DeepSeek V3.2 Thinking
DeepSeek V3.2 Thinking is the extended reasoning variant of DeepSeek-V3.2. Available on AI Gateway since December 1, 2025, it generates up to 64K tokens of chain-of-thought reasoning for complex analytical, scientific, and multi-step problem-solving tasks.
import { streamText } from 'ai'
const result = streamText({ model: 'deepseek/deepseek-v3.2-thinking', prompt: 'Why is the sky blue?'})What To Consider When Choosing a Provider
Zero Data Retention
AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.Authentication
AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
DeepSeek V3.2 Thinking does not support tool use. If your pipeline needs both extended reasoning and tool calls, use the standard DeepSeek-V3.2 model, which supports tool calls in both reasoning and non-reasoning modes.
When to Use DeepSeek V3.2 Thinking
Best For
Complex scientific problems:
A reasoning budget of 64K tokens allows thorough exploration of solution paths for mathematical and logical tasks
Structured document analysis:
Multi-step inference for legal reasoning, regulatory interpretation, and academic literature synthesis
Chain-of-thought output:
Research contexts where seeing the full reasoning trace is part of the desired output
Reasoning model evaluation:
The extended output budget lets you observe how the model approaches ambiguous or difficult prompts
Consider Alternatives When
Tool calls required:
Use standard DeepSeek-V3.2, which supports tool use alongside reasoning in both modes
General chat or summarization:
Standard DeepSeek-V3.2 costs less per output token for instruction-following without complex reasoning
Latency-critical responses:
Extended reasoning traces produce longer responses with higher time-to-complete
Conclusion
DeepSeek V3.2 Thinking gives you a high-capacity reasoning engine with an output budget of 64K tokens through a single AI Gateway endpoint, without requiring separate provider credentials. It's most valuable when problem complexity justifies deep chain-of-thought exploration and you don't need tool-use integration.
FAQ
No. The Thinking variant is a pure reasoning engine without tool-use support. For tool calls alongside reasoning, use the standard DeepSeek-V3.2 model.
Up to 64K tokens per response, compared to 8K for the standard V3.2 chat variant.
Choose DeepSeek V3.2 Thinking for the V3.2 stack and reasoning output up to 64K tokens. DeepSeek-R1 is MIT-licensed. If license terms matter for your deployment, confirm the license for the model you pick.
Reasoning models generate a chain-of-thought trace before the final answer. Complex problems can require thousands of reasoning tokens. A budget of 64K tokens provides headroom for multi-step derivations that would exceed an 8K limit.
Use the model ID deepseek/deepseek-v3.2-thinking with an AI Gateway API key or OIDC token. No separate DeepSeek platform account is required.
