Video-MME leaderboard
1 ranked models · higher is better
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| Kimi K2.5 | #1 | Moonshot AI | 87.4% |
Loading benchmark header
Loading benchmark registry
Multimodal · Benchmark profile
A comprehensive benchmark for multimodal large language models on video understanding, covering temporal reasoning, perception, and question answering over videos.
Data verified 21 Jul 2026 · Methodology 1.6.0
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
1 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| Kimi K2.5 | #1 | Moonshot AI | 87.4% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Kimi K2.5 kimi-k2.5 | Moonshot AI | — | Reference only | 87.4% |
About Video-MME
A comprehensive benchmark for multimodal large language models on video understanding, covering temporal reasoning, perception, and question answering over videos. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
A comprehensive benchmark for multimodal large language models on video understanding, covering temporal reasoning, perception, and question answering over videos.
Kimi K2.5 by Moonshot AI currently leads with 87.4%.
1 model in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
Related