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Mistral AICodestral 22BVSMoonshot AI (Kimi)Kimi K3

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 K3 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

Benchmarks & Scores

Coding (human-eval)
81.1%

good at code completion, standalone functions, and basic algorithms

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 K3

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
93.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00
Context WindowLarger
262.14k tokens

Frequently Asked Questions about Codestral 22B vs Kimi K3

Codestral 22B is cheaper than Kimi K3. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 3.8x cheaper than Kimi K3 at $1.71/1M tokens.

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