Coding
NL2Repo leaderboard
As of 2026-10-07, the highest measured score on NL2Repo is 65.4% by DeepSeek V4.1 Flash. 168 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 | 81.4% | estimated ± 6.4 pp, low confidence |
| 2 | Claude Mythos 5 | 76.7% | estimated ± 6.1 pp, low confidence |
| 3 | Claude Sonnet 5.5 | 71.6% | estimated ± 6.4 pp, low confidence |
| 4 | Ember-1 | 71.2% | estimated ± 6.1 pp, low confidence |
| 5 | Gemini 4 Argon | 68.6% | estimated ± 6.5 pp, low confidence |
| 6 | MiMo-V2.6-Pro | 67.2% | estimated ± 6.5 pp, low confidence |
| 7 | DeepSeek V4.1 Flash | 65.4% | measured |
| 8 | Step 5 Preview | 64.0% | estimated ± 6.5 pp, medium confidence |
| 9 | GPT-6 Sol | 61.9% | estimated ± 6.5 pp, medium confidence |
| 10 | Grok 4.7 | 61.6% | estimated ± 6.5 pp, medium confidence |
| 11 | DeepSeek V4 Pro 0813 | 61.5% | measured |
| 12 | Pareto 26.9 | 61.3% | estimated ± 6.6 pp, medium confidence |
| 13 | Claude Opus 5 | 60.9% | estimated ± 4.7 pp, medium confidence |
| 14 | SWE-2 | 60.9% | estimated ± 6.6 pp, medium confidence |
| 15 | Claude Fable 5.1 | 60.7% | estimated ± 5.1 pp, low confidence |
| 16 | GPT-5.6 Sol | 60.1% | estimated ± 4.7 pp, high confidence |
| 17 | Pareto 26.10 Preview | 59.7% | estimated ± 6.6 pp, medium confidence |
| 18 | Ornith-1.5-397B | 59.5% | measured |
| 19 | Grok 4.6 | 59.4% | estimated ± 4.7 pp, high confidence |
| 20 | GPT-5.6 Terra | 59.2% | estimated ± 4.7 pp, high confidence |
| 21 | Hy4 preview | 58.9% | measured |
| 22 | Claude Fable 5 | 58.8% | estimated ± 4.7 pp, high confidence |
| 23 | GLM-5.3 | 58.0% | measured |
| 24 | Claude Haiku 5.5 | 57.8% | estimated ± 6.5 pp, medium confidence |
| 25 | Kimi K3 | 57.1% | estimated ± 4.7 pp, high confidence |
| 26 | GPT-6 Luna | 57.1% | estimated ± 6.5 pp, medium confidence |
| 27 | GPT-6 Astra | 57.1% | estimated ± 5.1 pp, low confidence |
| 28 | GPT-5.6 Luna | 56.7% | estimated ± 4.7 pp, high confidence |
| 29 | GPT-6.1 Sol | 56.5% | estimated ± 6.5 pp, medium confidence |
| 30 | Mistral Large 4 | 56.5% | estimated ± 6.5 pp, medium confidence |
| 31 | Ling 3.1 Flash | 56.3% | estimated ± 6.5 pp, medium confidence |
| 32 | GLM-5.3-Flash | 56.3% | measured |
| 33 | Muse Spark 1.3 | 56.2% | estimated ± 5.1 pp, low confidence |
| 34 | Qwen3.8 Max | 55.9% | measured |
| 35 | Claude Opus 4.7 (Adaptive) | 54.5% | estimated ± 5.1 pp, medium confidence |
| 36 | DeepSeek V4 Flash 0731 | 54.2% | measured |
| 37 | Qwen3.8 Max Preview | 53.1% | estimated ± 5.1 pp, medium confidence |
| 38 | Claude Opus 4.8 | 52.5% | estimated ± 4.7 pp, high confidence |
| 39 | GPT-5.4 | 52.5% | estimated ± 5.1 pp, medium confidence |
| 40 | MiMo-V2.6-Flash | 51.8% | estimated ± 6.5 pp, medium confidence |
| 41 | Grok 4.5 | 50.8% | estimated ± 4.7 pp, high confidence |
| 42 | Muse Spark 1.2 | 50.8% | estimated ± 4.7 pp, high confidence |
| 43 | dots3-note Preview | 49.8% | measured |
| 44 | Beam | 49.2% | estimated ± 6.1 pp, medium confidence |
| 45 | Claude Opus 4.6 | 49.0% | estimated ± 6.1 pp, medium confidence |
| 46 | GLM-5.2 | 48.9% | measured |
| 47 | Qwen3.8-Omni-Flash | 48.9% | measured |
| 48 | Ornith-1.0-397B | 48.2% | measured |
| 49 | Qwen3.8-Flash-Next | 48.1% | measured |
| 50 | Sakana Fugu-Ultra | 47.7% | estimated ± 3.1 pp, low confidence |
| 51 | GPT-5.5 | 47.7% | estimated ± 4.7 pp, high confidence |
| 52 | Sakana Fugu | 47.5% | estimated ± 3.1 pp, low confidence |
| 53 | Inkling-Small | 47.4% | estimated ± 4.7 pp, high confidence |
| 54 | Solar Open 2 | 47.3% | estimated ± 3.1 pp, low confidence |
| 55 | GPT-5.2 | 47.3% | estimated ± 6.1 pp, medium confidence |
| 56 | Claude Opus 4.7 | 47.2% | estimated ± 4.7 pp, high confidence |
| 57 | Muse Spark 1.1 | 47.2% | estimated ± 4.7 pp, high confidence |
| 58 | Qwen3.7 Max | 47.2% | measured |
| 59 | Atria Dawn Preview | 47.0% | estimated ± 6.4 pp, medium confidence |
| 60 | Seed 2.1 Pro | 47.0% | measured |
| 61 | Laguna S 2.1 | 46.8% | estimated ± 6.4 pp, medium confidence |
| 62 | Ternary Bonsai 2 27B | 46.4% | estimated ± 3.1 pp, low confidence |
| 63 | Gemini 3.7 Flash | 46.4% | estimated ± 4.7 pp, high confidence |
| 64 | Kimi K2.6 | 46.2% | estimated ± 3.1 pp, low confidence |
| 65 | Ornith-1.5-35B-A3B | 46.2% | measured |
| 66 | Nemotron 3 Ultra | 46.0% | estimated ± 3.1 pp, low confidence |
| 67 | Gemini 3.8 Flash | 45.9% | estimated ± 4.7 pp, high confidence |
| 68 | BTL-3 | 45.6% | estimated ± 3.1 pp, low confidence |
| 69 | Claude Sonnet 5 | 45.6% | estimated ± 4.7 pp, high confidence |
| 70 | Composer 2.5 | 45.6% | estimated ± 4.7 pp, high confidence |
| 71 | Gemini 3.6 Flash | 45.6% | estimated ± 4.7 pp, high confidence |
| 72 | MAI-Thinking-1 | 45.5% | estimated ± 3.1 pp, low confidence |
| 73 | Qwen3.6 Plus | 45.2% | estimated ± 3.1 pp, low confidence |
| 74 | Gemini 3.1 Pro | 45.1% | estimated ± 4.7 pp, high confidence |
| 75 | Gemini 3.5 Flash | 45.1% | estimated ± 4.7 pp, high confidence |
| 76 | Quasar 438B | 44.8% | estimated ± 5.1 pp, medium confidence |
| 77 | Kimi K2.7 Code | 44.7% | estimated ± 4.7 pp, high confidence |
| 78 | GPT-5.3 Codex | 44.6% | estimated ± 4.7 pp, high confidence |
| 79 | Apodex 1.1 | 44.5% | estimated ± 5.1 pp, medium confidence |
| 80 | Apodex 1.1 Mini | 44.5% | estimated ± 5.1 pp, medium confidence |
| 81 | Kimi K2.5 | 44.4% | estimated ± 3.1 pp, low confidence |
| 82 | Inkling | 44.4% | estimated ± 4.7 pp, high confidence |
| 83 | Claude Sonnet 4.6 | 44.3% | estimated ± 4.7 pp, high confidence |
| 84 | A.X K2 | 44.0% | estimated ± 3.1 pp, low confidence |
| 85 | Qwen3.5 397B | 43.8% | estimated ± 3.1 pp, low confidence |
| 86 | Seed 2.1 Turbo | 43.7% | measured |
| 87 | MiMo-V2-Pro | 43.2% | estimated ± 6.1 pp, medium confidence |
| 88 | Claude Opus 4.5 | 43.2% | measured |
| 89 | Gemini 3.5 Flash-Lite | 43.0% | estimated ± 4.7 pp, high confidence |
| 90 | Gemini 3 Flash | 43.0% | estimated ± 4.7 pp, high confidence |
| 91 | Hy3 | 43.0% | estimated ± 5.1 pp, medium confidence |
| 92 | Hy3 Preview | 43.0% | estimated ± 5.1 pp, medium confidence |
| 93 | Qwen 3.6 Max (preview) | 42.9% | measured |
| 94 | GLM-5 | 42.8% | estimated ± 6.1 pp, medium confidence |
| 95 | GLM-5.1 | 42.7% | measured |
| 96 | Muse Spark | 42.7% | estimated ± 4.7 pp, high confidence |
| 97 | MiMo-V2.5-Pro | 42.5% | estimated ± 4.7 pp, high confidence |
| 98 | Qwen3.8-27B | 42.3% | measured |
| 99 | MiniMax M3 | 42.1% | measured |
| 100 | GPT-5.4 mini | 42.0% | estimated ± 4.7 pp, high confidence |
| 101 | GPT-5.2-Codex | 41.7% | estimated ± 4.7 pp, high confidence |
| 102 | Grok 4.20 | 41.6% | estimated ± 4.7 pp, high confidence |
| 103 | Claude Sonnet 4.5 | 41.6% | estimated ± 6.1 pp, medium confidence |
| 104 | Grok 4.3 | 41.3% | estimated ± 4.7 pp, high confidence |
| 105 | MiMo-V2.5 | 41.1% | estimated ± 4.7 pp, high confidence |
| 106 | Qwen3.7 Plus | 41.1% | measured |
| 107 | GPT-5.4 nano | 40.7% | estimated ± 4.7 pp, high confidence |
| 108 | Granite 4.2 30B | 40.5% | estimated ± 3.1 pp, low confidence |
| 109 | GLM-4.7 | 40.5% | estimated ± 4.7 pp, high confidence |
| 110 | Ling 3.0 Flash VL | 40.5% | estimated ± 6.5 pp, medium confidence |
| 111 | MiniMax M2.7 | 39.8% | measured |
| 112 | Claude Haiku 4.5 | 39.6% | estimated ± 4.7 pp, medium confidence |
| 113 | Mistral Medium 3.5 128B | 39.5% | estimated ± 4.7 pp, medium confidence |
| 114 | Granite 4.2 8B | 39.5% | estimated ± 3.1 pp, low confidence |
| 115 | Ling 3.0 Flash | 39.2% | estimated ± 4.7 pp, medium confidence |
| 116 | Qwen3.5 Flash | 38.9% | estimated ± 4.7 pp, medium confidence |
| 117 | Gemma 4 12B | 38.9% | estimated ± 3.1 pp, low confidence |
| 118 | Gemini 3.1 Flash-Lite | 38.5% | estimated ± 4.7 pp, medium confidence |
| 119 | Mellum2-12B-A2.5B-Thinking | 38.0% | estimated ± 3.1 pp, low confidence |
| 120 | Granite 4.2 3B | 37.9% | estimated ± 3.1 pp, low confidence |
| 121 | MiniCPM5-2B | 37.7% | estimated ± 3.1 pp, low confidence |
| 122 | Laguna M.1 | 37.5% | estimated ± 4.7 pp, medium confidence |
| 123 | Laguna XS.2 | 37.2% | estimated ± 4.7 pp, medium confidence |
| 124 | Gemini 2.5 Pro | 37.1% | estimated ± 4.7 pp, medium confidence |
| 125 | MiMo-V2-Omni | 36.8% | estimated ± 6.1 pp, medium confidence |
| 126 | Ling 3.0 Flash FP8 | 36.6% | estimated ± 5.1 pp, medium confidence |
| 127 | BTL-4 | 36.3% | estimated ± 3.1 pp, low confidence |
| 128 | Claude 4.1 Opus | 36.2% | estimated ± 6.1 pp, medium confidence |
| 129 | Qwen3.6-27B | 36.2% | measured |
| 130 | ZAYA1-8B | 36.2% | estimated ± 3.1 pp, low confidence |
| 131 | ZAYA1-74B-Preview | 36.1% | estimated ± 3.1 pp, low confidence |
| 132 | MiMo-V2-Flash | 36.0% | estimated ± 5.1 pp, medium confidence |
| 133 | GPT-5.1 | 35.6% | estimated ± 5.1 pp, medium confidence |
| 134 | Muse Glimmer 30B | 35.3% | estimated ± 5.1 pp, medium confidence |
| 135 | Ornith-1.0-35B | 34.6% | measured |
| 136 | Kimi K2.5 (Reasoning) | 33.6% | estimated ± 5.1 pp, medium confidence |
| 137 | Agents-A1-4B | 33.3% | estimated ± 3.1 pp, low confidence |
| 138 | LFM2.5-2.6B | 33.2% | estimated ± 3.1 pp, low confidence |
| 139 | Claude 4 Sonnet | 32.8% | estimated ± 6.1 pp, medium confidence |
| 140 | Qwen3.5-122B-A10B | 32.8% | estimated ± 5.1 pp, medium confidence |
| 141 | MAI-Code-1.1-Flash | 32.6% | estimated ± 6.1 pp, medium confidence |
| 142 | Ornith-1.5-9B | 32.4% | measured |
| 143 | Qwen3.5-27B | 32.2% | estimated ± 6.1 pp, medium confidence |
| 144 | DeepSeek V3 0324 | 32.2% | estimated ± 6.5 pp, medium confidence |
| 145 | North Mini Code | 31.8% | estimated ± 6.5 pp, medium confidence |
| 146 | Mercury 2.5 | 31.4% | estimated ± 6.5 pp, medium confidence |
| 147 | Gemma 4 31B | 31.0% | estimated ± 5.1 pp, medium confidence |
| 148 | Laguna XS 2.1 | 29.5% | estimated ± 6.1 pp, medium confidence |
| 149 | Qwen3.6-35B-A3B | 29.4% | measured |
| 150 | Grok Code Fast 1 | 29.3% | estimated ± 6.1 pp, medium confidence |
| 151 | Solar Pro 4 | 28.9% | estimated ± 6.1 pp, medium confidence |
| 152 | o1 | 28.1% | estimated ± 5.1 pp, low confidence |
| 153 | Step 3.7 Flash | 28.0% | estimated ± 5.1 pp, low confidence |
| 154 | Gemma 4 26B A4B | 27.8% | estimated ± 5.1 pp, low confidence |
| 155 | Ornith-1.0-9B | 27.2% | measured |
| 156 | GPT-5 (high) | 26.6% | estimated ± 5.1 pp, low confidence |
| 157 | Nemotron 3 Super 100B | 26.5% | estimated ± 5.1 pp, low confidence |
| 158 | Qwen3.5-35B-A3B | 26.5% | estimated ± 6.1 pp, low confidence |
| 159 | K-EXAONE 2.0 | 24.8% | estimated ± 6.1 pp, low confidence |
| 160 | LongCat-Flash-Lite-Sparse | 24.8% | estimated ± 6.1 pp, low confidence |
| 161 | o1-preview | 23.7% | estimated ± 5.1 pp, low confidence |
| 162 | Mellum2-12B-A2.5B-Instruct | 22.2% | estimated ± 3.1 pp, low confidence |
| 163 | K-Exaone | 22.2% | estimated ± 5.1 pp, low confidence |
| 164 | GPT-OSS 120B | 20.9% | estimated ± 5.1 pp, low confidence |
| 165 | MiniCPM5-1B | 20.2% | estimated ± 3.1 pp, low confidence |
| 166 | Command A+ | 18.8% | estimated ± 5.1 pp, low confidence |
| 167 | Nemotron 3.5 Lightning 30B A3B NVFP4 | 18.0% | estimated ± 5.1 pp, low confidence |
| 168 | Mistral Small 4 | 17.9% | estimated ± 5.1 pp, low confidence |
| 169 | Mistral Small 4 (Reasoning) | 17.9% | estimated ± 5.1 pp, low confidence |
| 170 | LLaDA2.2-mini | 17.3% | estimated ± 3.1 pp, low confidence |
| 171 | Trinity-Large-Preview | 17.2% | estimated ± 5.1 pp, low confidence |
| 172 | Trinity-Large-Thinking | 17.2% | estimated ± 5.1 pp, low confidence |
| 173 | Ling 2.6 Flash | 16.8% | estimated ± 5.1 pp, low confidence |
| 174 | Gemini 1.5 Pro | 15.6% | estimated ± 5.1 pp, low confidence |
| 175 | DeepSeek V3 | 15.1% | estimated ± 5.1 pp, low confidence |
| 176 | GPT-4 Turbo | 13.9% | estimated ± 5.1 pp, low confidence |
| 177 | GPT-OSS 20B | 13.3% | estimated ± 5.1 pp, low confidence |
| 178 | GPT-4.1 mini | 12.9% | estimated ± 5.1 pp, low confidence |
| 179 | Mistral Large 3 | 12.8% | estimated ± 5.1 pp, low confidence |
| 180 | Claude 3 Opus | 12.4% | estimated ± 5.1 pp, low confidence |
| 181 | Solar Pro 3 | 10.6% | estimated ± 6.5 pp, low confidence |
| 182 | Llama 4 Maverick | 9.8% | estimated ± 5.1 pp, low confidence |
| 183 | GPT-4.1 | 8.6% | estimated ± 6.1 pp, low confidence |
| 184 | Ling 3.0 Tiny | 8.5% | estimated ± 6.5 pp, low confidence |
| 185 | Celeris-1 | 8.4% | estimated ± 5.1 pp, low confidence |
| 186 | Nemotron 3 Nano 30B | 8.3% | estimated ± 5.1 pp, low confidence |
| 187 | Nemotron 3 Nano Omni 30B A3B | 7.9% | estimated ± 5.1 pp, low confidence |
| 188 | Ultravox v0.6 Llama 3.3 70B | 6.4% | estimated ± 5.1 pp, low confidence |
| 189 | GPT-4o mini | 6.0% | estimated ± 5.1 pp, low confidence |
| 190 | GPT-4.1 nano | 5.8% | estimated ± 5.1 pp, low confidence |
| 191 | o3-mini | 5.4% | estimated ± 6.1 pp, low confidence |
| 192 | LLaDA2.2-flash | 5.4% | estimated ± 6.1 pp, low confidence |
| 193 | Claude 3.5 Sonnet | 5.2% | estimated ± 6.1 pp, low confidence |
| 194 | Gemma 3 27B | 5.0% | estimated ± 5.1 pp, low confidence |
| 195 | Gemma 4 E4B | 4.5% | estimated ± 5.1 pp, low confidence |
| 196 | Llama 4 Scout | 3.5% | estimated ± 5.1 pp, low confidence |
| 197 | Gemma 4 E2B | 2.8% | estimated ± 5.1 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