Which is cheaper, Llama 4 Scout or Mistral Large?

Llama 4 Scout is cheaper for both input ($0.10/M tokens) and output ($0.30/M tokens), compared to Mistral Large at $2.00/$6.00 per million tokens.

Which is faster, Llama 4 Scout or Mistral Large?

Llama 4 Scout is faster at 110 tokens/sec with a TTFT of 200ms, compared to Mistral Large at 75 tokens/sec and 280ms TTFT.

Which has a bigger context window, Llama 4 Scout or Mistral Large?

Llama 4 Scout has a 10486K token context window, which is larger Mistral Large's 128K context window.

Which is better for coding, Llama 4 Scout or Mistral Large?

Mistral Large has a higher coding ELO of 1240 compared to Llama 4 Scout's 1230, making it the stronger choice for code generation and programming tasks.

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

Name: Llama 4 Scout vs Mistral Large — Pricing, Benchmarks & Speed Comparison 2026
Creator: LLMversus
License: https://creativecommons.org/licenses/by/4.0/

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

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.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	Llama 4 Scout	Mistral Large
Provider	Meta	Mistral
Input Price / 1M tokens	$0.080	$0.500
Output Price / 1M tokens	$0.300	$1.50
Context Window	10.48576M	128K
Max Output Tokens	32,768	8,192
Arena ELO	1,250	1,245
Coding ELO	1,230	1,240
TTFT (ms)	200	280
Tokens/sec	110	75
Multimodal	Yes	No
JSON Mode	Yes	Yes
Function Calling	Yes	Yes
Vision	Yes	No

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

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

Side-by-Side Comparison

Frequently Asked Questions

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