Math
MMAnswerBench leaderboard
As of 2026-10-07, the highest measured score on MMAnswerBench is 91.0% by GLM-5.2. 72 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | GPT-5.6 Sol | 100.0% | estimated ± 1.3 pp, low confidence |
| 2 | GPT-6 Astra | 100.0% | estimated ± 1.3 pp, low confidence |
| 3 | GPT-5.6 Terra | 97.4% | estimated ± 1.3 pp, low confidence |
| 4 | GPT-5.6 Luna | 95.1% | estimated ± 1.3 pp, low confidence |
| 5 | GLM-5.2 | 91.0% | measured |
| 6 | GPT-5.5 Pro | 90.9% | estimated ± 1.3 pp, low confidence |
| 7 | GPT-5.4 Pro | 90.4% | estimated ± 1.3 pp, low confidence |
| 8 | GPT-5.5 | 89.9% | estimated ± 1.3 pp, low confidence |
| 9 | Claude Opus 4.8 | 89.0% | estimated ± 1.3 pp, low confidence |
| 10 | Qwen3.7 Max | 88.8% | estimated ± 2.8 pp, low confidence |
| 11 | GPT-5.4 | 88.0% | estimated ± 1.3 pp, low confidence |
| 12 | DeepSeek V4 Pro 0813 | 87.8% | estimated ± 2.8 pp, low confidence |
| 13 | Beam | 87.8% | estimated ± 1.3 pp, high confidence |
| 14 | DeepSeek V4 Flash 0731 | 87.6% | estimated ± 2.8 pp, low confidence |
| 15 | Claude Opus 4.7 | 87.1% | estimated ± 1.3 pp, low confidence |
| 16 | Claude Opus 4.6 | 87.1% | estimated ± 1.3 pp, low confidence |
| 17 | Qwen3.7 Plus | 86.6% | estimated ± 2.8 pp, low confidence |
| 18 | A.X K2 | 86.5% | estimated ± 1.3 pp, high confidence |
| 19 | Inkling | 86.5% | estimated ± 1.3 pp, high confidence |
| 20 | GPT-5.2 | 86.2% | estimated ± 1.3 pp, low confidence |
| 21 | Gemini 3 Pro | 86.2% | estimated ± 1.3 pp, low confidence |
| 22 | Kimi K2.6 | 86.0% | measured |
| 23 | Gemini 3.1 Pro | 85.7% | estimated ± 1.3 pp, low confidence |
| 24 | Muse Spark | 85.2% | estimated ± 1.3 pp, low confidence |
| 25 | Gemini 3.5 Flash | 85.2% | estimated ± 1.3 pp, low confidence |
| 26 | GPT-5.1 | 84.7% | estimated ± 1.3 pp, medium confidence |
| 27 | Ternary Bonsai 2 27B | 84.2% | estimated ± 1.3 pp, high confidence |
| 28 | Claude Opus 4.5 | 84.0% | measured |
| 29 | Solar Open 2 | 84.0% | estimated ± 1.3 pp, high confidence |
| 30 | GLM-5.1 | 83.8% | measured |
| 31 | Qwen3.6 Plus | 83.8% | measured |
| 32 | Claude Sonnet 4.6 | 83.8% | estimated ± 1.3 pp, medium confidence |
| 33 | Inkling-Small | 83.6% | estimated ± 1.3 pp, high confidence |
| 34 | GPT-5.4 nano | 83.3% | estimated ± 1.3 pp, medium confidence |
| 35 | o4-mini (high) | 83.3% | estimated ± 1.3 pp, medium confidence |
| 36 | Solar Pro 4 | 83.3% | estimated ± 1.3 pp, high confidence |
| 37 | Claude Sonnet 4.5 | 82.9% | estimated ± 1.3 pp, medium confidence |
| 38 | Gemini 2.5 Flash | 82.9% | estimated ± 1.3 pp, medium confidence |
| 39 | Gemini 2.5 Pro | 82.9% | estimated ± 1.3 pp, medium confidence |
| 40 | Gemini 3 Flash | 82.9% | estimated ± 1.3 pp, medium confidence |
| 41 | Qwen 3.6 Max (preview) | 82.9% | estimated ± 1.3 pp, medium confidence |
| 42 | o1 | 82.8% | estimated ± 1.5 pp, low confidence |
| 43 | DeepSeek V3 | 82.8% | estimated ± 1.5 pp, low confidence |
| 44 | GPT-4.1 mini | 82.8% | estimated ± 1.5 pp, low confidence |
| 45 | GPT-4.1 nano | 82.8% | estimated ± 1.5 pp, low confidence |
| 46 | GPT-4o | 82.8% | estimated ± 1.5 pp, low confidence |
| 47 | Llama 4 Maverick | 82.8% | estimated ± 1.5 pp, low confidence |
| 48 | Llama 4 Scout | 82.8% | estimated ± 1.5 pp, low confidence |
| 49 | GLM-5 | 82.5% | measured |
| 50 | GLM-4.6 | 82.4% | estimated ± 1.3 pp, medium confidence |
| 51 | DeepSeek V3.2 | 82.4% | estimated ± 1.3 pp, medium confidence |
| 52 | Claude Haiku 4.5 | 82.4% | estimated ± 1.3 pp, low confidence |
| 53 | Grok 4 | 82.4% | estimated ± 1.3 pp, low confidence |
| 54 | o3 | 82.4% | estimated ± 1.3 pp, low confidence |
| 55 | Qwen3.5 Plus | 82.4% | estimated ± 1.3 pp, low confidence |
| 56 | GPT-5.4 mini | 82.4% | estimated ± 1.3 pp, low confidence |
| 57 | Muse Glimmer 30B | 82.3% | estimated ± 1.3 pp, high confidence |
| 58 | Claude 3.5 Sonnet | 81.9% | estimated ± 1.3 pp, low confidence |
| 59 | GLM-4.7 | 81.9% | estimated ± 1.3 pp, low confidence |
| 60 | GPT-4.1 | 81.9% | estimated ± 1.3 pp, low confidence |
| 61 | Grok 3 [Beta] | 81.9% | estimated ± 1.3 pp, low confidence |
| 62 | Kimi K2 | 81.9% | estimated ± 1.3 pp, low confidence |
| 63 | Qwen3 235B 2507 (Reasoning) | 81.9% | estimated ± 1.3 pp, low confidence |
| 64 | Qwen3.5 Flash | 81.9% | estimated ± 1.3 pp, low confidence |
| 65 | MAI-Thinking-1 | 81.9% | estimated ± 1.3 pp, high confidence |
| 66 | Kimi K2.5 | 81.8% | measured |
| 67 | Qwen3.5 397B | 80.9% | measured |
| 68 | Qwen3.6-27B | 80.8% | measured |
| 69 | Ling 3.0 Flash | 79.7% | estimated ± 1.3 pp, high confidence |
| 70 | Granite 4.2 30B | 79.4% | estimated ± 2.0 pp, low confidence |
| 71 | Qwen3.6-35B-A3B | 78.9% | measured |
| 72 | K-EXAONE 2.0 | 78.2% | estimated ± 1.3 pp, medium confidence |
| 73 | Granite 4.2 8B | 73.9% | estimated ± 2.0 pp, low confidence |
| 74 | ZAYA1-8B | 73.2% | estimated ± 1.3 pp, medium confidence |
| 75 | MiniCPM5-2B | 69.3% | estimated ± 1.3 pp, medium confidence |
| 76 | Granite 4.2 3B | 67.3% | estimated ± 2.0 pp, low confidence |
| 77 | Gemma 4 12B | 57.2% | estimated ± 1.3 pp, medium confidence |
| 78 | ZAYA1-74B-Preview | 55.8% | estimated ± 1.3 pp, medium confidence |
| 79 | LongCat-Flash-Lite-Sparse | 44.0% | estimated ± 1.3 pp, medium confidence |
| 80 | LFM2.5-8B-A1B | 29.7% | estimated ± 1.3 pp, medium confidence |
| 81 | MiniCPM5-1B | 22.5% | estimated ± 1.3 pp, medium confidence |
| 82 | LLaDA2.2-mini | 18.8% | estimated ± 1.3 pp, medium 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