Video-MME
Video-MME is the first-ever comprehensive evaluation benchmark of Multi-modal Large Language Models (MLLMs) in video analysis. It features 900 videos totaling 254 hours with 2,700 human-annotated question-answer pairs across 6 primary visual domains (Knowledge, Film & Television, Sports Competition, Life Record, Multilingual, and others) and 30 subfields. The benchmark evaluates models across diverse temporal dimensions (11 seconds to 1 hour), integrates multi-modal inputs including video frames, subtitles, and audio, and uses rigorous manual labeling by expert annotators for precise assessment.
Kimi K2.5 from Moonshot AI currently leads the Video-MME leaderboard with a score of 0.874 across 11 evaluated AI models.
Kimi K2.5 leads with 87.4%, followed by 
Gemini 2.5 Pro at 84.8% and 
Qwen3.6 Plus at 84.2%.
Progress Over Time
Interactive timeline showing model performance evolution on Video-MME
Video-MME Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | — | — | ||
| 2 | Google | — | 1.0M | $1.25 / $10.00 | ||
| 3 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 4 | Google | — | — | — | ||
| 5 | Google | — | — | — | ||
| 6 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 7 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 8 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.18 / $2.09 | ||
| 9 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.08 / $0.50 | ||
| 10 | Google | 8B | — | — | ||
| 11 |  Microsoft | 6B | — | — |
FAQ
Common questions about Video-MME.
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