Tasks and inputs
DeepSeek V3.2 is listed for Text generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
DeepSeek V3.2 from DeepSeek: Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use. The registry places it in the deepseek family with a release date of 2025-12-01. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, with text output. The registry lists a 128,000-token context window and up to 64,000 output tokens. It also declares reasoning, function calling and structured output. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
The registry marks DeepSeek V3.2 as an open-weight model. Check the linked checkpoint’s licence and runtime requirements before downloading or deploying it. Open weights describe availability, while licence terms determine permitted use. Local inference still requires hardware; a hosted route can charge separately.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Use tasks with checkable intermediate steps and a clear final answer. Keep reasoning settings and tool access consistent across candidates. Count the tokens and retries needed for an accepted result; a context limit or reasoning flag does not predict task accuracy.
A supporting source document was retrieved for this entry. Specifications above remain attributed to the models.dev record unless the publisher supplies a more specific limit. SyncDev has not independently benchmarked DeepSeek V3.2.
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DeepSeek V3.2 is listed for Text generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 128K context and 64K maximum output. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under MIT License. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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