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Llama 4 Scout vs Mistral Small 3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Scout Cost
$0.16
Mistral Small 3 Cost
$0.05
Mistral Small 3 is 68% cheaper
FeatureLlama 4 ScoutMistral Small 3
ProviderMetaMistral
Input Price (1M)$0.10$0.03
Output Price (1M)$0.30$0.11
Context Window10,000,00033,000

Verdict

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 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 70% cheaper on input tokens than Llama 4 Scout. For output tokens, Mistral Small 3 is the more affordable option at $0.11/1M vs $0.30.

On context window, Llama 4 Scout supports 10,000,000 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 Llama 4 Scout

  • ✓ You need a larger context window (10,000,000 tokens)
  • ✓ You are already integrated with Meta

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 Llama 4 Scout cheaper than Mistral Small 3?

Mistral Small 3 is cheaper on input tokens at $0.03/1M vs $0.10/1M for Llama 4 Scout — a 70% saving.

What is the context window of Llama 4 Scout vs Mistral Small 3?

Llama 4 Scout has a 10,000,000-token context window. Mistral Small 3 has a 33,000-token context window. Llama 4 Scout supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Llama 4 Scout 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, Llama 4 Scout supports 10,000,000 tokens. Use the comparison table above to find the right fit for your workload.