Moonshot AI (Kimi)kimi-k2.6VSMoonshot AI (Kimi)Kimi K2.7 Code
Our Take
We recommend choosing kimi-k2.6 because it outperforms or matches Kimi K2.7 Code across reasoning, coding, and context capacity while being cheaper or equal in cost. Choose kimi-k2.6 for superior overall value.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. kimi-k2.6 scored 58.6%, while Kimi K2.7 Code scored 58.6%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. kimi-k2.6 scored 90.5%, while Kimi K2.7 Code scored 90%.
Context Window: kimi-k2.6 supports a 262k context window compared to 262k for Kimi K2.7 Code.
Cost Comparison: kimi-k2.6 blended CPM is $0.95/$4 compared to $0.95/$4 for Kimi K2.7 Code.
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Benchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+0.5%)
90.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensBenchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00Context Window
262.14k tokensFrequently Asked Questions about kimi-k2.6 vs Kimi K2.7 Code
Both kimi-k2.6 and Kimi K2.7 Code cost the same, with a blended cost of $1.71 per 1 million tokens.
Both kimi-k2.6 and Kimi K2.7 Code score identically at 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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