DeepSeek-V3.2 is a model that harmonizes high computational efficiency with superior reasoning and agent performance. DeepSeek's approach is built upon three key technical breakthroughs: DeepSeek Sparse Attention (DSA), scalable reinforcement learning framework, and large scale agentic task synthesis pipeline.
Managed API (MaaS) specifications
View model card in Model Garden
deepseek-v3.2-maas
- Inputs:
Text , Documents - Outputs:
Text
- Supported
- Not supported
- Supported
- Not supported
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deepseek-v3.2-maas - Launch stage: GA
- Release date: December 10, 2025
Model availability
- Global
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global
ML processing
- United States
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Multi-region
global:
- Max output: 65,536
- Context length: 163,840
Deploy as a self-deployed model
To self-deploy the model, navigate to the DeepSeek-V3.2 model card in the Model Garden console and click Deploy model. For more information about deploying and using partner models, see Deploy a partner model and make prediction requests .

