Ask

Llama 4 Scout vs Mistral Large 3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Scout Cost
$0.16
Mistral Large 3 Cost
$0.80
Llama 4 Scout is 80% cheaper
FeatureLlama 4 ScoutMistral Large 3
ProviderMetaMistral
Input Price (1M)$0.10$0.50
Output Price (1M)$0.30$1.50
Context Window10,000,000262,000

Verdict

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Mistral Large 3 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Llama 4 Scout is 80% cheaper on input tokens than Mistral Large 3. For output tokens, Llama 4 Scout is the more affordable option at $0.30/1M vs $1.50.

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 the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Llama 4 Scout generates text cheaper
  • ✓ You need a larger context window (10,000,000 tokens)
  • ✓ You are already integrated with Meta

When to choose Mistral Large 3

  • ✓ 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 Large 3?

Llama 4 Scout is cheaper on input tokens at $0.10/1M vs $0.50/1M for Mistral Large 3 — a 80% saving.

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

Llama 4 Scout has a 10,000,000-token context window. Mistral Large 3 has a 262,000-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 Large 3?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Scout 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.