Multimodal & Grounded benchmark
VideoMMMU leaderboard
Every model the catalog carries a published VideoMMMU value for, ranked by that value.
A video extension of MMMU-style multimodal reasoning over expert questions grounded in temporal media.
VideoMMMU ranking
11 models with a published VideoMMMU value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Video + text reasoning |
|---|---|---|---|
| 1 | Alibaba | 88.7 | |
| 2 | 87.6 | ||
| 3 | DSdots3-note Preview | Dots Studio | 86.8 |
| 4 | Moonshot AI | 86.6 | |
| 5 | Alibaba | 85.4 | |
| 6 | Alibaba | 84.7 | |
| 7 | MiniMax | 84.6 | |
| 8 | Anthropic | 84.4 | |
| 8 | Alibaba | 84.4 | |
| 10 | Alibaba | 84.0 | |
| 11 | Alibaba | 83.7 |
Evidence key: Observed
Rows are ordered by the value Qwen3.6 launch benchmarks published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.