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Mistral Small 3 vs GPT-5

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Mistral Small 3 Cost
$0.05
GPT-5 Cost
$3.25
Mistral Small 3 is 98% cheaper
FeatureMistral Small 3GPT-5
ProviderMistralOpenAI
Input Price (1M)$0.03$1.25
Output Price (1M)$0.11$10.00
Context Window33,000400,000

Verdict

Mistral Small 3 costs $0.03 per 1M input tokens and $0.11 per 1M output tokens. GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Mistral Small 3 is 98% cheaper on input tokens than GPT-5. For output tokens, Mistral Small 3 is the more affordable option at $0.11/1M vs $10.00.

On context window, GPT-5 supports 400,000 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 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

When to choose GPT-5

  • ✓ You need a larger context window (400,000 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 3 cheaper than GPT-5?

Mistral Small 3 is cheaper on input tokens at $0.03/1M vs $1.25/1M for GPT-5 — a 98% saving.

What is the context window of Mistral Small 3 vs GPT-5?

Mistral Small 3 has a 33,000-token context window. GPT-5 has a 400,000-token context window. GPT-5 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Mistral Small 3 or GPT-5?

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, GPT-5 supports 400,000 tokens. Use the comparison table above to find the right fit for your workload.