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Kimi K2.7 Code

Moonshot AIOpen WeightsPending Human Review

Kimi K2.7 Code is a separately positioned coding specialization of the native multimodal K2 family. It improves long-horizon software engineering and reasoning efficiency while retaining image and video input for visual coding tasks. The model supports a 256K context and always runs in thinking mode; Kimi Code requests with thinking disabled fall back to K2.6. Public modified-MIT weights support self-hosting, and the official kimi-k2.7-code API exposes the model to coding agents. Its identity is distinct from a general-purpose K2.7 release, which is not implied by this page.

2026-06-12
1T total, 32B activated; 400M vision encoder
Mixture of Experts (MoE) with MoonViT vision encoder
Modified MIT

Specifications

Parameters
1T total, 32B activated; 400M vision encoder
Architecture
Mixture of Experts (MoE) with MoonViT vision encoder
License
Modified MIT
Context Window
262,144 tokens
Type
multimodal
Modalities
textimagevideo

Benchmark Scores

Advanced Specifications

Model Family
Kimi
API Access
Available
Chat Interface
Not Available
Variants
Kimi-K2.7-Code-HighSpeed (same coding model, faster serving)

Capabilities & Limitations

Capabilities
reasoningcode generationtool uselong-horizon codingvisual debugging
Known Limitations
Thinking mode is required; non-thinking requests in Kimi Code can fall back to K2.6.Local deployment requires substantial memory for the full MoE weights.Agent performance depends on tools, harness configuration, and context management.
Notable Use Cases
repository maintenancecoding agentsscreenshot-based interface development
Function Calling Support
Yes
Tool Use Support
Yes

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