BTL-4 | 57.2% | estimated ± 5.1 pp, medium confidence |
| 90 | MiMo-V2-Pro | 56.4% | estimated ± 5.1 pp, medium confidence |
| 91 | GPT-5.2-Codex | 56.2% | estimated ± 5.8 pp, medium confidence |
| 92 | GPT-5.4 mini | 56.1% | measured |
| 93 | GPT-5.4 nano | 56.1% | measured |
| 94 | GLM-5 | 56.0% | estimated ± 5.1 pp, medium confidence |
| 95 | Claude Opus 4.6 | 55.9% | estimated ± 3.3 pp, medium confidence |
| 96 | Qwen3.7 Plus | 55.9% | measured |
| 97 | GLM-5.1 | 55.8% | measured |
| 98 | Claude Sonnet 4.5 | 54.8% | estimated ± 5.1 pp, medium confidence |
| 99 | Qwen3.6 Plus | 54.5% | measured |
| 100 | MiMo-V2.5 | 54.3% | estimated ± 5.8 pp, medium confidence |
| 101 | Grok 4.20 | 53.8% | estimated ± 5.1 pp, medium confidence |
| 102 | Qwen3.6-27B | 53.7% | measured |
| 103 | Inkling-Small | 52.9% | measured |
| 104 | Qwen3.5 397B | 52.8% | estimated ± 5.1 pp, medium confidence |
| 105 | MiniMax M2.7 | 52.6% | measured |
| 106 | Inkling | 52.1% | measured |
| 107 | GLM-5 (Reasoning) | 51.4% | estimated ± 6.8 pp, medium confidence |
| 108 | Claude Sonnet 4.5 Thinking | 51.0% | estimated ± 6.8 pp, medium confidence |
| 109 | GPT-5.1-Codex-Max | 50.7% | estimated ± 6.8 pp, medium confidence |
| 110 | Ling 3.0 Flash | 50.6% | measured |
| 111 | Ling 3.0 Flash FP8 | 50.6% | measured |
| 112 | MiMo-V2-Omni | 50.0% | estimated ± 5.1 pp, medium confidence |
| 113 | Claude Opus 4.5 Thinking | 49.9% | estimated ± 6.8 pp, medium confidence |
| 114 | MiMo-V2-Flash | 49.8% | measured |
| 115 | Laguna M.1 | 49.6% | estimated ± 5.1 pp, medium confidence |
| 116 | Claude Sonnet 4.6 | 49.5% | estimated ± 3.3 pp, medium confidence |
| 117 | Claude 4.1 Opus | 49.4% | estimated ± 5.1 pp, medium confidence |
| 118 | GPT-5.1 | 49.4% | measured |
| 119 | Gemini 3.5 Flash-Lite | 49.3% | measured |
| 120 | Nemotron 3 Ultra | 49.3% | measured |
| 121 | Muse Glimmer 30B | 49.0% | measured |
| 122 | Ornith-1.0-35B | 48.8% | estimated ± 4.6 pp, high confidence |
| 123 | Ling 3.0 Flash VL | 48.7% | estimated ± 6.4 pp, medium confidence |
| 124 | MAI-Thinking-1 | 47.5% | estimated ± 5.1 pp, medium confidence |
| 125 | Qwen3.5 Plus | 47.2% | estimated ± 6.8 pp, medium confidence |
| 126 | Claude Haiku 4.5 | 47.1% | estimated ± 5.1 pp, medium confidence |
| 127 | Mistral Medium 3.5 128B | 46.9% | measured |
| 128 | Kimi K2.5 | 46.8% | measured |
| 129 | Kimi K2.5 (Reasoning) | 46.8% | measured |
| 130 | MiniMax M2.5 | 46.7% | estimated ± 6.8 pp, medium confidence |
| 131 | Gemini 3 Pro | 46.4% | estimated ± 6.8 pp, medium confidence |
| 132 | GPT-5 mini | 46.4% | estimated ± 6.8 pp, medium confidence |
| 133 | Claude 4 Sonnet | 46.0% | estimated ± 5.1 pp, medium confidence |
| 134 | GPT-5.1-Codex | 45.8% | estimated ± 6.8 pp, medium confidence |
| 135 | MAI-Code-1.1-Flash | 45.8% | estimated ± 5.1 pp, medium confidence |
| 136 | Qwen3.5-122B-A10B | 45.7% | measured |
| 137 | Ornith-1.5-9B | 45.5% | estimated ± 4.6 pp, high confidence |
| 138 | Qwen3.5-27B | 45.4% | estimated ± 5.1 pp, medium confidence |
| 139 | Qwen3.5 Flash | 45.3% | estimated ± 5.8 pp, medium confidence |
| 140 | GLM-4.7 | 45.3% | measured |
| 141 | Claude Haiku 4.5 Thinking | 44.9% | estimated ± 6.8 pp, medium confidence |
| 142 | Gemma 4 31B | 43.4% | measured |
| 143 | Gemini 3.1 Flash-Lite | 43.1% | estimated ± 5.8 pp, medium confidence |
| 144 | Laguna XS 2.1 | 42.7% | estimated ± 5.1 pp, medium confidence |
| 145 | Grok Code Fast 1 | 42.5% | estimated ± 5.1 pp, medium confidence |
| 146 | Grok 4.3 | 42.3% | measured |
| 147 | Solar Pro 4 | 42.1% | estimated ± 5.1 pp, medium confidence |
| 148 | Qwen3.6-35B-A3B | 41.9% | measured |
| 149 | Solar Open 2 | 41.8% | estimated ± 5.1 pp, medium confidence |
| 150 | Grok 4 | 41.6% | estimated ± 11.4 pp, low confidence |
| 151 | DeepSeek V3.2 (Thinking) | 41.4% | estimated ± 6.8 pp, medium confidence |
| 152 | Laguna XS.2 | 40.9% | estimated ± 5.1 pp, medium confidence |
| 153 | Qwen3 Max | 40.5% | estimated ± 6.8 pp, medium confidence |
| 154 | GLM-4.6 | 40.3% | estimated ± 6.8 pp, medium confidence |
| 155 | A.X K2 | 40.3% | estimated ± 6.4 pp, medium confidence |
| 156 | Qwen3.5-35B-A3B | 39.7% | estimated ± 5.1 pp, medium confidence |
| 157 | o1 | 39.7% | measured |
| 158 | Ornith-1.0-9B | 39.6% | estimated ± 4.6 pp, medium confidence |
| 159 | Step 3.7 Flash | 39.6% | measured |
| 160 | Gemma 4 26B A4B | 39.3% | measured |
| 161 | Grok 4.1 Fast (Reasoning) | 39.3% | estimated ± 6.8 pp, medium confidence |
| 162 | DeepSeek V3.2 | 39.1% | estimated ± 11.4 pp, low confidence |
| 163 | Grok 4 Fast (Reasoning) | 38.6% | estimated ± 6.8 pp, low confidence |
| 164 | K-EXAONE 2.0 | 38.2% | estimated ± 5.1 pp, medium confidence |
| 165 | LongCat-Flash-Lite-Sparse | 38.2% | estimated ± 5.1 pp, medium confidence |
| 166 | GPT-5 (high) | 37.8% | measured |
| 167 | Nemotron 3 Super 100B | 37.7% | measured |
| 168 | DeepSeek V3 0324 | 35.2% | estimated ± 6.4 pp, medium confidence |
| 169 | North Mini Code | 34.7% | estimated ± 6.4 pp, medium confidence |
| 170 | o1-preview | 34.1% | measured |
| 171 | Mercury 2.5 | 34.0% | estimated ± 6.4 pp, medium confidence |
| 172 | Gemini 2.5 Pro | 33.3% | measured |
| 173 | K-Exaone | 32.1% | measured |
| 174 | Gemma 4 12B | 31.0% | measured |
| 175 | GPT-OSS 120B | 30.4% | measured |
| 176 | Ternary Bonsai 2 27B | 29.4% | estimated ± 5.1 pp, medium confidence |
| 177 | Command A+ | 27.9% | measured |
| 178 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 26.8% | measured |
| 179 | Granite 4.2 30B | 26.7% | estimated ± 5.1 pp, medium confidence |
| 180 | Mistral Small 4 | 26.6% | measured |
| 181 | Mistral Small 4 (Reasoning) | 26.6% | measured |
| 182 | Trinity-Large-Preview | 25.8% | measured |
| 183 | Trinity-Large-Thinking | 25.8% | measured |
| 184 | GPT-4.1 | 25.5% | estimated ± 5.1 pp, medium confidence |
| 185 | Ling 2.6 Flash | 25.3% | measured |
| 186 | ZAYA1-74B-Preview | 24.9% | estimated ± 5.1 pp, medium confidence |
| 187 | o3-mini | 23.8% | estimated ± 5.1 pp, medium confidence |
| 188 | LLaDA2.2-flash | 23.8% | estimated ± 5.1 pp, medium confidence |
| 189 | Claude 3.5 Sonnet | 23.7% | estimated ± 5.1 pp, medium confidence |
| 190 | Gemini 1.5 Pro | 23.6% | measured |
| 191 | MiniCPM5-2B | 23.2% | estimated ± 5.1 pp, medium confidence |
| 192 | DeepSeek V3 | 23.0% | measured |
| 193 | Granite 4.2 8B | 22.4% | measured |
| 194 | Mellum2-12B-A2.5B-Thinking | 22.3% | estimated ± 6.4 pp, medium confidence |
| 195 | GPT-4 Turbo | 21.5% | measured |
| 196 | GPT-OSS 20B | 20.7% | measured |
| 197 | GPT-4.1 mini | 20.2% | measured |
| 198 | Mistral Large 3 | 20.1% | measured |
| 199 | Claude 3 Opus | 19.5% | measured |
| 200 | ZAYA1-8B | 16.5% | estimated ± 6.4 pp, medium confidence |
| 201 | Llama 4 Maverick | 16.3% | measured |
| 202 | Celeris-1 | 14.4% | measured |
| 203 | Nemotron 3 Nano 30B | 14.4% | measured |
| 204 | Nemotron 3 Nano Omni 30B A3B | 13.8% | measured |
| 205 | Solar Pro 3 | 12.9% | estimated ± 6.4 pp, medium confidence |
| 206 | Granite 4.2 3B | 12.7% | estimated ± 6.4 pp, medium confidence |
| 207 | Ultravox v0.6 Llama 3.3 70B | 11.9% | measured |
| 208 | Ling 3.0 Tiny | 11.8% | estimated ± 6.4 pp, medium confidence |
| 209 | GPT-4o mini | 11.4% | measured |
| 210 | GPT-4.1 nano | 11.1% | measured |
| 211 | Gemma 3 27B | 10.1% | measured |
| 212 | Agents-A1-4B | 9.7% | estimated ± 6.4 pp, medium confidence |
| 213 | Gemma 4 E4B | 9.4% | measured |
| 214 | Llama 4 Scout | 8.2% | measured |
| 215 | LFM2.5-2.6B | 7.7% | measured |
| 216 | Gemma 4 E2B | 7.2% | measured |
| 217 | Mellum2-12B-A2.5B-Instruct | 0.6% | estimated ± 6.4 pp, low confidence |
| 218 | MiniCPM5-1B | 0.3% | estimated ± 6.4 pp, low confidence |
| 219 | LLaDA2.2-mini | 0.1% | estimated ± 6.4 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