Deepseek Math V2
DeepSeek builds DeepSeek Math V 2, a chat model exceling at mathematical reasoning, particularly theorem proving, with its self-verifiable approach allowing for rigorous step-by-step derivation. Its notable technical trait is a large context window of 131,072 tokens, enabling it to process extensive mathematical proofs.
Input
Output
Context
131K
Max Output
1K
Parameters
-
Technical Specifications
Input Modalities
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Capabilities
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Frequently asked questions about Deepseek Math V2
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Deepseek Math V2 advertises a context window of 131,072 tokens, with a maximum output of 512 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. Deepseek Math V2 is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Deepseek Math V2 accepts Text and produces Text. 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 Deepseek Math V2 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; Deepseek Math V2 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.
DeepSeek has not published a parameter count for Deepseek Math V2, 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, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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