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AnthropicClaude Haiku 4.5VSMistral AICodestral 22B

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Claude Haiku 4.5 and Codestral 22B directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Claude Haiku 4.5

Benchmarks & Scores

Coding (swe-bench-verified)
73.3%

multi-file code and clearly defined tasks

Reasoning (gpqa-diamond)
73%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$2.00Input: $1.00 | Output: $5.00
Context WindowLarger
200k tokens
Model Specs

Codestral 22B

Open SourceAPI Available

Benchmarks & Scores

Coding (human-eval)
81.1%

basic standalone code completion and simple functions

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)4.4x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens

Frequently Asked Questions about Claude Haiku 4.5 vs Codestral 22B

Codestral 22B is cheaper than Claude Haiku 4.5. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 4.4x cheaper than Claude Haiku 4.5 at $2.00/1M tokens.

For coding tasks, Claude Haiku 4.5 scores 73.3% on swe-bench-verified (multi-file code and clearly defined tasks), while Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions).

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