MLVU — leaderboard
Multi-task Long Video Understanding benchmark with diverse evaluation tasks across multiple video lengths and genres.
Metric: M-Avg (%). Source: github.com. Status: saturated. 41 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Full mark | 100 |
| 2 | [LVAgent](https://github.com/64327069/LVAgent) | 83.9 |
| 3 | [TSPO](https://github.com/Hui-design/TSPO) | 77.3 |
| 4 | [TSPO](https://github.com/Hui-design/TSPO) | 76.3 |
| 5 | [VideoChat-Flash](https://github.com/OpenGVLab/VideoChat-Flash) | 74.7 |
| 6 | [VideoLLaMA3](https://github.com/DAMO-NLP-SG/VideoLLaMA3) | 73 |
| 7 | [Oryx-1.5](https://oryx-mllm.github.io) | 72.3 |
| 8 | [Aria](https://rhymes.ai/blog-details/aria-first-open-multimodal-native-moe-model) | 70.6 |
| 9 | [LinVT](https://github.com/gls0425/LinVT) | 68.9 |
| 10 | [LLaVA-OneVision](https://github.com/LLaVA-VL/LLaVA-NeXT/tree/main) | 66.4 |
Interactive version: theaggregate.ai/benchmark?slug=mlvu · How the rankings work · Data refreshed daily, snapshot 2026-07-22.