Emu2

Multimodal Open Weights
37B
Parameters

About Emu2

Emu2 is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI, in the multimodal category, released in 2024, made available as an open-weights model with 37B params.

On this page you'll find Emu2's full specifications. Review provider pricing and benchmark scores below, or compare Emu2 head-to-head with other multimodal models.

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Run Emu2 locally — what to buy

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Sized to what Emu2 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 Emu2?

Emu2 is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Emu2?

Emu2 was developed by Beijing Academy of Artificial Intelligence / BAAI and released in 2024.

Is Emu2 open source or proprietary?

Emu2 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 Emu2 cost?

Pricing for Emu2 depends on the provider. See the providers table on this page for the latest API rates.

How does Emu2 perform on benchmarks?

Benchmark scores for Emu2 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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