Moonvit SO 400M
Moonshot AI's Moonvit SO 400M is an open-source, native-resolution vision encoder. It is genuinely best at tasks related to vision encoding, given its initialization and continual pre-training on the SigLIP-SO-400M dataset.
Input
Output
Context
256K
Max Output
33K
Parameters
416.9M
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Estimated GPU requirements for Moonvit SO 400M
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Moonvit SO 400M
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Moonvit SO 400M advertises a context window of 256,000 tokens, with a maximum output of 32,768 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Moonvit SO 400M is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Moonvit SO 400M accepts Image and produces Embedding. 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 Moonvit SO 400M 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; Moonvit SO 400M 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.
About 0.8 GB at INT8 for the weights and a default context, from the catalog's 416.9M parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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