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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 10
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.8 Max | 0.904 | Not recorded | Not recorded | 2026-08-02 · model_announcement | LLM Stats |
| Qwen3.6-27B | 0.877 | Not recorded | Not recorded | 2026-04-21 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.873 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.87 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| GPT-5 | 0.867 | Not recorded | Not recorded | 2025-08-07 · model_announcement | LLM Stats |
| Qwen3.6-35B-A3B | 0.866 | Not recorded | Not recorded | 2026-04-16 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.866 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen2.5 VL 32B Instruct | 0.779 | Not recorded | Not recorded | 2025-02-28 · model_announcement | LLM Stats |
| Qwen2.5-Omni-7B | 0.724 | Not recorded | Not recorded | 2025-03-27 · model_announcement | LLM Stats |
| Qwen2.5 VL 7B Instruct | 0.716 | Not recorded | Not recorded | 2025-01-26 · model_announcement | LLM Stats |