Moonshot AI (Kimi)Kimi K2.7 CodeVSOpenAIGPT-5.4
Our Take
We recommend Kimi K2.7 Code for a 3.3x API cost saving at identical performance levels. While both models deliver similar intelligence, Kimi K2.7 Code is the optimal choice for high-volume pipelines. Choose Kimi K2.7 Code for budget efficiency without sacrificing quality.
▶WHY?
Benchmark Calculations & Evidence:
Performance Match: Both models perform almost identically, with an average score gap of just 1.8% across reasoning and coding benchmarks.
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Kimi K2.7 Code scored 58.6%, while GPT-5.4 scored 57.7%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Kimi K2.7 Code scored 90%, while GPT-5.4 scored 92.8%.
Cost Efficiency: Kimi K2.7 Code pricing ($0.95/M input, $4/M output) is 3.3x cheaper than GPT-5.4 ($2.5/M input, $15/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+0.9%)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)3.3x cheaper
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)
57.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+2.8%)
92.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Kimi K2.7 Code vs GPT-5.4
Kimi K2.7 Code is cheaper than GPT-5.4. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 3.3x cheaper than GPT-5.4 at $5.63/1M 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 GPT-5.4 which scores 57.7%.
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