Which is cheaper, Llama 4 Maverick or Mistral Large?

Llama 4 Maverick is cheaper for both input ($0.20/M tokens) and output ($0.60/M tokens), compared to Mistral Large at $2.00/$6.00 per million tokens.

Which is faster, Llama 4 Maverick or Mistral Large?

Llama 4 Maverick is faster at 90 tokens/sec with a TTFT of 250ms, compared to Mistral Large at 75 tokens/sec and 280ms TTFT.

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

Llama 4 Maverick has a 1049K token context window, which is larger Mistral Large's 128K context window.

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

Llama 4 Maverick has a higher coding ELO of 1280 compared to Mistral Large's 1240, making it the stronger choice for code generation and programming tasks.

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

Name: Llama 4 Maverick 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 Maverick is significantly cheaper at $0.20/$0.60 per million tokens vs $2.00/$6.00. Llama 4 Maverick is stronger for coding with a coding ELO of 1280 vs 1240. Llama 4 Maverick ranks higher overall with an Arena ELO of 1290 vs 1245. Llama 4 Maverick offers a larger 1049K context window vs 128K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	Llama 4 Maverick	Mistral Large
Provider	Meta	Mistral
Input Price / 1M tokens	$0.150	$0.500
Output Price / 1M tokens	$0.600	$1.50
Context Window	1.048576M	128K
Max Output Tokens	32,768	8,192
Arena ELO	1,290	1,245
Coding ELO	1,280	1,240
TTFT (ms)	250	280
Tokens/sec	90	75
Multimodal	Yes	No
JSON Mode	Yes	Yes
Function Calling	Yes	Yes
Vision	Yes	No

When to Use Llama 4 Maverick

Choose Llama 4 Maverick when you need: open-source model with strong performance, very affordable via hosted providers, 1m context window, mixture-of-experts architecture. It excels at chatbots, coding, general-purpose, open-source tasks. It is also the more cost-effective option between the two. Its 1049K context window is larger, making it better for long-document processing.

Strengths:

Open-source model with strong performance
Very affordable via hosted providers
1M context window
Mixture-of-experts architecture

Best for:

chatbotscodinggeneral-purposeopen-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 Maverick vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

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