Ratings and Reviews 1 Rating

Total
features

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • JAMS Scheduler Reviews & Ratings
    279 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • Expedience Software Reviews & Ratings
    34 Ratings
    Company Website
  • Virtuoso QA Reviews & Ratings
    131 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Gravity Software Reviews & Ratings
    45 Ratings
    Company Website

What is MAI-Code-1-Flash?

MAI-Code-1-Flash is a groundbreaking coding model launched by Microsoft, designed to offer rapid and effective support to developers in their everyday activities. This carefully developed model, which utilizes clean and properly licensed data, is being rolled out to individual GitHub Copilot users within Visual Studio Code through the model picker and the default Auto picker feature. Its main aim is to improve the quality of coding assistance while increasing productivity, allowing engineering teams to create higher-quality code more quickly with a streamlined model that is seamlessly integrated into GitHub Copilot and VS Code. Importantly, MAI-Code-1-Flash has been trained using production harnesses from GitHub Copilot, enabling it to operate effectively in real-world developer environments and engage with a variety of tools and systems instead of being exclusively fine-tuned for static benchmarks. The model stands out in agentic coding, demonstrates strong instruction-following skills across single-turn and multi-turn interactions, answers repository-related inquiries, executes refactoring, addresses telemetry-driven tasks, and exhibits adaptive thinking capabilities. Consequently, this model marks a notable leap forward in coding assistance technology, poised to revolutionize the manner in which developers interact with their coding environments, thereby fostering greater innovation and creativity in software development.

What is Kimi K2.7 Code?

Kimi K2.7 Code is an open-source agentic coding model from Moonshot AI designed for developers, engineering teams, and AI coding workflows that require long-context understanding and multi-step execution. It is built for real-world software engineering tasks, including code generation, code review, debugging, repository navigation, tool use, and long-horizon development work. The model is described by Moonshot AI as a coding-focused agentic model with stronger performance on complex coding tasks than earlier Kimi K2 releases. Kimi K2.7 Code supports a 256K context window, allowing it to process large codebases, technical requirements, logs, documentation, and multi-file development context in a single workflow. It is available through Kimi Code, which provides developer-oriented tools for using the model in coding tasks. The model can also be accessed through Moonshot’s API platform, where Kimi K2.7 Code and Kimi K2.7 Code Highspeed are offered alongside earlier Kimi models. For developers who want more control, Kimi K2.7 Code is listed on Hugging Face with deployment support for inference engines such as vLLM, SGLang, and KTransformers. It uses OpenAI- and Anthropic-compatible API options, helping teams connect it to existing applications, coding tools, and agent systems more easily. Third-party model listings describe it as using a 1T-parameter mixture-of-experts architecture with 32B active parameters, native INT4 quantization, and reduced thinking-token usage compared with Kimi K2.6. The model is designed to improve efficiency by using fewer reasoning tokens while still supporting demanding programming workflows. Kimi K2.7 Code is a strong fit for developers who want an open, long-context, tool-friendly AI model for software engineering automation and AI-assisted development.

Media

Media

Integrations Supported

Visual Studio Code
Brokk
C
C++
Clarifai
Claw Code
Cloudflare
Factory Droid
GitHub Copilot
Kimi Code
Kimi Work
Kotlin
Kubernetes
Objective-C
OpenAI Codex
Pi Agent
R
Rust
SiliconFlow
Together AI

Integrations Supported

Visual Studio Code
Brokk
C
C++
Clarifai
Claw Code
Cloudflare
Factory Droid
GitHub Copilot
Kimi Code
Kimi Work
Kotlin
Kubernetes
Objective-C
OpenAI Codex
Pi Agent
R
Rust
SiliconFlow
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft AI

Date Founded

2024

Company Location

United States

Company Website

microsoft.ai/news/introducingmai-code-1-flash/

Company Facts

Organization Name

Moonshot AI

Date Founded

2023

Company Location

China

Company Website

www.kimi.com

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic
Claude Mythos 5 Reviews & Ratings

Claude Mythos 5

Anthropic
Kimi K2.7 Code Reviews & Ratings

Kimi K2.7 Code

Moonshot AI
Claude Sonnet 5 Reviews & Ratings

Claude Sonnet 5

Anthropic
MAI-Code-1.1-Flash Reviews & Ratings

MAI-Code-1.1-Flash

Microsoft AI
Kimi K3 Reviews & Ratings

Kimi K3

Moonshot AI