kimi-k2.7-code

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.

Key Features

• Long-horizon coding: Substantial gains on realistic, end-to-end software engineering tasks across 10+ programming languages and a full production tech stack, spanning backend services, infrastructure, performance engineering, systems programming, security, frontend, and ML/data engineering.
• Improved token efficiency: Reduces thinking-token usage by approximately 30% compared with Kimi K2.6, while improving task completion on complex workflows.
• Stronger agentic tool use: Improved performance on multi-step tool calling and MCP-based environments, with interleaved thinking preserved across turns (preserve_thinking) for coherent multi-step coding sessions.
• Native multimodal: Supports image and video input via the MoonViT vision encoder, with a 256K token context window.

Benchmarks

Reference

• Hugging Face