Moonshot AI (Kimi) Kimi K2.7 Code VS OpenAI GPT-5.6 Terra
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 4.8% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 3.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Kimi K2.7 Code offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Terra fully justifies the cost.
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Model Specs
Kimi K2.7 Code
Benchmarks & Scores
Coding (swe-bench-pro)
58.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
N/Agraduate-level science QA
Cost & Performance
Cost (per 1M tokens)3.3x cheaper
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensModel Specs
GPT-5.6 Terra
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+4.8%)
63.4%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
92.9%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Kimi K2.7 Code vs GPT-5.6 Terra comparison
Kimi K2.7 Code is cheaper than GPT-5.6 Terra. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 3.3x cheaper than GPT-5.6 Terra at $5.63/1M tokens.
GPT-5.6 Terra is better for coding tasks on this benchmark. It scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Kimi K2.7 Code which scores 58.6%.
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