Coding
SWE-bench Verified leaderboard
As of 2026-10-07, the highest measured score on SWE-bench Verified is 96.0% by Claude Opus 5. 140 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 | 96.5% | estimated ± 0.8 pp, low confidence |
| 2 | Claude Opus 5 | 96.0% | measured |
| 3 | Gemini 3.8 Flash | 95.8% | estimated ± 4.4 pp, high confidence |
| 4 | Claude Mythos 5 | 95.5% | measured |
| 5 | GPT-6 Astra | 95.3% | estimated ± 0.8 pp, medium confidence |
| 6 | Claude Fable 5 | 95.0% | measured |
| 7 | Claude Fable 5.1 | 94.6% | estimated ± 2.5 pp, medium confidence |
| 8 | Muse Spark 1.3 | 94.3% | estimated ± 5.2 pp, low confidence |
| 9 | Pareto 26.9 | 93.4% | estimated ± 5.2 pp, low confidence |
| 10 | Ember-1 | 92.2% | measured |
| 11 | GPT-6.1 Sol | 91.9% | estimated ± 5.2 pp, low confidence |
| 12 | MiMo-V2.6-Pro | 91.9% | estimated ± 5.2 pp, low confidence |
| 13 | SWE-2 | 91.8% | estimated ± 0.8 pp, medium confidence |
| 14 | Grok 4.7 | 91.3% | estimated ± 5.2 pp, low confidence |
| 15 | Sakana Fugu-Ultra | 91.1% | estimated ± 2.5 pp, high confidence |
| 16 | Pareto 26.10 Preview | 90.6% | estimated ± 5.2 pp, low confidence |
| 17 | Grok 4.6 | 90.5% | estimated ± 4.4 pp, high confidence |
| 18 | GPT-6 Sol | 89.8% | estimated ± 5.2 pp, low confidence |
| 19 | Gemini 3.6 Flash | 89.6% | estimated ± 4.4 pp, high confidence |
| 20 | MiMo-V2.6-Flash | 89.2% | estimated ± 5.2 pp, low confidence |
| 21 | Step 5 Preview | 89.1% | estimated ± 5.2 pp, low confidence |
| 22 | Gemini 4 Argon | 89.0% | estimated ± 4.4 pp, medium confidence |
| 23 | Claude Opus 4.8 | 88.6% | measured |
| 24 | Claude Haiku 5.5 | 88.4% | estimated ± 0.8 pp, medium confidence |
| 25 | GPT-6 Luna | 88.4% | estimated ± 5.2 pp, low confidence |
| 26 | Claude Sonnet 5.5 | 88.3% | estimated ± 0.8 pp, medium confidence |
| 27 | Claude Opus 4.7 (Adaptive) | 87.6% | measured |
| 28 | Ling 3.1 Flash | 87.2% | estimated ± 6.6 pp, medium confidence |
| 29 | Mistral Large 4 | 86.4% | estimated ± 4.4 pp, medium confidence |
| 30 | Gemini 3.7 Flash | 86.2% | estimated ± 0.8 pp, medium confidence |
| 31 | Ornith-1.5-397B | 86.0% | measured |
| 32 | Grok 4.5 | 85.8% | estimated ± 2.5 pp, high confidence |
| 33 | GPT-5.5 | 85.7% | estimated ± 0.8 pp, medium confidence |
| 34 | GPT-5.6 Sol | 85.7% | estimated ± 2.5 pp, high confidence |
| 35 | SWE-1.7 | 85.3% | estimated ± 0.8 pp, medium confidence |
| 36 | Qwen3.8 Max Preview | 85.2% | estimated ± 5.5 pp, medium confidence |
| 37 | Claude Sonnet 5 | 85.2% | measured |
| 38 | GPT-5.3 Codex | 85.0% | measured |
| 39 | Muse Spark 1.2 | 84.9% | estimated ± 4.5 pp, high confidence |
| 40 | GPT-5.6 Terra | 84.9% | estimated ± 2.5 pp, high confidence |
| 41 | GPT-5.6 Luna | 84.4% | estimated ± 2.5 pp, high confidence |
| 42 | DeepSeek V4.1 Flash | 84.1% | estimated ± 2.4 pp, medium confidence |
| 43 | Muse Spark 1.1 | 83.5% | estimated ± 2.5 pp, high confidence |
| 44 | Claude Opus 4.7 | 83.1% | estimated ± 0.8 pp, medium confidence |
| 45 | Hy4 preview | 82.9% | estimated ± 2.4 pp, high confidence |
| 46 | GLM-5.3 | 82.7% | estimated ± 2.4 pp, high confidence |
| 47 | Ornith-1.0-397B | 82.4% | measured |
| 48 | GLM-5.3-Flash | 82.3% | estimated ± 2.4 pp, high confidence |
| 49 | Qwen3.8 Max | 82.2% | estimated ± 2.4 pp, high confidence |
| 50 | Atria Dawn Preview | 82.2% | estimated ± 2.5 pp, high confidence |
| 51 | Laguna S 2.1 | 82.0% | estimated ± 2.5 pp, high confidence |
| 52 | Quasar 438B | 81.9% | estimated ± 5.5 pp, medium confidence |
| 53 | Apodex 1.1 Mini | 81.8% | estimated ± 5.5 pp, medium confidence |
| 54 | Claude Opus 4.6 (Adaptive) | 81.7% | estimated ± 4.4 pp, high confidence |
| 55 | Sakana Fugu | 81.7% | estimated ± 2.5 pp, high confidence |
| 56 | Composer 2.5 | 81.4% | estimated ± 4.5 pp, high confidence |
| 57 | Kimi K3 | 81.2% | estimated ± 4.4 pp, high confidence |
| 58 | Hy3 | 81.0% | estimated ± 5.5 pp, medium confidence |
| 59 | Claude Opus 4.5 | 80.9% | measured |
| 60 | Beam | 80.9% | measured |
| 61 | Claude Opus 4.6 | 80.8% | measured |
| 62 | GPT-5.4 | 80.7% | estimated ± 2.5 pp, high confidence |
| 63 | DeepSeek V4 Pro 0813 | 80.6% | measured |
| 64 | MiniMax M3 | 80.5% | measured |
| 65 | GLM-5.2 | 80.4% | estimated ± 2.4 pp, high confidence |
| 66 | Qwen3.8-Omni-Flash | 80.4% | estimated ± 2.4 pp, high confidence |
| 67 | Qwen3.7 Max | 80.4% | measured |
| 68 | MiMo-V2.5-Pro | 80.3% | estimated ± 2.5 pp, high confidence |
| 69 | GPT-5.4 mini | 80.2% | estimated ± 0.8 pp, medium confidence |
| 70 | Inkling-Small | 80.2% | measured |
| 71 | Kimi K2.6 | 80.2% | measured |
| 72 | Qwen3.8-Flash-Next | 80.2% | estimated ± 2.4 pp, high confidence |
| 73 | GPT-5.2 | 80.0% | measured |
| 74 | Seed 2.1 Pro | 79.9% | estimated ± 2.4 pp, high confidence |
| 75 | Ling 3.0 Flash | 79.8% | estimated ± 2.5 pp, high confidence |
| 76 | Claude Sonnet 4.6 | 79.6% | measured |
| 77 | Step 3.7 Flash | 79.6% | estimated ± 2.5 pp, high confidence |
| 78 | MiMo-V2.5 | 79.4% | estimated ± 2.5 pp, high confidence |
| 79 | DeepSeek V4 Flash 0731 | 79.0% | measured |
| 80 | Ornith-1.5-35B-A3B | 79.0% | measured |
| 81 | Seed 2.1 Turbo | 78.8% | estimated ± 2.4 pp, high confidence |
| 82 | GPT-5.2-Codex | 78.8% | estimated ± 4.4 pp, high confidence |
| 83 | Qwen3.6 Plus | 78.8% | measured |
| 84 | Gemini 3.5 Flash | 78.6% | estimated ± 2.5 pp, high confidence |
| 85 | Qwen 3.6 Max (preview) | 78.5% | estimated ± 2.4 pp, high confidence |
| 86 | GLM-5.1 | 78.5% | estimated ± 2.4 pp, high confidence |
| 87 | BTL-4 | 78.4% | measured |
| 88 | dots3-note Preview | 78.4% | measured |
| 89 | Qwen3.8-27B | 78.3% | estimated ± 2.4 pp, high confidence |
| 90 | DeepSeek V3.2 | 78.0% | estimated ± 4.8 pp, medium confidence |
| 91 | MiMo-V2-Pro | 78.0% | measured |
| 92 | Gemini 3.5 Flash-Lite | 77.8% | estimated ± 2.5 pp, high confidence |
| 93 | GLM-5 | 77.8% | measured |
| 94 | Apodex 1.1 | 77.7% | measured |
| 95 | Qwen3.7 Plus | 77.7% | measured |
| 96 | Gemini 3.1 Pro | 77.7% | estimated ± 4.4 pp, high confidence |
| 97 | Inkling | 77.6% | measured |
| 98 | Mistral Medium 3.5 128B | 77.6% | measured |
| 99 | Muse Spark | 77.4% | measured |
| 100 | MiniMax M2.7 | 77.4% | estimated ± 2.4 pp, high confidence |
| 101 | Claude Sonnet 4.5 | 77.2% | measured |
| 102 | Qwen3.6-27B | 77.2% | measured |
| 103 | Ling 3.0 Flash FP8 | 76.8% | estimated ± 5.5 pp, medium confidence |
| 104 | Kimi K2.5 | 76.8% | measured |
| 105 | Kimi K2.5 (Reasoning) | 76.8% | measured |
| 106 | Grok 4.20 | 76.7% | measured |
| 107 | GPT-5.4 nano | 76.6% | estimated ± 4.4 pp, high confidence |
| 108 | GPT-5.1 | 76.3% | estimated ± 4.4 pp, high confidence |
| 109 | Grok 4.3 | 76.3% | estimated ± 4.4 pp, high confidence |
| 110 | Qwen3.5 Flash | 76.3% | estimated ± 4.4 pp, high confidence |
| 111 | Kimi K2.7 Code | 76.3% | estimated ± 4.4 pp, high confidence |
| 112 | GLM-4.5 | 76.3% | estimated ± 4.4 pp, high confidence |
| 113 | Qwen3.5 397B | 76.2% | measured |
| 114 | GLM-5 (Reasoning) | 76.1% | estimated ± 4.4 pp, high confidence |
| 115 | Muse Glimmer 30B | 76.0% | measured |
| 116 | Claude Sonnet 4.5 Thinking | 75.9% | estimated ± 4.4 pp, high confidence |
| 117 | GPT-5.1-Codex-Max | 75.8% | estimated ± 4.4 pp, high confidence |
| 118 | Composer 2 | 75.7% | estimated ± 4.8 pp, medium confidence |
| 119 | Ornith-1.0-35B | 75.6% | measured |
| 120 | Claude Opus 4.5 Thinking | 75.5% | estimated ± 4.4 pp, high confidence |
| 121 | Gemini 3 Flash | 75.5% | estimated ± 4.4 pp, high confidence |
| 122 | GPT-5 (high) | 75.4% | estimated ± 4.4 pp, high confidence |
| 123 | MiMo-V2-Omni | 74.8% | measured |
| 124 | Qwen3.5 Plus | 74.6% | estimated ± 4.4 pp, high confidence |
| 125 | Laguna M.1 | 74.6% | measured |
| 126 | Claude 4.1 Opus | 74.5% | measured |
| 127 | MiniMax M2.5 | 74.5% | estimated ± 4.4 pp, high confidence |
| 128 | Hy3 Preview | 74.4% | measured |
| 129 | Gemini 3 Pro | 74.4% | estimated ± 4.4 pp, high confidence |
| 130 | GPT-5 mini | 74.3% | estimated ± 4.4 pp, high confidence |
| 131 | GPT-5.1-Codex | 74.1% | estimated ± 4.4 pp, high confidence |
| 132 | Claude Haiku 4.5 Thinking | 73.8% | estimated ± 4.4 pp, high confidence |
| 133 | GLM-4.7 | 73.8% | measured |
| 134 | MAI-Thinking-1 | 73.5% | measured |
| 135 | MiMo-V2-Flash | 73.4% | measured |
| 136 | Qwen3.6-35B-A3B | 73.4% | measured |
| 137 | Claude Haiku 4.5 | 73.3% | measured |
| 138 | Claude 4 Sonnet | 72.7% | measured |
| 139 | DeepSeek V3.2 (Thinking) | 72.6% | estimated ± 4.4 pp, high confidence |
| 140 | MAI-Code-1.1-Flash | 72.6% | measured |
| 141 | Qwen3.5-27B | 72.4% | measured |
| 142 | Ling 3.0 Flash VL | 72.4% | estimated ± 6.6 pp, medium confidence |
| 143 | Qwen3 Max | 72.3% | estimated ± 4.4 pp, high confidence |
| 144 | GLM-4.6 | 72.2% | estimated ± 4.4 pp, high confidence |
| 145 | BTL-3 | 72.2% | estimated ± 10.5 pp, low confidence |
| 146 | Qwen3.5-122B-A10B | 72.0% | measured |
| 147 | Nemotron 3 Ultra | 71.9% | measured |
| 148 | Grok 4.1 Fast (Reasoning) | 71.9% | estimated ± 4.4 pp, high confidence |
| 149 | Gemini 3.1 Flash-Lite | 71.7% | estimated ± 4.4 pp, medium confidence |
| 150 | Grok 4 Fast (Reasoning) | 71.7% | estimated ± 4.4 pp, medium confidence |
| 151 | Laguna XS 2.1 | 70.9% | measured |
| 152 | Grok Code Fast 1 | 70.8% | measured |
| 153 | Ornith-1.5-9B | 70.6% | measured |
| 154 | Solar Pro 4 | 70.6% | measured |
| 155 | Solar Open 2 | 70.4% | measured |
| 156 | Laguna XS.2 | 69.9% | measured |
| 157 | Ornith-1.0-9B | 69.4% | measured |
| 158 | Qwen3.5-35B-A3B | 69.2% | measured |
| 159 | K-EXAONE 2.0 | 68.2% | measured |
| 160 | LongCat-Flash-Lite-Sparse | 68.2% | measured |
| 161 | o1 | 68.1% | estimated ± 5.5 pp, medium confidence |
| 162 | Gemma 4 26B A4B | 67.7% | estimated ± 5.5 pp, medium confidence |
| 163 | A.X K2 | 66.4% | estimated ± 5.7 pp, medium confidence |
| 164 | Nemotron 3 Super 100B | 65.9% | estimated ± 5.5 pp, medium confidence |
| 165 | DeepSeek V3 0324 | 64.6% | estimated ± 6.6 pp, medium confidence |
| 166 | North Mini Code | 64.3% | estimated ± 6.6 pp, medium confidence |
| 167 | Gemini 2.5 Pro | 63.8% | measured |
| 168 | Mercury 2.5 | 62.2% | estimated ± 5.7 pp, medium confidence |
| 169 | Mellum2-12B-A2.5B-Thinking | 61.9% | estimated ± 10.5 pp, low confidence |
| 170 | o1-preview | 61.3% | estimated ± 5.5 pp, medium confidence |
| 171 | Gemma 4 31B | 60.8% | estimated ± 4.8 pp, low confidence |
| 172 | Ternary Bonsai 2 27B | 60.8% | measured |
| 173 | ZAYA1-8B | 59.4% | estimated ± 10.5 pp, low confidence |
| 174 | K-Exaone | 58.5% | estimated ± 5.5 pp, medium confidence |
| 175 | Granite 4.2 30B | 57.0% | measured |
| 176 | Gemma 4 12B | 56.8% | estimated ± 5.5 pp, medium confidence |
| 177 | GPT-OSS 120B | 55.9% | estimated ± 5.5 pp, medium confidence |
| 178 | GPT-4.1 | 54.6% | measured |
| 179 | ZAYA1-74B-Preview | 53.2% | measured |
| 180 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 52.8% | measured |
| 181 | Command A+ | 51.5% | estimated ± 5.5 pp, medium confidence |
| 182 | Agents-A1-4B | 50.4% | estimated ± 5.7 pp, medium confidence |
| 183 | o3-mini | 49.3% | measured |
| 184 | LLaDA2.2-flash | 49.3% | measured |
| 185 | Mistral Small 4 | 49.2% | estimated ± 5.5 pp, medium confidence |
| 186 | Mistral Small 4 (Reasoning) | 49.2% | estimated ± 5.5 pp, medium confidence |
| 187 | Claude 3.5 Sonnet | 49.0% | measured |
| 188 | Granite 4.2 8B | 47.7% | measured |
| 189 | Trinity-Large-Preview | 47.5% | estimated ± 5.5 pp, medium confidence |
| 190 | Trinity-Large-Thinking | 47.5% | estimated ± 5.5 pp, medium confidence |
| 191 | Ling 2.6 Flash | 46.5% | estimated ± 5.5 pp, medium confidence |
| 192 | MiniCPM5-2B | 46.4% | measured |
| 193 | Solar Pro 3 | 44.4% | estimated ± 6.6 pp, low confidence |
| 194 | Gemini 1.5 Pro | 43.1% | estimated ± 5.5 pp, medium confidence |
| 195 | Granite 4.2 3B | 42.7% | estimated ± 5.7 pp, low confidence |
| 196 | Ling 3.0 Tiny | 42.4% | estimated ± 6.6 pp, low confidence |
| 197 | DeepSeek V3 | 42.0% | measured |
| 198 | Mellum2-12B-A2.5B-Instruct | 38.5% | estimated ± 10.5 pp, low confidence |
| 199 | GPT-4 Turbo | 38.3% | estimated ± 5.5 pp, medium confidence |
| 200 | GPT-OSS 20B | 36.5% | estimated ± 5.5 pp, medium confidence |
| 201 | MiniCPM5-1B | 35.4% | estimated ± 10.5 pp, low confidence |
| 202 | Mistral Large 3 | 35.0% | estimated ± 5.5 pp, low confidence |
| 203 | Claude 3 Opus | 33.7% | estimated ± 5.5 pp, low confidence |
| 204 | LLaDA2.2-mini | 30.6% | estimated ± 10.5 pp, low confidence |
| 205 | Llama 4 Maverick | 25.7% | estimated ± 5.5 pp, low confidence |
| 206 | GPT-4.1 mini | 23.6% | measured |
| 207 | Celeris-1 | 21.0% | estimated ± 5.5 pp, low confidence |
| 208 | Nemotron 3 Nano 30B | 21.0% | estimated ± 5.5 pp, low confidence |
| 209 | Nemotron 3 Nano Omni 30B A3B | 19.5% | estimated ± 5.5 pp, low confidence |
| 210 | Ultravox v0.6 Llama 3.3 70B | 15.1% | estimated ± 5.5 pp, low confidence |
| 211 | GPT-4o mini | 13.9% | estimated ± 5.5 pp, low confidence |
| 212 | GPT-4.1 nano | 13.3% | estimated ± 5.5 pp, low confidence |
| 213 | Gemma 3 27B | 11.0% | estimated ± 5.5 pp, low confidence |
| 214 | Gemma 4 E4B | 9.6% | estimated ± 5.5 pp, low confidence |
| 215 | Llama 4 Scout | 7.3% | estimated ± 5.5 pp, low confidence |
| 216 | LFM2.5-2.6B | 6.6% | estimated ± 5.5 pp, low confidence |
| 217 | Gemma 4 E2B | 5.7% | estimated ± 5.5 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