Coding
FrontierCode 2.0 leaderboard
As of 2026-10-29, the highest measured score on FrontierCode 2.0 is 45.5% by Claude Opus 5.5. 91 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 | 45.5% | measured |
| 2 | GPT-6 Astra | 42.8% | measured |
| 3 | Claude Sonnet 5.5 | 41.0% | measured |
| 4 | GPT-6.1 Sol | 39.0% | measured |
| 5 | Gemini 4 Carbon | 38.6% | estimated ± 4.9 pp, high confidence |
| 6 | GPT-6 Sol | 34.3% | measured |
| 7 | Muse Wonder Full | 33.9% | estimated ± 7.0 pp, low confidence |
| 8 | Claude Mythos 5 | 33.0% | estimated ± 7.1 pp, low confidence |
| 9 | Claude Fable 5.1 | 32.4% | measured |
| 10 | Step 5 Preview | 31.5% | estimated ± 10.1 pp, low confidence |
| 11 | Kimi K3.1 Pro | 30.4% | estimated ± 7.0 pp, low confidence |
| 12 | MiniMax M3.1 Flash | 29.0% | estimated ± 7.6 pp, medium confidence |
| 13 | Grok 4.7 | 28.6% | measured |
| 14 | Claude Haiku 5.5 | 27.7% | measured |
| 15 | GPT-5.6 Sol | 27.6% | measured |
| 16 | Sakana Fugu-Ultra | 27.2% | estimated ± 7.1 pp, low confidence |
| 17 | Claude Fable 5 | 27.0% | estimated ± 4.9 pp, high confidence |
| 18 | Claude Opus 5 | 26.7% | measured |
| 19 | Gemini 4 Argon | 26.3% | measured |
| 20 | Muse Spark 1.3 | 25.1% | estimated ± 2.6 pp, low confidence |
| 21 | Grok 4.6 | 25.0% | estimated ± 2.6 pp, low confidence |
| 22 | GPT-5.6 Terra | 24.9% | estimated ± 2.6 pp, low confidence |
| 23 | Muse Wonder | 24.3% | measured |
| 24 | Grok 4.5 | 24.2% | estimated ± 5.2 pp, low confidence |
| 25 | Gemini 3.8 Flash | 24.1% | estimated ± 2.6 pp, low confidence |
| 26 | Ling 3.1 Flash | 24.0% | estimated ± 7.1 pp, low confidence |
| 27 | SWE-2 | 23.8% | measured |
| 28 | GLM-5.3 | 23.7% | estimated ± 4.9 pp, high confidence |
| 29 | Gemini 3.7 Flash | 23.5% | estimated ± 4.9 pp, medium confidence |
| 30 | GLM-5.3-Flash | 23.5% | estimated ± 4.9 pp, medium confidence |
| 31 | Qwen3.8 Max | 23.5% | estimated ± 4.9 pp, medium confidence |
| 32 | Muse Spark 1.2 | 23.5% | estimated ± 4.9 pp, medium confidence |
| 33 | Inkling | 23.5% | estimated ± 4.9 pp, medium confidence |
| 34 | GPT-5.6 Luna | 22.8% | estimated ± 2.6 pp, low confidence |
| 35 | MiMo-V2.6-Pro | 22.7% | estimated ± 7.0 pp, low confidence |
| 36 | GPT-5.5 | 22.6% | measured |
| 37 | Beam 1.0 501B-A23B | 22.6% | estimated ± 7.1 pp, low confidence |
| 38 | Beam 1.0 501B-A23B FP8 | 22.5% | estimated ± 7.1 pp, low confidence |
| 39 | Hy4 preview | 22.4% | estimated ± 7.1 pp, low confidence |
| 40 | Beam 1.0 501B-A23B NVFP4 | 22.4% | estimated ± 7.1 pp, low confidence |
| 41 | Claude Sonnet 5 | 22.3% | estimated ± 2.6 pp, low confidence |
| 42 | Ornith-1.5-397B | 22.1% | estimated ± 7.1 pp, low confidence |
| 43 | GPT-6 Luna | 21.9% | measured |
| 44 | Claude Opus 4.7 (Adaptive) | 21.8% | estimated ± 7.1 pp, low confidence |
| 45 | Composer 2.5 | 21.4% | estimated ± 2.6 pp, low confidence |
| 46 | Qwen3.8-Omni-Flash | 21.4% | estimated ± 7.1 pp, low confidence |
| 47 | Qwen3.8-Flash-Next | 21.1% | estimated ± 7.1 pp, low confidence |
| 48 | Ornith-1.0-397B | 21.0% | estimated ± 7.1 pp, low confidence |
| 49 | Muse Spark 1.1 | 20.7% | estimated ± 7.1 pp, low confidence |
| 50 | Sage-A1.5 | 20.6% | estimated ± 7.1 pp, low confidence |
| 51 | dots3-note Preview | 20.5% | estimated ± 7.1 pp, low confidence |
| 52 | Qwen3.7 Max | 20.4% | estimated ± 7.1 pp, low confidence |
| 53 | Atria Dawn Preview | 20.1% | estimated ± 7.1 pp, low confidence |
| 54 | Ornith-1.5-35B-A3B | 20.1% | estimated ± 7.1 pp, low confidence |
| 55 | Laguna S 2.1 | 20.0% | estimated ± 7.1 pp, low confidence |
| 56 | MiniMax M3 | 19.9% | estimated ± 7.1 pp, low confidence |
| 57 | Sakana Fugu | 19.9% | estimated ± 7.1 pp, low confidence |
| 58 | Kimi K2.6 | 19.8% | estimated ± 7.1 pp, low confidence |
| 59 | GLM-5.1 | 19.7% | estimated ± 7.1 pp, low confidence |
| 60 | Mistral Large 4 | 19.7% | measured |
| 61 | GPT-5.4 | 19.6% | estimated ± 7.1 pp, low confidence |
| 62 | Qwen3.7 Plus | 19.5% | estimated ± 7.1 pp, low confidence |
| 63 | Qwen 3.6 Max (preview) | 19.5% | estimated ± 7.1 pp, low confidence |
| 64 | MiMo-V2.5-Pro | 19.4% | estimated ± 7.1 pp, low confidence |
| 65 | Claude Opus 4.5 | 19.4% | estimated ± 7.1 pp, low confidence |
| 66 | GPT-5.3 Codex | 19.3% | estimated ± 7.1 pp, low confidence |
| 67 | DeepSeek V4.1 Flash 1017 | 19.3% | measured |
| 68 | Ling 3.0 Flash | 19.3% | estimated ± 7.1 pp, low confidence |
| 69 | Qwen3.6 Plus | 19.3% | estimated ± 7.1 pp, low confidence |
| 70 | Step 3.7 Flash | 19.2% | estimated ± 7.1 pp, low confidence |
| 71 | MiniMax M2.7 | 19.2% | estimated ± 7.1 pp, low confidence |
| 72 | MiMo-V2.5 | 19.2% | estimated ± 7.1 pp, low confidence |
| 73 | Inkling-Small | 19.1% | estimated ± 7.1 pp, low confidence |
| 74 | GPT-5.2 | 19.1% | estimated ± 7.1 pp, low confidence |
| 75 | DeepSeek V4 Pro 0813 | 19.0% | estimated ± 7.1 pp, low confidence |
| 76 | GLM-5 | 18.9% | estimated ± 7.1 pp, low confidence |
| 77 | Spark-X2.6-4B | 18.8% | estimated ± 7.1 pp, low confidence |
| 78 | Gemini 3.5 Flash-Lite | 18.8% | estimated ± 7.1 pp, low confidence |
| 79 | Qwen3.6-27B | 18.6% | estimated ± 7.1 pp, low confidence |
| 80 | Claude Opus 4.6 | 18.6% | estimated ± 7.1 pp, low confidence |
| 81 | MAI-Thinking-1 | 18.5% | estimated ± 7.1 pp, low confidence |
| 82 | DeepSeek V4 Flash 0731 | 18.5% | estimated ± 7.1 pp, low confidence |
| 83 | Muse Spark | 18.5% | estimated ± 7.1 pp, low confidence |
| 84 | Grok 4.20 | 18.4% | estimated ± 7.1 pp, low confidence |
| 85 | Nemotron 3.5 Super VL 120B A12B | 18.4% | estimated ± 7.1 pp, low confidence |
| 86 | Nemotron 3.5 Super VL 120B A12B NVFP4 | 18.3% | estimated ± 7.1 pp, low confidence |
| 87 | Muse Glimmer 30B | 18.3% | estimated ± 7.1 pp, low confidence |
| 88 | Qwen3.8-27B | 18.3% | estimated ± 7.0 pp, low confidence |
| 89 | Qwen3.5 397B | 18.2% | estimated ± 7.1 pp, low confidence |
| 90 | Kimi K2.5 | 18.2% | estimated ± 7.1 pp, low confidence |
| 91 | Ornith-1.0-35B | 18.2% | estimated ± 7.1 pp, low confidence |
| 92 | Qwen3.6-35B-A3B | 18.0% | estimated ± 7.1 pp, low confidence |
| 93 | Claude Opus 4.7 | 18.0% | estimated ± 7.6 pp, medium confidence |
| 94 | Laguna M.1 | 18.0% | estimated ± 7.1 pp, low confidence |
| 95 | MiMo-V2.6-Flash | 17.9% | estimated ± 10.1 pp, low confidence |
| 96 | Laguna XS 2.1 | 17.8% | estimated ± 7.1 pp, low confidence |
| 97 | Ornith-1.5-9B | 17.8% | estimated ± 7.1 pp, low confidence |
| 98 | Kimi K3 | 17.7% | measured |
| 99 | Laguna XS.2 | 17.7% | estimated ± 7.1 pp, low confidence |
| 100 | Ornith-1.0-9B | 17.4% | estimated ± 7.1 pp, low confidence |
| 101 | LongCat-Flash-Lite-Sparse | 17.3% | estimated ± 7.1 pp, low confidence |
| 102 | Granite 4.2 30B | 17.1% | estimated ± 7.1 pp, low confidence |
| 103 | LLaDA2.2-flash | 17.1% | estimated ± 7.1 pp, low confidence |
| 104 | Mellum2.1-12B-A2.5B-Thinking | 17.0% | estimated ± 7.1 pp, low confidence |
| 105 | SWE-1.7 | 16.2% | measured |
| 106 | GLM-5.2 | 16.1% | estimated ± 5.2 pp, low confidence |
| 107 | Gemini 3.6 Flash | 15.5% | estimated ± 5.2 pp, low confidence |
| 108 | Claude Opus 4.8 | 14.7% | measured |
| 109 | Kimi K2.7 Code | 14.3% | estimated ± 5.2 pp, low confidence |
| 110 | Gemini 3.5 Flash | 14.0% | estimated ± 5.2 pp, low confidence |
| 111 | Gemini 3.1 Pro | 12.7% | estimated ± 7.6 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 Hard
- Terminal-Bench 2.1
- Terminal-Bench 2.1 (Vals AI)
Agentic · tools
- AA Agentic Index
- AA-AnalystAgent
- AA AutomationBench
- CWE-Bench-AA
- AA Cyber Index
- DeepsecBench-AA
- AA EnterpriseOps-Gym
- GDP.pdf
- AA Harvey LAB v1.0
- 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
- Finance Agent v2
- GDPval-AA
- Gert Labs
- Hermes Bench
- Hermes Index
- HLE w/ tools
- JobBench
- MazeBench
- MCP Atlas
- MCP-Tasks
- OSWorld 2.1
- OSWorld 2.1 Offline
- OSWorld-Verified
- OSWorld 2.0
- PinchBench
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
- τ³-bench results
- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA LiveCodeBench
- AA-SciCode
- Bug Hunt Bench
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 2.0
- FrontierCode 1.1 Extended
- FrontierSWE v2
- LiveCodeBench
- LiveCodeBench Pro
- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
- PostTrainBench v1.1
- ProgramBench
- React Native Evals
- SciCode
- SWE-Atlas Codebase QnA
- SWE-bench Pro
- SWE-bench Verified
- SWE-Rebench
- SWE-Marathon
- Vals LiveCodeBench
- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
- AIME 2024
- AIME 2025
- AIME26
- 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
- AA MMLU-Pro
- ARC-AGI-2
- ARC-AGI-3 Provider Adapter
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BBH
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
- CritPt
- GPQA
- GPQA Diamond
- GraphWalks BFS 256K–1M
- 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
- SimpleQA
- STEMBench
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
- AA-MMMU-Pro
- AI2D_TEST
- BabyVision
- CC-OCR
- Chartography (tools)
- CharXiv
- CharXiv w/o tools
- CountBench
- DynaMath
- ERQA
- LVBench
- MathVision
- MathVision w/ Python
- MedXpertQA (MM)
- MLVU (M-Avg)
- MMMU
- MMMU-Pro
- MMMU-Pro w/ Python
- MMVU
- OCRBench V2
- OfficeQA Pro
- OmniDocBench 1.5
- ParseBench
- RealWorldQA
- RefCOCO (avg)
- ScreenSpot Pro
- SimpleVQA
- SWE-bench Multimodal
- Video-MME (w/o subtitle)
- Video-MME (with subtitle)
- VideoMMMU
- V*
- We-Math
- ZeroBench