MVBench
multimodal
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About
MVBench is a comprehensive multimodal video understanding benchmark covering 20 challenging video tasks that cannot be effectively solved with a single frame. It employs a novel static-to-dynamic method to generate temporal-related tasks, evaluating models' temporal understanding capabilities ranging from perception to cognition through multiple-choice QA format with ground-truth video annotations.
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Evaluation Stats
Total Models4
Organizations1
Verified Results0
Self-Reported4
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers
Score Distribution
4 models
Top Score
73.6%
Average Score
71.0%
High Performers (80%+)
0Top Organizations
#1Alibaba Cloud / Qwen Team
4 models
71.0%
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Leaderboard
4 models ranked by performance on MVBench
License | Links | ||||
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Aug 29, 2024 | tongyi-qianwen | 73.6% | |||
Jan 26, 2025 | tongyi-qianwen | 70.4% | |||
Mar 27, 2025 | Apache 2.0 | 70.3% | |||
Jan 26, 2025 | Apache 2.0 | 69.6% |