Kimi (Moonshot AI) has released and open-sourced its latest programming model, Kimi-K2.7-Code, and said it delivers benchmark gains and lower inference token usage compared with K2.6. According to Foresight News, the company reported a 21.8% improvement on Kimi Code Bench v2, an 11.0% increase on Program Bench, and a 31.5% rise on MLS Bench Lite.
Kimi said inference token usage was reduced by 30%, alongside improved instruction-following for long-chain programming tasks and higher end-to-end success rates.
The model is available via the Kimi API and Kimi Code, and the company said a six-times speed mode will be introduced soon.
On the same day, Kimi launched the Kimi Code Beta program, allowing users to apply for early access to unreleased models and features.
AI TRENDS | Kimi Releases and Open-Sources Kimi-K2.7-Code Programming Model
2026-06-12 11:04:35
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