Mistral AICodestral 22BVSMoonshot AI (Kimi)Kimi K2.7 Code

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 Codestral 22B and Kimi K2.7 Code directly in their respective provider playgrounds to see which fits your specific prompt styles best.

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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)3.8x cheaper

$0.45Input: $0.30 | Output: $0.90

Context Window

32.77k tokens

Model Specs

Kimi K2.7 Code

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

58.6%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)

90%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$1.71Input: $0.95 | Output: $4.00

Context WindowLarger

262.14k tokens

Read our data collection methodology

Frequently Asked Questions about Codestral 22B vs Kimi K2.7 Code

Codestral 22B is cheaper than Kimi K2.7 Code. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 3.8x cheaper than Kimi K2.7 Code at $1.71/1M tokens.

For coding tasks, Codestral 22B scores 81.1% on human-eval (basic standalone code completion and simple functions), while Kimi K2.7 Code scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).

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