Benchmark
Video-MMEw sub
multimodal
reasoning
vision
multimodal
多语言
Video-MME is the first comprehensive evaluation benchmark for multi-modal large language models in video analysis. It consists of 900 videos (254 hours total) across 6 domains and 30 sub-categories, with 2,700 high-quality multiple-choice questions. The benchmark evaluates MLLMs on diverse video types of varying durations (11 seconds to 1 hour) with multi-modal inputs including video frames, subtitles, and audio to assess perception, reasoning, and temporal understanding capabilities.
Top 10
榜单概览
数据说明
分数为 0-100 百分制综合成绩（Elo 榜为相对评分，仅供同榜内比较）。评测分数属事实数据，整理自公开评测体系与厂商公开资料，部分分数为厂商自报口径，不同榜单的评测方法与数据集可能存在差异，请结合多个榜单交叉参考。
Ranking
模型排名
暂无评测数据。