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Mistral AIMistral Medium 3.5VSMoonshot 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 Mistral Medium 3.5 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

Mistral Medium 3.5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$3.00Input: $1.50 | Output: $7.50
Context Window
262.14k tokens
Model Specs

Kimi K2.7 Code

Open SourceAPI Available

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)1.8x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens

Frequently Asked Questions about Mistral Medium 3.5 vs Kimi K2.7 Code

Kimi K2.7 Code is cheaper than Mistral Medium 3.5. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 1.8x cheaper than Mistral Medium 3.5 at $3.00/1M tokens.

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