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DeepSeek V3.2

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DeepSeek V3.2 is the extended reasoning variant of DeepSeek-V3.2. Available on AI Gateway since December 1, 2025, it generates up to 163K tokens of chain-of-thought reasoning for complex analytical, scientific, and multi-step problem-solving tasks.

ReasoningFile InputTool UseVision (Image)Implicit Caching
index.ts
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

  • Configuration: DeepSeek V3.2 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.
  • Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use DeepSeek V3.2

Best For

  • Complex scientific problems: A reasoning budget of 163K 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 gives you a high-capacity reasoning engine with an output budget of 163K 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.

Frequently Asked Questions

  • Does DeepSeek V3.2 support tool calling?

    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.

  • What is the maximum output token budget for DeepSeek V3.2?

    Up to 163K tokens per response, compared to 8K for the standard V3.2 chat variant.

  • When would I use DeepSeek V3.2 over DeepSeek-R1?

    Choose DeepSeek V3.2 for the V3.2 stack and reasoning output up to 163K tokens. DeepSeek-R1 is MIT-licensed. If license terms matter for your deployment, confirm the license for the model you pick.

  • Why does the output token budget matter for reasoning models?

    Reasoning models generate a chain-of-thought trace before the final answer. Complex problems can require thousands of reasoning tokens. A budget of 163K tokens provides headroom for multi-step derivations that would exceed an 8K limit.

  • How do I access DeepSeek V3.2 through AI Gateway?

    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.