Developed by ByteDance, the BM Model is an open-source image model. It is genuinely best at generating images, as evidenced by its availability on Hugging Face Spaces for demo purposes.
Input
Output
Context
200K
Max Output
n/a
Parameters
-
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The creator's other models in the catalog, with their context, size and license where published.
Put this model beside its alternatives on the same evidence, or go back to the full catalog.
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
BM Model advertises a context window of 200,000 tokens. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. BM Model is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
BM Model accepts Image and produces Image. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for BM Model is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; BM Model is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
ByteDance has not published a parameter count for BM Model, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 4, 2026
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