DeepSeekDeepSeek V4 FlashVSMistral 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 Flash 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 Flash

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

49.1%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)

80%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.6x cheaper

$0.17Input: $0.14 | Output: $0.28

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)

$0.45Input: $0.30 | Output: $0.90

Context Window

32.77k tokens

Read our data collection methodology

Frequently Asked Questions about DeepSeek V4 Flash vs Codestral 22B

DeepSeek V4 Flash is cheaper than Codestral 22B. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 2.6x cheaper than Codestral 22B at $0.45/1M tokens.

For coding tasks, DeepSeek V4 Flash scores 49.1% 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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