TU
Tsinghua University
Video model · China ·May 2022

CogVideo

Video Open (Restricted)
9.4B
Parameters

About CogVideo

CogVideo is an AI model developed by Tsinghua University, in the video category, released in 2022, made available as an open-weights model with 9.4B params.

On this page you'll find CogVideo's full specifications. Review provider pricing and benchmark scores below, or compare CogVideo head-to-head with other video models.

Links

Run CogVideo locally — what fits

GPUs with enough VRAM to hold CogVideo at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

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Frequently asked questions

What is CogVideo?

CogVideo is an AI model developed by Tsinghua University, in the video category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created CogVideo?

CogVideo was developed by Tsinghua University and released in 2022.

Is CogVideo open source or proprietary?

CogVideo ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does CogVideo cost?

Pricing for CogVideo depends on the provider. See the providers table on this page for the latest API rates.

How does CogVideo perform on benchmarks?

Benchmark scores for CogVideo are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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