DeepSeek V3.2 Thinking
DeepSeek V3.2 Thinking adds extended chain-of-thought reasoning to the V3.2 base model, enabling it to tackle complex math, logic, and analytical problems with transparent step-by-step reasoning. It combines the efficiency of the MoE architecture with deep deliberative capabilities.
As an open-weight reasoning model, V3.2 Thinking fills a crucial gap for teams that need explainable AI reasoning without depending on proprietary services. Its visible reasoning traces are invaluable for educational, research, and compliance applications.
Key Features
Extended chain-of-thought with visible reasoning traces
Strong math, logic, and science reasoning
Open-weight — self-host and inspect reasoning
128K token context window
MoE architecture for efficient inference
Ideal Use Cases
Mathematical problem solving with explainable steps
Scientific analysis requiring transparent reasoning
Educational applications showing worked solutions
Compliance workflows needing auditable AI reasoning
Example Prompts for DeepSeek V3.2 Thinking
Technical Specifications
| Context Window | 128K tokens |
| Modality | Text → Text |
| Provider | DeepSeek |
| Category | Reasoning |
| Architecture | Mixture-of-Experts |
| License | Open Weight |
Frequently Asked Questions
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