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Mistral AIMistral Medium 3.5VSMoonshot AI (Kimi)kimi-k2.5

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-k2.5 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-k2.5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
50.7%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
87.6%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.5x cheaper
$1.20Input: $0.60 | Output: $3.00
Context Window
262.14k tokens

Frequently Asked Questions about Mistral Medium 3.5 vs kimi-k2.5

kimi-k2.5 is cheaper than Mistral Medium 3.5. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 2.5x cheaper than Mistral Medium 3.5 at $3.00/1M tokens.

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