Long context
MLCR-AA leaderboard
As of 2026-11-05, the highest measured score on MLCR-AA is 41.7% by Claude Sonnet 5.5. 106 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Claude Sonnet 5.5 | 41.7% | measured |
| 2 | GPT-6 Astra | 41.7% | measured |
| 3 | GPT-6.1 Sol | 38.3% | measured |
| 4 | Kimi K3.1 Pro | 38.3% | measured |
| 5 | Claude Haiku 5.5 | 35.0% | measured |
| 6 | GPT-6 Sol | 33.9% | measured |
| 7 | GPT-6.1 Terra | 30.6% | measured |
| 8 | Kimi K3 | 28.2% | estimated ± 10.5 pp, low confidence |
| 9 | Step 5 Preview | 28.2% | estimated ± 10.5 pp, low confidence |
| 10 | GPT-5.5 | 28.2% | estimated ± 10.5 pp, low confidence |
| 11 | DeepSeek V4.1 Flash 1017 | 28.2% | estimated ± 10.5 pp, low confidence |
| 12 | GPT-5.6 Sol | 28.2% | estimated ± 10.5 pp, low confidence |
| 13 | GPT-5.6 Luna | 28.2% | estimated ± 10.5 pp, low confidence |
| 14 | GPT-5.3 Codex | 28.2% | estimated ± 10.5 pp, low confidence |
| 15 | Muse Glimmer 30B | 28.2% | estimated ± 10.5 pp, low confidence |
| 16 | GPT-5.6 Terra | 28.2% | estimated ± 10.5 pp, low confidence |
| 17 | Ling 3.1 Flash | 28.2% | estimated ± 10.5 pp, low confidence |
| 18 | MiniMax M3 | 28.2% | estimated ± 10.5 pp, low confidence |
| 19 | Muse Spark 1.3 | 28.2% | estimated ± 10.5 pp, low confidence |
| 20 | GPT-5.2 | 28.2% | estimated ± 10.5 pp, low confidence |
| 21 | Claude Fable 5 | 28.1% | estimated ± 10.5 pp, low confidence |
| 22 | GPT-5.2-Codex | 28.1% | estimated ± 10.5 pp, low confidence |
| 23 | Claude Sonnet 5 | 28.0% | estimated ± 10.5 pp, low confidence |
| 24 | Gemini 3.1 Pro | 28.0% | estimated ± 10.5 pp, low confidence |
| 25 | GPT-5.4 | 28.0% | estimated ± 10.5 pp, low confidence |
| 26 | Gemini 3.7 Flash | 27.8% | estimated ± 10.5 pp, low confidence |
| 27 | Claude Opus 5.5 | 27.8% | measured |
| 28 | Kimi K2.6 | 26.6% | estimated ± 10.5 pp, low confidence |
| 29 | Sage-A1.5 | 26.6% | estimated ± 10.5 pp, low confidence |
| 30 | GPT-6 Luna | 26.1% | measured |
| 31 | Qwen 3.6 Max (preview) | 25.6% | estimated ± 10.5 pp, low confidence |
| 32 | DeepSeek V4 Pro 0813 | 23.3% | estimated ± 10.5 pp, low confidence |
| 33 | Grok 4.6 | 23.3% | estimated ± 10.5 pp, low confidence |
| 34 | Qwen3.8 Max Preview | 23.3% | estimated ± 10.5 pp, low confidence |
| 35 | Qwen3.8-27B | 22.8% | measured |
| 36 | Muse Wonder | 22.2% | measured |
| 37 | Muse Wonder Full | 22.2% | measured |
| 38 | Gemini 3.6 Flash | 21.1% | estimated ± 10.5 pp, low confidence |
| 39 | GPT-5.1 | 21.1% | estimated ± 10.5 pp, low confidence |
| 40 | Grok 4.7 | 20.0% | measured |
| 41 | DeepSeek V4 Flash 0731 | 18.7% | estimated ± 10.5 pp, low confidence |
| 42 | Gemini 4 Argon | 18.7% | estimated ± 10.5 pp, low confidence |
| 43 | MiMo-V2.5-Pro | 18.7% | estimated ± 10.5 pp, low confidence |
| 44 | Qwen3.8-Flash-Next | 18.7% | estimated ± 10.5 pp, low confidence |
| 45 | Beam 1.0 501B-A23B | 17.8% | measured |
| 46 | GLM-5.3 | 17.2% | measured |
| 47 | MiniMax M3.1 Flash | 16.7% | measured |
| 48 | Beam 1.0 501B-A23B FP8 | 16.6% | estimated ± 10.5 pp, low confidence |
| 49 | Apodex 1.1 | 16.0% | estimated ± 10.5 pp, low confidence |
| 50 | Apodex 1.1 Mini | 16.0% | estimated ± 10.5 pp, low confidence |
| 51 | Claude Opus 5 | 16.0% | estimated ± 10.5 pp, low confidence |
| 52 | Gemini 4 Carbon | 16.0% | estimated ± 10.5 pp, low confidence |
| 53 | Grok 4.5 | 16.0% | estimated ± 10.5 pp, low confidence |
| 54 | Kimi K2.7 Code | 16.0% | estimated ± 10.5 pp, low confidence |
| 55 | Claude Fable 5.1 | 15.6% | measured |
| 56 | Hy3 | 14.6% | estimated ± 10.5 pp, low confidence |
| 57 | Muse Spark 1.2 | 14.6% | estimated ± 10.5 pp, low confidence |
| 58 | Qwen3.7 Max | 14.6% | estimated ± 10.5 pp, low confidence |
| 59 | Claude Opus 4.7 (Adaptive) | 13.7% | estimated ± 10.5 pp, low confidence |
| 60 | Beam 1.0 501B-A23B NVFP4 | 13.7% | estimated ± 10.5 pp, low confidence |
| 61 | GLM-5.2 | 13.0% | estimated ± 10.5 pp, low confidence |
| 62 | Ling 3.0 Flash VL | 13.0% | estimated ± 10.5 pp, low confidence |
| 63 | MiniMax M2.7 | 13.0% | estimated ± 10.5 pp, low confidence |
| 64 | Qwen3.6 Plus | 13.0% | estimated ± 10.5 pp, low confidence |
| 65 | GPT-5 (high) | 12.9% | estimated ± 10.5 pp, low confidence |
| 66 | MiMo-V2.6-Pro | 12.8% | measured |
| 67 | Claude Opus 4.6 (Adaptive) | 12.8% | estimated ± 10.5 pp, low confidence |
| 68 | Kimi K2.5 | 12.8% | estimated ± 10.5 pp, low confidence |
| 69 | Kimi K2.5 (Reasoning) | 12.8% | estimated ± 10.5 pp, low confidence |
| 70 | Muse Spark | 12.8% | estimated ± 10.5 pp, low confidence |
| 71 | Claude Opus 4.8 | 12.6% | estimated ± 10.5 pp, low confidence |
| 72 | Muse Spark 1.1 | 12.6% | estimated ± 10.5 pp, low confidence |
| 73 | Qwen3.5-27B | 12.6% | estimated ± 10.5 pp, low confidence |
| 74 | Claude Opus 4.5 Thinking | 12.5% | estimated ± 10.5 pp, low confidence |
| 75 | Qwen3.5 397B | 12.5% | estimated ± 10.5 pp, low confidence |
| 76 | Qwen3.5 397B (Reasoning) | 12.5% | estimated ± 10.5 pp, low confidence |
| 77 | Qwen3.6-27B | 12.5% | estimated ± 10.5 pp, low confidence |
| 78 | GPT-5.4 mini | 12.5% | estimated ± 10.5 pp, low confidence |
| 79 | Ternary Bonsai 2 27B | 12.5% | estimated ± 10.5 pp, low confidence |
| 80 | GPT-5.4 nano | 12.4% | estimated ± 10.5 pp, low confidence |
| 81 | Quasar 438B | 12.4% | estimated ± 10.5 pp, low confidence |
| 82 | Qwen3.5-122B-A10B | 12.4% | estimated ± 10.5 pp, low confidence |
| 83 | Claude 4.1 Opus Thinking | 12.4% | estimated ± 10.5 pp, low confidence |
| 84 | Gemini 3.5 Flash-Lite | 12.4% | estimated ± 10.5 pp, low confidence |
| 85 | Gemini 3 Pro | 12.4% | estimated ± 10.5 pp, low confidence |
| 86 | GPT-5 (medium) | 12.4% | estimated ± 10.5 pp, low confidence |
| 87 | Claude Opus 4.7 | 12.4% | estimated ± 10.5 pp, low confidence |
| 88 | GLM-5 | 12.4% | estimated ± 10.5 pp, low confidence |
| 89 | Inkling-Small | 12.4% | estimated ± 10.5 pp, low confidence |
| 90 | MiMo-V2-Omni | 12.4% | estimated ± 10.5 pp, low confidence |
| 91 | Ripple-65B Preview | 12.4% | estimated ± 10.5 pp, low confidence |
| 92 | o3 | 12.4% | estimated ± 10.5 pp, low confidence |
| 93 | MiMo-V2.6-Flash | 12.4% | estimated ± 10.5 pp, low confidence |
| 94 | Grok 4.1 Fast (Reasoning) | 12.4% | estimated ± 10.5 pp, low confidence |
| 95 | GLM-5.1 | 12.4% | estimated ± 10.5 pp, low confidence |
| 96 | Grok 4 Fast (Reasoning) | 12.4% | estimated ± 10.5 pp, low confidence |
| 97 | Step 3.7 Flash | 12.4% | estimated ± 10.5 pp, low confidence |
| 98 | Ling 3.0 Flash | 12.4% | estimated ± 10.5 pp, low confidence |
| 99 | Qwen3.7 Plus | 12.4% | estimated ± 10.5 pp, low confidence |
| 100 | Qwen3.5-35B-A3B | 12.4% | estimated ± 10.5 pp, low confidence |
| 101 | GLM-5-Turbo | 12.4% | estimated ± 10.5 pp, low confidence |
| 102 | Qwen3.6-35B-A3B | 12.4% | estimated ± 10.5 pp, low confidence |
| 103 | GLM-4.7 | 12.4% | estimated ± 10.5 pp, low confidence |
| 104 | Solar Pro 4 | 12.4% | estimated ± 10.5 pp, low confidence |
| 105 | Claude Opus 4.5 | 12.4% | estimated ± 10.5 pp, low confidence |
| 106 | Ling 3.0 Flash Sante | 12.4% | estimated ± 10.5 pp, low confidence |
| 107 | GLM-5V-Turbo | 12.4% | estimated ± 10.5 pp, low confidence |
| 108 | Gemma 4 31B | 12.4% | estimated ± 10.5 pp, low confidence |
| 109 | Nemotron 3.5 Bolt 74B-A9B | 12.4% | estimated ± 10.5 pp, low confidence |
| 110 | Claude 4 Opus Thinking | 12.4% | estimated ± 10.5 pp, low confidence |
| 111 | Gemini 3.5 Flash | 12.4% | estimated ± 10.5 pp, low confidence |
| 112 | GPT-5.1-Codex | 12.4% | estimated ± 10.5 pp, low confidence |
| 113 | GPT-5.1-Codex-Max | 12.4% | estimated ± 10.5 pp, low confidence |
| 114 | Mistral Medium 3.5 128B | 12.4% | estimated ± 10.5 pp, low confidence |
| 115 | Gemini 2.5 Pro | 12.4% | estimated ± 10.5 pp, low confidence |
| 116 | Nemotron 3.5 Super VL 120B A12B | 12.4% | estimated ± 10.5 pp, low confidence |
| 117 | Claude Sonnet 4.6 | 12.4% | estimated ± 10.5 pp, low confidence |
| 118 | GPT-4.1 | 12.4% | estimated ± 10.5 pp, low confidence |
| 119 | MiMo-V2-Pro | 12.4% | estimated ± 10.5 pp, low confidence |
| 120 | Grok 4 | 12.4% | estimated ± 10.5 pp, low confidence |
| 121 | Mercury 2.5 | 12.4% | estimated ± 10.5 pp, low confidence |
| 122 | Nemotron 3.5 Super VL 120B A12B NVFP4 | 12.4% | estimated ± 10.5 pp, low confidence |
| 123 | Nemotron 3.5 Bolt 74B-A9B BF16 | 12.4% | estimated ± 10.5 pp, low confidence |
| 124 | Spark-X2.6-4B | 12.4% | estimated ± 10.5 pp, low confidence |
| 125 | Gemini 3.8 Flash | 10.6% | measured |
| 126 | Muse Spark Open | 7.8% | measured |
| 127 | Inkling | 6.1% | 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 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
- LifeVal
- 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
- ScarfBench
- 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
- 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
Long context
General
- HLE-MultiChoice (Decision Index)
- Artificial Analysis Decision Index
- When2Call (Decision Index)
- WildGuardTest (Decision Index)
- Decision Index Full Score
- ExploitBench
- ExploitBench Internal Port
- Decision Index Arts
- Decision Index Knowledge
- Decision Index Language
- Decision Index Retrieval
- Decision Index Tools
- SEC-Bench Pro