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Llama 4 Scout vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Verdict

Llama 4 Scout is significantly cheaper at $0.10/$0.30 per million tokens vs $2.00/$6.00. Llama 4 Scout is faster at 110 tokens/sec vs 75 tokens/sec. Llama 4 Scout offers a larger 10486K context window vs 128K.

Side-by-Side Comparison

FeatureLlama 4 ScoutMistral Large
ProviderMetaMistral
Input Price / 1M tokens$0.080$0.500
Output Price / 1M tokens$0.300$1.50
Context Window10.48576M128K
Max Output Tokens32,7688,192
Arena ELO1,2501,245
Coding ELO1,2301,240
TTFT (ms)200280
Tokens/sec11075
MultimodalYesNo
JSON ModeYesYes
Function CallingYesYes
VisionYesNo
When to Use Llama 4 Scout

Choose Llama 4 Scout when you need: 10m token context window, very affordable, open-source and self-hostable, good general performance. It excels at long-context, chatbots, cost-sensitive, open-source tasks. It is also the more cost-effective option between the two. Its 10486K context window is larger, making it better for long-document processing.

Strengths:

  • 10M token context window
  • Very affordable
  • Open-source and self-hostable
  • Good general performance

Best for:

long-contextchatbotscost-sensitiveopen-source
When to Use Mistral Large

Choose Mistral Large when you need: strong multilingual support, good coding capabilities, european ai alternative, open-weight model available. It excels at coding, multilingual, general-purpose tasks.

Strengths:

  • Strong multilingual support
  • Good coding capabilities
  • European AI alternative
  • Open-weight model available

Best for:

codingmultilingualgeneral-purpose

Frequently Asked Questions

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