Moonshot AI (Kimi) kimi-k2.5 VS OpenAI GPT-5.6 Luna
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 12.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: kimi-k2.5 is 1.9x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, kimi-k2.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
kimi-k2.5
Benchmarks & Scores
Coding (swe-bench-pro)
50.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
87.6%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.9x cheaper
$1.20Input: $0.60 | Output: $3.00Context Window
262.14k tokensModel Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+12.0%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+4.7%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensFrequently Asked Questions about kimi-k2.5 vs GPT-5.6 Luna comparison
kimi-k2.5 is cheaper than GPT-5.6 Luna. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.9x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to kimi-k2.5 which scores 50.7%.
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