CA
Chinese Academy of Sciences
Multimodal model · China ·May 2025

OpenOmni

Multimodal Open (Restricted)
7B
Parameters

About OpenOmni

OpenOmni is an AI model developed by Chinese Academy of Sciences, in the multimodal category, released in 2025, made available as an open-weights model with 7B params.

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

Links

Run OpenOmni locally — what to buy

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Sized to what OpenOmni actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is OpenOmni?

OpenOmni is an AI model developed by Chinese Academy of Sciences, in the multimodal category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created OpenOmni?

OpenOmni was developed by Chinese Academy of Sciences and released in 2025.

Is OpenOmni open source or proprietary?

OpenOmni 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 OpenOmni cost?

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

How does OpenOmni perform on benchmarks?

Benchmark scores for OpenOmni 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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