Kimi最强编程模型来了：Token消耗直降30%，过度思考有救了，附一手实测 - 智东西
Quick Answer
The newly released Kimi K2.7 Code model features 1.1 trillion parameters and a 256K context window, reducing token consumption by 30% and improving performance in long-context programming tasks.
Quick Take
While it shows significant gains over K2.6, it still trails behind models like GPT-5.5 and Opus 4.8. The model is now available on the Kimi API platform with pricing consistent with its predecessor.
Key Points
- Kimi K2.7 Code model launched with 1.1 trillion parameters and 256K context window.
- Token consumption reduced by 30%, enhancing performance in long-context programming.
- Benchmark tests show improvements of 10%-31.5% over K2.6, but still behind GPT-5.5.
- Kimi API pricing for K2.7 Code matches K2.6, with slight increases for cached inputs.
- High-speed version of K2.7 Code to be released, offering 5-6 times faster output.
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