Moonshot AI (Kimi)kimi-k2.5VSOpenAIGPT-5.5
Our Take
We recommend GPT-5.5 if you need peak intelligence for reasoning and coding tasks, or the 9.4x cheaper kimi-k2.5 to optimize your budget for high-volume pipelines. While GPT-5.5 holds a clear performance lead, it carries a heavy price premium. Choose GPT-5.5 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-5.5 scored 58.6%, while kimi-k2.5 scored 50.7%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.5 scored 93.6%, while kimi-k2.5 scored 87.6%.
Cost Efficiency: kimi-k2.5 pricing ($0.6/M input, $3/M output) is 9.4x cheaper than GPT-5.5 ($5/M input, $30/M output).
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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)9.4x cheaper
$1.20Input: $0.60 | Output: $3.00Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+7.9%)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+6.0%)
93.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about kimi-k2.5 vs GPT-5.5
kimi-k2.5 is cheaper than GPT-5.5. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 9.4x cheaper than GPT-5.5 at $11.25/1M tokens.
GPT-5.5 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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