Which is cheaper, Claude Haiku 4 or Mistral Large?

Claude Haiku 4 is cheaper for both input ($0.80/M tokens) and output ($4.00/M tokens), compared to Mistral Large at $2.00/$6.00 per million tokens.

Which is faster, Claude Haiku 4 or Mistral Large?

Claude Haiku 4 is faster at 130 tokens/sec with a TTFT of 150ms, compared to Mistral Large at 75 tokens/sec and 280ms TTFT.

Which has a bigger context window, Claude Haiku 4 or Mistral Large?

Claude Haiku 4 has a 200K token context window, which is larger Mistral Large's 128K context window.

Which is better for coding, Claude Haiku 4 or Mistral Large?

Mistral Large has a higher coding ELO of 1240 compared to Claude Haiku 4's 1195, making it the stronger choice for code generation and programming tasks.

Claude Haiku 4 vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Name: Claude Haiku 4 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

Claude Haiku 4 is significantly cheaper at $0.80/$4.00 per million tokens vs $2.00/$6.00. Mistral Large is stronger for coding with a coding ELO of 1240 vs 1195. Claude Haiku 4 is faster at 130 tokens/sec vs 75 tokens/sec. Mistral Large ranks higher overall with an Arena ELO of 1245 vs 1220. Claude Haiku 4 offers a larger 200K context window vs 128K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	Claude Haiku 4	Mistral Large
Provider	Anthropic	Mistral
Input Price / 1M tokens	$1.00	$0.500
Output Price / 1M tokens	$5.00	$1.50
Context Window	200K	128K
Max Output Tokens	8,192	8,192
Arena ELO	1,220	1,245
Coding ELO	1,195	1,240
TTFT (ms)	150	280
Tokens/sec	130	75
Multimodal	Yes	No
JSON Mode	Yes	Yes
Function Calling	Yes	Yes
Vision	Yes	No

When to Use Claude Haiku 4

Choose Claude Haiku 4 when you need: very fast response times, 200k context window, affordable for anthropic quality, good instruction following. It excels at chatbots, classification, cost-sensitive, high-volume tasks. It is also the more cost-effective option between the two. Its 200K context window is larger, making it better for long-document processing.

Strengths:

Very fast response times
200K context window
Affordable for Anthropic quality
Good instruction following

Best for:

chatbotsclassificationcost-sensitivehigh-volume

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

Claude Haiku 4 vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

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