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Moonshot AI (Kimi)kimi-k2.5VSMoonshot AI (Kimi)Kimi K2.7 Code

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend Kimi K2.7 Code for its clear benchmark advantage, or the 1.4x cheaper kimi-k2.5 only if your budget requires optimizing costs for very high-volume pipelines. While Kimi K2.7 Code offers superior reasoning and coding, it carries a moderate price premium. Choose Kimi K2.7 Code for quality, or kimi-k2.5 for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Kimi K2.7 Code scored 58.6%, while kimi-k2.5 scored 50.7%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Kimi K2.7 Code scored 90%, while kimi-k2.5 scored 87.6%.
  • Cost Efficiency: kimi-k2.5 pricing ($0.6/M input, $3/M output) is 1.4x cheaper than Kimi K2.7 Code ($0.95/M input, $4/M output).
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    Model Specs

    kimi-k2.5

    Open SourceAPI Available
    Website🤗HF

    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)1.4x cheaper
    $1.20Input: $0.60 | Output: $3.00
    Context Window
    262.14k tokens
    Model Specs

    Kimi K2.7 Code

    Open SourceAPI Available
    Website🤗HF

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+7.9%)
    58.6%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+2.4%)
    90%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $1.71Input: $0.95 | Output: $4.00
    Context Window
    262.14k tokens
    Read our data collection methodology

    Frequently Asked Questions about kimi-k2.5 vs Kimi K2.7 Code

    kimi-k2.5 is cheaper than Kimi K2.7 Code. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.4x cheaper than Kimi K2.7 Code at $1.71/1M tokens.

    Kimi K2.7 Code is better for coding tasks on this benchmark. It scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to kimi-k2.5 which scores 50.7%.

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