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Gemini 3.1 Pro vs o1-pro

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Gemini 3.1 Pro Cost
$4.40
o1-pro Cost
$270.00
Gemini 3.1 Pro is 98% cheaper
FeatureGemini 3.1 Proo1-pro
ProviderGoogleOpenAI
Input Price (1M)$2.00$150.00
Output Price (1M)$12.00$600.00
Context Window1,000,000200,000

Verdict

Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. o1-pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens. Gemini 3.1 Pro is 99% cheaper on input tokens than o1-pro. For output tokens, Gemini 3.1 Pro is the more affordable option at $12.00/1M vs $600.00.

On context window, Gemini 3.1 Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Gemini 3.1 Pro

  • ✓ You need the lowest input token cost ($ 2.00/1M)
  • ✓ Your workload is output-heavy — Gemini 3.1 Pro generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Google

When to choose o1-pro

  • ✓ You are already integrated with OpenAI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Gemini 3.1 Pro cheaper than o1-pro?

Gemini 3.1 Pro is cheaper on input tokens at $2.00/1M vs $150.00/1M for o1-pro — a 99% saving.

What is the context window of Gemini 3.1 Pro vs o1-pro?

Gemini 3.1 Pro has a 1,000,000-token context window. o1-pro has a 200,000-token context window. Gemini 3.1 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Gemini 3.1 Pro or o1-pro?

The best choice depends on your use case. For cost efficiency on input tokens, Gemini 3.1 Pro is the cheaper option. For maximum context length, Gemini 3.1 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.