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DeepSeekDeepSeek V4 ProVSMistral 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 DeepSeek V4 Pro and Codestral 22B directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

DeepSeek V4 Pro

Open SourceAPI Available
Website🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)
52.1%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
88%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Context WindowLarger
1.05M tokens
Model Specs

Codestral 22B

Open SourceAPI Available
Website🤗HF

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)4.8x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens
Read our data collection methodology

Frequently Asked Questions about DeepSeek V4 Pro vs Codestral 22B

Codestral 22B is cheaper than DeepSeek V4 Pro. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 4.8x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

For coding tasks, DeepSeek V4 Pro scores 52.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions).

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