Video-MME
A comprehensive evaluation benchmark for multimodal LLMs in video analysis, using 900 videos (254 hours) and 2,700 human-annotated multiple-choice QA pairs across short, medium, and long durations, scored by answer accuracy with and without subtitles.
What this benchmark measures
A comprehensive evaluation benchmark for multimodal LLMs in video analysis, using 900 videos (254 hours) and 2,700 human-annotated multiple-choice QA pairs across short, medium, and long durations, scored by answer accuracy with and without subtitles.
Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.
The metric shown here is accuracy. It should be interpreted within Video-MME, not compared as part of a site-wide ranking.