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o3-mini vs Mistral Small 3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

o3-mini Cost
$1.98
Mistral Small 3 Cost
$0.05
Mistral Small 3 is 97% cheaper
Featureo3-miniMistral Small 3
ProviderOpenAIMistral
Input Price (1M)$1.10$0.03
Output Price (1M)$4.40$0.11
Context Window200,00033,000

Verdict

o3-mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens. Mistral Small 3 costs $0.03 per 1M input tokens and $0.11 per 1M output tokens. Mistral Small 3 is 97% cheaper on input tokens than o3-mini. For output tokens, Mistral Small 3 is the more affordable option at $0.11/1M vs $4.40.

On context window, o3-mini 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 o3-mini

  • ✓ You need a larger context window (200,000 tokens)
  • ✓ You are already integrated with OpenAI

When to choose Mistral Small 3

  • ✓ You need the lowest input token cost ($ 0.03/1M)
  • ✓ Your workload is output-heavy — Mistral Small 3 generates text cheaper
  • ✓ You are already integrated with Mistral

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 o3-mini cheaper than Mistral Small 3?

Mistral Small 3 is cheaper on input tokens at $0.03/1M vs $1.10/1M for o3-mini — a 97% saving.

What is the context window of o3-mini vs Mistral Small 3?

o3-mini has a 200,000-token context window. Mistral Small 3 has a 33,000-token context window. o3-mini supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: o3-mini or Mistral Small 3?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Small 3 is the cheaper option. For maximum context length, o3-mini supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.