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Mistral Small 4 vs o1-pro

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Mistral Small 4 Cost
$0.27
o1-pro Cost
$270.00
Mistral Small 4 is 100% cheaper
FeatureMistral Small 4o1-pro
ProviderMistralOpenAI
Input Price (1M)$0.15$150.00
Output Price (1M)$0.60$600.00
Context Window131,000200,000

Verdict

Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. o1-pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens. Mistral Small 4 is 100% cheaper on input tokens than o1-pro. For output tokens, Mistral Small 4 is the more affordable option at $0.60/1M vs $600.00.

On context window, o1-pro supports 200,000 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 Mistral Small 4

  • ✓ You need the lowest input token cost ($ 0.15/1M)
  • ✓ Your workload is output-heavy — Mistral Small 4 generates text cheaper
  • ✓ You are already integrated with Mistral

When to choose o1-pro

  • ✓ You need a larger context window (200,000 tokens)
  • ✓ 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 Mistral Small 4 cheaper than o1-pro?

Mistral Small 4 is cheaper on input tokens at $0.15/1M vs $150.00/1M for o1-pro — a 100% saving.

What is the context window of Mistral Small 4 vs o1-pro?

Mistral Small 4 has a 131,000-token context window. o1-pro has a 200,000-token context window. o1-pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Mistral Small 4 or o1-pro?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Small 4 is the cheaper option. For maximum context length, o1-pro supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.