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Moonshot AI (Kimi)kimi-k2.5VSOpenAIGPT-5.4

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

Our Take

We recommend GPT-5.4 if you need peak intelligence for reasoning and coding tasks, or the 4.7x cheaper kimi-k2.5 to optimize your budget for high-volume pipelines. While GPT-5.4 holds a clear performance lead, it carries a heavy price premium. Choose GPT-5.4 for complex logic, or kimi-k2.5 for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
  • Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. GPT-5.4 scored 57.7%, while kimi-k2.5 scored 50.7%.
  • Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 scored 92.8%, while kimi-k2.5 scored 87.6%.
  • Cost Efficiency: kimi-k2.5 pricing ($0.6/M input, $3/M output) is 4.7x cheaper than GPT-5.4 ($2.5/M input, $15/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)4.7x cheaper
    $1.20Input: $0.60 | Output: $3.00
    Context Window
    262.14k tokens
    Model Specs

    GPT-5.4

    Website

    Benchmarks & Scores

    Coding (swe-bench-pro)Winner (+7.0%)
    57.7%

    complex codebases, multi-file repositories, and architectural planning

    Reasoning (gpqa-diamond)Winner (+5.2%)
    92.8%

    graduate-level science QA

    Cost & Context

    Cost (per 1M tokens)
    $5.63Input: $2.50 | Output: $15.00
    Context WindowLarger
    1.05M tokens
    Read our data collection methodology

    Frequently Asked Questions about kimi-k2.5 vs GPT-5.4

    kimi-k2.5 is cheaper than GPT-5.4. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 4.7x cheaper than GPT-5.4 at $5.63/1M tokens.

    GPT-5.4 is better for coding tasks on this benchmark. It scores 57.7% 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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