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Llama 4 Scout vs Ministral 3 3B

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Scout Cost
$0.16
Ministral 3 3B Cost
$0.12
Ministral 3 3B is 25% cheaper
FeatureLlama 4 ScoutMinistral 3 3B
ProviderMetaMistral
Input Price (1M)$0.10$0.10
Output Price (1M)$0.30$0.10
Context Window10,000,000262,000

Verdict

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Ministral 3 3B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens. Llama 4 Scout and Ministral 3 3B have identical input token pricing. For output tokens, Ministral 3 3B is the more affordable option at $0.10/1M 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 Ministral 3 3B

  • ✓ Your workload is output-heavy — Ministral 3 3B 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 Ministral 3 3B?

Llama 4 Scout and Ministral 3 3B have identical input token pricing at $0.10/1M tokens.

What is the context window of Llama 4 Scout vs Ministral 3 3B?

Llama 4 Scout has a 10,000,000-token context window. Ministral 3 3B 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 Ministral 3 3B?

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.