Moonshot AI (Kimi)kimi-k2.5VSOpenAIGPT-5.4 mini
Our Take
We recommend kimi-k2.5 for a 1.4x API cost saving at identical performance levels. While both models deliver similar intelligence, kimi-k2.5 is the optimal choice for high-volume pipelines. Choose kimi-k2.5 for budget efficiency without sacrificing quality.
▶WHY?
Benchmark Calculations & Evidence:
Performance Match: Both models perform almost identically, with an average score gap of just 1.9% across reasoning and coding benchmarks.
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. kimi-k2.5 scored 50.7%, while GPT-5.4 mini scored 54.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. kimi-k2.5 scored 87.6%, while GPT-5.4 mini scored 87.5%.
Cost Efficiency: kimi-k2.5 pricing ($0.6/M input, $3/M output) is 1.4x cheaper than GPT-5.4 mini ($0.75/M input, $4.5/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)Winner (+0.1%)
87.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.4x cheaper
$1.20Input: $0.60 | Output: $3.00Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+3.7%)
54.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
87.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.69Input: $0.75 | Output: $4.50Context WindowLarger
400k tokensFrequently Asked Questions about kimi-k2.5 vs GPT-5.4 mini
kimi-k2.5 is cheaper than GPT-5.4 mini. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.4x cheaper than GPT-5.4 mini at $1.69/1M tokens.
GPT-5.4 mini is better for coding tasks on this benchmark. It scores 54.4% 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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