Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6.
Kimi K2.7 Code can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
On-demand deployments allow you to use Kimi K2.7 Code on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
