Benchmark
VideoMME w/o sub.
Video-MME is a comprehensive evaluation benchmark for multi-modal large language models in video analysis. It features 900 videos across 6 primary visual…
- Modality
- multimodal
- Categories
- multimodal, video, vision
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 10
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Qwen2.5 VL 32B Instruct | Qwen | 0.705 | 2025-02-28 | evidence |
| Qwen2.5 VL 72B Instruct | Qwen | 0.733 | 2025-01-26 | evidence |
| Qwen2.5 VL 7B Instruct | Qwen | 0.651 | 2025-01-26 | evidence |
| Qwen3 VL 235B A22B Instruct | Qwen | 0.792 | 2025-09-22 | evidence |
| Qwen3 VL 235B A22B Thinking | Qwen | 0.79 | 2025-09-22 | evidence |
| Qwen3 VL 32B Thinking | Qwen | 0.773 | 2025-09-22 | evidence |
| Qwen3.5-122B-A10B | Qwen | 0.839 | 2026-02-24 | evidence |
| Qwen3.5-27B | Qwen | 0.828 | 2026-02-24 | evidence |
| Qwen3.5-35B-A3B | Qwen | 0.825 | 2026-02-24 | evidence |
| Qwen3.6-35B-A3B | Qwen | 0.825 | 2026-04-16 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.