Math
FrontierMath v2 (Tiers 1-3) leaderboard
As of 2026-10-07, the highest measured score on FrontierMath v2 (Tiers 1-3) is 89.0% by GPT-5.6 Sol. 19 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | GPT-6 Astra | 93.1% | estimated ± 7.4 pp, low confidence |
| 2 | GPT-5.6 Sol | 89.0% | measured |
| 3 | GPT-5.6 Terra | 84.9% | measured |
| 4 | GPT-5.6 Luna | 78.6% | measured |
| 5 | GPT-5.5 | 51.7% | measured |
| 6 | GPT-5.5 Pro | 51.0% | measured |
| 7 | GPT-5.4 Pro | 50.0% | measured |
| 8 | GPT-5.4 | 47.6% | measured |
| 9 | Claude Opus 4.8 | 47.2% | measured |
| 10 | Claude Opus 4.7 | 43.8% | measured |
| 11 | Claude Opus 4.7 (Adaptive) | 43.3% | estimated ± 0.7 pp, low confidence |
| 12 | Claude Opus 4.6 | 40.7% | measured |
| 13 | GPT-5.2 | 40.7% | measured |
| 14 | Muse Spark | 39.0% | measured |
| 15 | Qwen3.7 Max | 39.0% | estimated ± 8.4 pp, low confidence |
| 16 | DeepSeek V4 Flash 0731 | 39.0% | estimated ± 8.4 pp, low confidence |
| 17 | DeepSeek V4 Pro 0813 | 39.0% | estimated ± 8.4 pp, low confidence |
| 18 | Solar Open 2 | 39.0% | estimated ± 8.4 pp, low confidence |
| 19 | Qwen3.7 Plus | 39.0% | estimated ± 8.4 pp, low confidence |
| 20 | Gemini 3.5 Flash | 39.0% | measured |
| 21 | Kimi K2.6 | 39.0% | measured |
| 22 | GLM-5.2 | 39.0% | estimated ± 8.4 pp, low confidence |
| 23 | Inkling-Small | 38.3% | estimated ± 8.4 pp, low confidence |
| 24 | Gemini 3 Pro | 37.6% | measured |
| 25 | Gemini 3.1 Pro | 36.9% | measured |
| 26 | Gemini 3 Flash | 35.6% | measured |
| 27 | GLM-5.1 | 33.4% | measured |
| 28 | Claude Sonnet 4.6 | 32.4% | measured |
| 29 | GPT-5.1 | 31.0% | measured |
| 30 | GPT-5.4 mini | 28.3% | measured |
| 31 | Kimi K2.5 | 27.9% | measured |
| 32 | Qwen3.5 397B | 26.8% | estimated ± 8.4 pp, low confidence |
| 33 | Qwen3.6 Plus | 26.2% | measured |
| 34 | GPT-5.4 nano | 25.9% | measured |
| 35 | Ling 3.0 Flash | 24.8% | estimated ± 8.4 pp, low confidence |
| 36 | o4-mini (high) | 24.8% | measured |
| 37 | MAI-Thinking-1 | 24.4% | estimated ± 8.4 pp, low confidence |
| 38 | Qwen3.6-27B | 24.4% | estimated ± 8.4 pp, low confidence |
| 39 | Qwen3.6-35B-A3B | 24.4% | estimated ± 8.4 pp, low confidence |
| 40 | K-EXAONE 2.0 | 24.4% | estimated ± 8.4 pp, low confidence |
| 41 | LongCat-Flash-Lite-Sparse | 24.4% | estimated ± 8.4 pp, low confidence |
| 42 | MiniCPM5-1B | 24.4% | estimated ± 8.4 pp, low confidence |
| 43 | MiniCPM5-2B | 24.4% | estimated ± 8.4 pp, low confidence |
| 44 | ZAYA1-8B | 24.4% | estimated ± 8.4 pp, low confidence |
| 45 | Qwen 3.6 Max (preview) | 23.1% | measured |
| 46 | DeepSeek V3.2 | 22.1% | measured |
| 47 | Kimi K2 | 21.4% | measured |
| 48 | Qwen3.5 Plus | 21.0% | measured |
| 49 | Claude Opus 4.5 | 20.7% | measured |
| 50 | Grok 4 | 19.7% | measured |
| 51 | o3 | 18.7% | measured |
| 52 | GLM-5 | 16.4% | measured |
| 53 | Gemini 2.5 Pro | 14.1% | measured |
| 54 | Claude Sonnet 4.5 | 13.5% | measured |
| 55 | o1 | 9.3% | measured |
| 56 | Qwen3 235B 2507 (Reasoning) | 8.5% | measured |
| 57 | Qwen3.5 Flash | 6.2% | measured |
| 58 | Claude Haiku 4.5 | 5.9% | measured |
| 59 | GPT-4.1 | 5.5% | measured |
| 60 | Gemini 2.5 Flash | 4.8% | measured |
| 61 | GPT-4.1 mini | 4.5% | measured |
| 62 | GLM-4.6 | 3.8% | measured |
| 63 | Grok 3 [Beta] | 3.8% | measured |
| 64 | GLM-4.7 | 2.4% | measured |
| 65 | Claude 3.5 Sonnet | 2.1% | measured |
| 66 | DeepSeek V3 | 1.7% | measured |
| 67 | GPT-4.1 nano | 1.0% | measured |
| 68 | Llama 4 Maverick | 0.7% | measured |
| 69 | GPT-4o | 0.3% | measured |
| 70 | Llama 4 Scout | 0.0% | measured |
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