Model comparison

Gemini 3.1 Pro Preview vs DeepSeek V3.2

Compare Gemini 3.1 Pro Preview vs DeepSeek V3.2 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

Gemini 3.1 Pro Preview

gemini · gemini/gemini-3.1-pro-preview

Input
$2
Output
$12
Context
1M

DeepSeek V3.2

deepseek · deepseek/deepseek-v3.2

Input
$0.28
Output
$0.4
Context
163.8K

Quick take

DeepSeek V3.2 has the lower input price at $0.28 per 1M input tokens. DeepSeek V3.2 is cheaper for the example blended workload below. Gemini 3.1 Pro Preview has the larger context window at 1M tokens.

Choose Gemini 3.1 Pro Preview if...

  • Gemini 3.1 Pro Preview is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • Gemini 3.1 Pro Preview is required if images, screenshots, or visual documents are part of the workflow.

Choose DeepSeek V3.2 if...

  • DeepSeek V3.2 is the better default for cost-sensitive traffic and repeated high-volume calls.
  • DeepSeek V3.2 gives more room for long generated answers, reports, or code output.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload Gemini 3.1 Pro Preview DeepSeek V3.2 Cheaper
1M input + 200K output $4.40 $0.36 DeepSeek V3.2
10M input + 2M output $44.00 $3.60 DeepSeek V3.2
100M input + 20M output $440.00 $36.00 DeepSeek V3.2

Context, output, and capability fit

Gemini 3.1 Pro Preview provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

Gemini 3.1 Pro Preview max output
65.5K
DeepSeek V3.2 max output
163.8K
Gemini 3.1 Pro Preview features
prompt caching, function calling, vision
DeepSeek V3.2 features
prompt caching, function calling

Risk notes for Gemini 3.1 Pro Preview

  • Preview or beta model: verify availability and pricing before production rollout.

Risk notes for DeepSeek V3.2

  • Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.

Routing tags

frontierpreviewreasoninglong-contextmultimodalenterprise-ragragbudgethigh-volumecodingopen-weightlocal-open

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