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Moonshot AI (Kimi) Kimi K2.7 Code VS OpenAI GPT-5.6 Sol

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 6.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Kimi K2.7 Code is 6.6x 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 Sol 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/A

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)6.6x cheaper
$1.71Input: $0.95 | Output: $4.00
Context Window
262.14k tokens
Model Specs

GPT-5.6 Sol

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+6.0%)
64.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
94.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Kimi K2.7 Code vs GPT-5.6 Sol comparison

Kimi K2.7 Code is cheaper than GPT-5.6 Sol. Kimi K2.7 Code has a blended cost of $1.71/1M tokens, which is about 6.6x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Kimi K2.7 Code which scores 58.6%.