Benchmark
VideoMME w/o sub.
multimodal
video
vision
multimodal
Video-MME is a comprehensive evaluation benchmark for multi-modal large language models in video analysis. It features 900 videos across 6 primary visual domains with 30 subfields, ranging from 11 seconds to 1 hour in duration, with 2,700 question-answer pairs. The benchmark evaluates MLLMs' capabilities in processing sequential visual data and multi-modal content including video frames, subtitles, and audio.
语言EN
满分1
参评模型3
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen2.5 VL 72B Instruct | Alibaba Cloud / Qwen Team | 73.3 | 来源 ↗ |
| 2 | Qwen2.5 VL 32B Instruct | Alibaba Cloud / Qwen Team | 70.5 | 来源 ↗ |
| 3 | Qwen2.5 VL 7B Instruct | Alibaba Cloud / Qwen Team | 65.1 | 来源 ↗ |