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View guide →The benchmark suite for evaluating AI video generation models.
VBench is an open-source video project by Vchitect (Vchitect/VBench on GitHub). It has 1,805 GitHub stars and 135 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 21 August 2026.
Set up the evaluation suite.
Point it at the video generator to test.
It scores outputs across benchmark dimensions.
Rank models on standardized metrics.
Fair comparison across video models.
Quality, consistency, alignment, and more.
Peer-recognized benchmark design.
Evaluate any video generator.
Same tests, comparable scores.
Apache 2.0 — extend the metrics.
Download the source and move into the project folder.
git clone https://github.com/Vchitect/VBench.git
cd VBenchEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandApache 2.0 licensed — free for research and commercial use.
Multiple dimensions of video quality — see the project page for the full list.
Evaluation needs compute — check the README for requirements.
Yes — it is designed to evaluate any video generator.
Demos cherry-pick; benchmarks measure consistently.
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