Kimi K2.7 Code

Kimi K2.7 Code

Moonshot AI
Recursive Flint

Recursive Flint

Recursive
+
+

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About

Kimi K2.7 Code is an open-source, coding-focused agentic AI model developed by Moonshot AI for long-horizon software engineering tasks. It is designed to improve coding performance, agent workflows, and real-world development assistance compared with earlier Kimi K2 versions. The model supports a 256K context window, making it useful for working with large codebases, long technical documents, and complex multi-step programming tasks. Kimi K2.7 Code is available through Kimi Code and API access, with OpenAI- and Anthropic-compatible options for easier integration into developer workflows. It is also listed on Hugging Face and supports deployment through inference engines such as vLLM, SGLang, and KTransformers. With improved agentic capabilities, long-context support, and reduced thinking-token usage compared with K2.6, Kimi K2.7 Code gives developers a flexible open-source option for AI-assisted coding.

About

Recursive Flint is a 40-billion-parameter mixture-of-experts language model for agentic coding on local hardware. It activates about 2.5 billion parameters per token and supports reasoning, multi-turn tool use, and context windows up to 512,000 tokens. Developers can use Flint with coding agents to inspect codebases, fix bugs, implement features, and write tests while running inference on their own hardware. Its weights are published under the Apache 2.0 license. Flint works with llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang; Recursive also provides rec, an inference engine optimized for Apple Silicon M4 Pro and M5 Pro/Max. Setup documentation and examples help developers run the model locally. Flint is for developers and technical teams that want to operate and adapt a code-focused model on their own systems.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Kimi K2.7 Code is best suited for software developers, engineering teams, AI coding tool builders, open-source model users, DevOps teams, and organizations that need long-context code generation, debugging, repository analysis, and agentic software engineering support

Audience

Software developers and technical teams building or using coding agents, especially those seeking to run a coding model locally.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • Kimi K2.7 Code has been a great model for coding and AI agent development. It handles technical prompts well, understands developer workflows, and gives clear, useful responses for real coding tasks. I use it for debugging, writing scripts, improving code structure, and planning agent workflows. It is especially helpful when I need clean reasoning, practical suggestions, and code that is easy to adapt. For AI agents, Kimi K2.7 Code feels reliable and capable. It does a strong job following instructions, working through multi-step tasks, and producing structured outputs that fit automation and agent-based use cases.

Cons

  • It still works best when the prompt includes enough context. For very complex projects or large codebases, I sometimes need to provide extra details to get the best results. I also prefer to review important code before using it, especially for production work, since small mistakes can still happen.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Moonshot AI
Founded: 2023
China
www.kimi.com

Company Information

Recursive
Founded: 2026
United States
recursive.com/updates/introducing-recursive-flint

Alternatives

Alternatives

Laguna XS 2.1

Laguna XS 2.1

Poolside
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Kimi K3

Kimi K3

Moonshot AI
Kimi K3.1 Pro

Kimi K3.1 Pro

Moonshot AI

Categories

AI Coding Models Supported
AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

Ollama Supported
Cerebras Supported
EaseMate AI Supported
HTML Supported
Kimi Supported
Kimi Work Supported
Kubernetes Supported
LM Studio Bionic Supported
Lua Supported
NVIDIA TensorRT Supported
Objective-C Supported
Okara Supported
OpenTag Supported
PHP Supported
PrivatClaw Supported
R Supported
React Supported
Ruby Supported
Tabbit Browser Supported
XML Supported

Integrations

Ollama Supported
Cerebras Not Supported
EaseMate AI Not Supported
HTML Not Supported
Kimi Not Supported
Kimi Work Not Supported
Kubernetes Not Supported
LM Studio Bionic Not Supported
Lua Not Supported
NVIDIA TensorRT Not Supported
Objective-C Not Supported
Okara Not Supported
OpenTag Not Supported
PHP Not Supported
PrivatClaw Not Supported
R Not Supported
React Not Supported
Ruby Not Supported
Tabbit Browser Not Supported
XML Not Supported
Claim Kimi K2.7 Code and update features and information
Claim Kimi K2.7 Code and update features and information
Claim Recursive Flint and update features and information
Claim Recursive Flint and update features and information