Vision & documents
Video-MME (w/o subtitle) leaderboard
As of 2026-10-10, the highest measured score on Video-MME (w/o subtitle) is 87.7% by Gemini 3 Pro. 111 more models have estimated scores, calibrated from the benchmarks they were measured on.
Measured scores: benchlm.ai.
| # | Model | Score | Source |
|---|---|---|---|
| 1 | Step 3.7 Flash | 100.0% | estimated ± 3.2 pp, low confidence |
| 2 | Claude Opus 5.5 | 90.8% | estimated ± 6.3 pp, low confidence |
| 3 | GPT-6 Astra | 90.2% | estimated ± 6.3 pp, low confidence |
| 4 | Qwen3.8 Max | 89.7% | estimated ± 1.7 pp, low confidence |
| 5 | GPT-6.1 Sol | 89.7% | estimated ± 6.3 pp, low confidence |
| 6 | Gemini 3.8 Flash | 89.4% | estimated ± 6.3 pp, low confidence |
| 7 | Gemini 3.7 Flash | 89.3% | estimated ± 6.3 pp, low confidence |
| 8 | Claude Opus 5 | 88.8% | estimated ± 6.3 pp, low confidence |
| 9 | Gemini 3.6 Flash | 87.9% | estimated ± 6.3 pp, low confidence |
| 10 | GPT-6 Sol | 87.8% | estimated ± 6.3 pp, low confidence |
| 11 | Gemini 3 Pro | 87.7% | measured |
| 12 | Qwen3.8 Max Preview | 87.7% | estimated ± 6.3 pp, low confidence |
| 13 | Gemini 3.1 Pro | 87.3% | estimated ± 1.8 pp, low confidence |
| 14 | Gemini 3.5 Flash | 87.1% | estimated ± 1.8 pp, low confidence |
| 15 | GPT-5.6 Sol | 86.8% | estimated ± 1.8 pp, low confidence |
| 16 | Qwen3.8-Omni-Flash | 86.5% | estimated ± 3.0 pp, low confidence |
| 17 | Grok 4.5 | 86.3% | estimated ± 6.3 pp, low confidence |
| 18 | dots3-note Preview | 86.3% | estimated ± 1.7 pp, medium confidence |
| 19 | Qwen3.8-Flash-Next | 86.2% | estimated ± 3.0 pp, low confidence |
| 20 | Kimi K3 | 86.2% | estimated ± 1.8 pp, low confidence |
| 21 | Seed 2.1 Pro | 86.2% | estimated ± 1.8 pp, low confidence |
| 22 | Qwen3.8-27B | 86.1% | estimated ± 3.0 pp, low confidence |
| 23 | GPT-5.4 | 86.0% | estimated ± 1.8 pp, low confidence |
| 24 | GPT-5.5 | 86.0% | estimated ± 1.8 pp, low confidence |
| 25 | GPT-6 Luna | 85.9% | estimated ± 6.3 pp, low confidence |
| 26 | GPT-5.2 | 85.8% | measured |
| 27 | GPT-5.6 Terra | 85.7% | estimated ± 1.8 pp, medium confidence |
| 28 | Apodex 1.1 | 85.6% | estimated ± 6.3 pp, low confidence |
| 29 | Apodex 1.1 Mini | 85.6% | estimated ± 6.3 pp, low confidence |
| 30 | Muse Spark | 85.6% | estimated ± 1.8 pp, medium confidence |
| 31 | Gemini 3.5 Flash-Lite | 85.5% | estimated ± 6.3 pp, low confidence |
| 32 | Ling 3.0 Flash VL | 85.5% | estimated ± 6.3 pp, low confidence |
| 33 | Qwen3.6 Plus | 85.5% | estimated ± 1.0 pp, medium confidence |
| 34 | Seed 2.1 Turbo | 85.4% | estimated ± 1.8 pp, medium confidence |
| 35 | Claude Opus 4.7 (Adaptive) | 85.4% | estimated ± 6.3 pp, low confidence |
| 36 | Gemini 3 Flash | 85.3% | estimated ± 6.3 pp, low confidence |
| 37 | GPT-5.3 Codex | 85.3% | estimated ± 6.3 pp, low confidence |
| 38 | Kimi K2.6 | 85.1% | estimated ± 1.8 pp, medium confidence |
| 39 | Kimi K2.5 (Reasoning) | 84.7% | estimated ± 1.8 pp, medium confidence |
| 40 | Claude Sonnet 5 | 84.7% | estimated ± 6.3 pp, low confidence |
| 41 | GPT-5.6 Luna | 84.6% | estimated ± 1.8 pp, medium confidence |
| 42 | DeepSeek V4.1 Flash | 84.5% | estimated ± 6.3 pp, low confidence |
| 43 | Grok 4.3 | 84.5% | estimated ± 1.8 pp, medium confidence |
| 44 | Pareto 26.9 | 84.4% | estimated ± 1.8 pp, medium confidence |
| 45 | MiMo-V2.5 | 84.4% | estimated ± 1.8 pp, medium confidence |
| 46 | Claude Opus 4.7 | 84.2% | estimated ± 6.3 pp, low confidence |
| 47 | Mistral Large 4 | 84.2% | estimated ± 6.3 pp, low confidence |
| 48 | GPT-5.2-Codex | 84.2% | estimated ± 6.3 pp, low confidence |
| 49 | Claude Opus 4.6 | 84.1% | estimated ± 1.8 pp, medium confidence |
| 50 | Gemma 4 31B | 83.9% | estimated ± 1.8 pp, medium confidence |
| 51 | Qwen3.7 Plus | 83.9% | estimated ± 1.7 pp, medium confidence |
| 52 | GPT-5.1 | 83.8% | estimated ± 6.3 pp, low confidence |
| 53 | Claude Opus 4.6 (Adaptive) | 83.7% | estimated ± 6.3 pp, low confidence |
| 54 | GPT-5.4 mini | 83.7% | estimated ± 1.8 pp, medium confidence |
| 55 | Qwen3.5-122B-A10B | 83.7% | estimated ± 1.0 pp, medium confidence |
| 56 | Qwen3.5 397B | 83.7% | measured |
| 57 | Gemini 2.5 Pro | 83.5% | estimated ± 6.3 pp, low confidence |
| 58 | Step 5 Preview | 83.4% | estimated ± 1.8 pp, medium confidence |
| 59 | GPT-5 (medium) | 83.2% | estimated ± 6.3 pp, low confidence |
| 60 | Kimi K2.5 | 83.2% | measured |
| 61 | GPT-5 (high) | 83.2% | estimated ± 6.3 pp, low confidence |
| 62 | Claude Opus 4.5 Thinking | 83.1% | estimated ± 6.3 pp, low confidence |
| 63 | Grok 4.20 | 83.0% | estimated ± 1.8 pp, medium confidence |
| 64 | Qwen3.6-27B | 82.8% | estimated ± 1.0 pp, medium confidence |
| 65 | MiMo-V2.6-Flash | 82.7% | estimated ± 6.3 pp, low confidence |
| 66 | GLM-5V-Turbo | 82.6% | estimated ± 6.3 pp, low confidence |
| 67 | MiniMax M3 | 82.5% | estimated ± 1.7 pp, medium confidence |
| 68 | Qwen3.6-35B-A3B | 82.5% | measured |
| 69 | GPT-5.1-Codex | 82.4% | estimated ± 6.3 pp, low confidence |
| 70 | GPT-5.1-Codex-Max | 82.4% | estimated ± 6.3 pp, low confidence |
| 71 | Inkling-Small | 82.4% | estimated ± 1.8 pp, medium confidence |
| 72 | Muse Glimmer 30B | 82.4% | estimated ± 1.8 pp, medium confidence |
| 73 | Qwen3.5-27B | 82.3% | estimated ± 1.0 pp, medium confidence |
| 74 | Gemma 4 26B A4B | 82.3% | estimated ± 1.8 pp, medium confidence |
| 75 | Inkling | 82.1% | estimated ± 1.8 pp, medium confidence |
| 76 | Claude Sonnet 4.6 | 81.7% | estimated ± 6.3 pp, low confidence |
| 77 | Qwen3.5-35B-A3B | 81.5% | estimated ± 1.0 pp, medium confidence |
| 78 | o3 | 81.5% | estimated ± 6.3 pp, low confidence |
| 79 | MiMo-V2-Omni | 81.4% | estimated ± 6.3 pp, low confidence |
| 80 | Claude Opus 4.5 | 81.4% | measured |
| 81 | Grok 4 | 81.0% | estimated ± 6.3 pp, low confidence |
| 82 | Interfaze Beta | 80.9% | estimated ± 1.8 pp, medium confidence |
| 83 | Claude 4.1 Opus Thinking | 80.7% | estimated ± 6.3 pp, low confidence |
| 84 | Gemini 2.5 Flash | 80.0% | estimated ± 6.3 pp, low confidence |
| 85 | Gemma 4 12B | 79.9% | estimated ± 1.8 pp, low confidence |
| 86 | Mistral Medium 3.5 128B | 79.8% | estimated ± 6.3 pp, low confidence |
| 87 | Grok 4.1 Fast (Reasoning) | 79.4% | estimated ± 6.3 pp, low confidence |
| 88 | Claude 4 Sonnet | 79.2% | estimated ± 6.3 pp, low confidence |
| 89 | Llama 4 Maverick | 79.1% | estimated ± 6.3 pp, low confidence |
| 90 | Grok 4 Fast (Reasoning) | 79.1% | estimated ± 6.3 pp, low confidence |
| 91 | GPT-4.1 | 78.9% | estimated ± 6.3 pp, low confidence |
| 92 | Qwen3-Omni-30B-A3B-Thinking | 78.7% | estimated ± 6.3 pp, low confidence |
| 93 | GPT-4.1 mini | 78.5% | estimated ± 6.3 pp, low confidence |
| 94 | GPT-5.4 nano | 78.3% | estimated ± 1.8 pp, low confidence |
| 95 | Mistral Small 4 | 78.2% | estimated ± 6.3 pp, low confidence |
| 96 | Mistral Small 4 (Reasoning) | 78.2% | estimated ± 6.3 pp, low confidence |
| 97 | Mistral Large 3 | 78.0% | estimated ± 6.3 pp, low confidence |
| 98 | Qwen3-Omni-30B-A3B-Instruct | 78.0% | estimated ± 6.3 pp, low confidence |
| 99 | Gemini 1.5 Pro | 77.9% | estimated ± 6.3 pp, low confidence |
| 100 | Mistral Medium 3 | 77.7% | estimated ± 6.3 pp, low confidence |
| 101 | Llama 4 Scout | 77.6% | estimated ± 6.3 pp, low confidence |
| 102 | Qwen3.5 397B (Reasoning) | 77.6% | estimated ± 6.3 pp, low confidence |
| 103 | Grok 4.1 Fast | 77.2% | estimated ± 6.3 pp, low confidence |
| 104 | Gemma 3 27B | 77.2% | estimated ± 6.3 pp, low confidence |
| 105 | Nova Pro | 77.0% | estimated ± 6.3 pp, low confidence |
| 106 | GPT-4o mini | 76.9% | estimated ± 6.3 pp, low confidence |
| 107 | GPT-4.1 nano | 76.9% | estimated ± 6.3 pp, low confidence |
| 108 | Claude 3 Haiku | 76.7% | estimated ± 6.3 pp, low confidence |
| 109 | LFM2.5-VL-1.6B-Extract | 76.7% | estimated ± 6.3 pp, low confidence |
| 110 | Phi-4 Multimodal Instruct | 76.7% | estimated ± 6.3 pp, low confidence |
| 111 | Command A+ | 76.1% | estimated ± 1.0 pp, medium confidence |
| 112 | Nemotron 3 Nano Omni 30B A3B | 72.2% | measured |
| 113 | Gemma 4 E4B | 70.7% | estimated ± 1.8 pp, low confidence |
| 114 | Qwen2.5-VL-32B | 68.8% | estimated ± 1.8 pp, low confidence |
| 115 | Gemma 4 E2B | 65.5% | estimated ± 1.8 pp, low confidence |
| 116 | LFM2.5-VL-3B | 52.9% | estimated ± 1.0 pp, low confidence |
| 117 | ZAYA1-VL-8B | 50.8% | estimated ± 1.0 pp, low confidence |
| 118 | LFM2.5-VL-450M | 39.2% | estimated ± 1.0 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
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- GDP.pdf
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- Agents' Last Exam
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- BFCL v4
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- Claw-Eval
- CWE-bench v1
- CyberGym
- DeepPlanning
- DeepSearchQA
- DRACO
- ExploitGym
- GDPval-AA
- Gert Labs
- HLE w/ tools
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- MCP Atlas
- MCP-Tasks
- OSWorld-Verified
- OSWorld 2.0
- QwenClawBench
- ResearchClawBench
- SkillsBench
- τ²-bench results
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- Toolathlon
- Toolathlon-Verified
- VITA-Bench
- WideResearch
Coding
- AA Coding Index
- AA-SciCode
- Bug Hunt Bench
- CursorBench 3.1
- CursorBench 3.2
- CursorBench 4.0
- DeepSWE
- FrontierCode 1.1 Main
- FrontierCode 1.1 Extended
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- LiveCodeBench v6
- NL2Repo
- OpenHarmony Bench
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- ProgramBench
- React Native Evals
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- Vals SWE-bench
- Vibe Code Bench
- VulcanBench v3
Math
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- AIME26
- FrontierMath (legacy)
- FrontierMath v2 (Tier 4)
- FrontierMath v2 (Tiers 1-3)
- HMMT Feb 2025
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- HMMT Nov 2025
- IMOAnswerBench
- MATH-500
- MMAnswerBench
Knowledge & reasoning
- AA-GPQA Diamond
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- ARC-AGI-2
- ARC-AGI-1
- ARC-AGI-3
- Artificial Analysis Intelligence Index
- BBH
- BioMysteryBench (human-difficult)
- BioMysteryBench (human-solvable)
- C-Eval
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- 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
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- MMLU-Redux
- MMMLU
- AA-Omniscience Accuracy
- SimpleQA
- SuperGPQA
- Vals GPQA Diamond
- Vals MMLU-Pro
Instruction following
Multilingual
Vision & documents
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- Video-MME (w/o subtitle)
- Video-MME (with subtitle)
- VideoMMMU
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