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Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built upon Kimi K2.6, with substantial improvements on real-world long-horizon coding tasks and roughly 30% lower thinking-token usage.

vision tools thinking cloud
Usage
high
Context
256K tokens
Size
1.04T parameters
ollama run kimi-k2.7-code:cloud

Readme

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

Benchmark Kimi K2.6 Kimi K2.7 Code GPT-5.5 Claude Opus 4.8
Coding
Kimi Code Bench v2 50.9 62.0 69.0 67.4
Program Bench 48.3 53.6 69.1 63.8
MLS Bench Lite 26.7 35.1 35.5 42.8
Agentic
Kimi Claw 247 Bench 42.9 46.9 52.8 50.4
MCP Atlas 69.4 76.0 79.4 81.3
MCP Mark Verified 72.8 81.1 92.9 76.4

Reference