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VideoMME w sub.

The first-ever comprehensive evaluation benchmark of Multi-modal LLMs in Video analysis. Features 900 videos (254 hours) with 2,700 question-answer pairs covering 6 primary visual domains and 30 subfields. Evaluates temporal understanding across short (11 seconds) to long (1 hour) videos with multi-modal inputs including video frames, subtitles, and audio.

id videomme-w-sub. · max 1 · 12 models reported

#ModelScore
1Qwen3.8 Max
Alibaba Cloud / Qwen Team · open
0.90
2Seed 1.8
ByteDance
0.88
3Qwen3.6-27B
Alibaba Cloud / Qwen Team · open
0.88
4Qwen3.5-122B-A10B
Alibaba Cloud / Qwen Team · open
0.87
5Qwen3.5-27B
Alibaba Cloud / Qwen Team · open
0.87
6GPT-5
OpenAI
0.87
7Qwen3.5-35B-A3B
Alibaba Cloud / Qwen Team · open
0.87
8Qwen3.6-35B-A3B
Alibaba Cloud / Qwen Team · open
0.87