MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
Qwen3.8-27B

Qwen3.8-27B

Alibaba
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About

MAI-Code-1.1-Flash is a small, efficient coding model designed to help engineering teams write better code faster. Now in production in GitHub Copilot and built into VS Code, it focuses on real-world developer workflows, with particular improvements for command-line tasks and .NET development based on developer feedback. Compared with the version introduced at Microsoft Build in June, the model produces higher-quality code while using fewer tokens and streaming responses faster. Microsoft reports a 22% improvement on Terminal-Bench 2.1 in GitHub Copilot CLI and a 15% improvement on .NET tasks. Production results also showed a 4% increase in code survival and a 9% increase in return visits. In GitHub Copilot, tokens stream 25% faster and the model uses 25% fewer tokens to complete a task, aiming to deliver faster answers, less waiting, and more useful work from every token. Its gains come from improved training and serving efficiency, with optimization centered on real-world use.

About

Qwen3.8-27B is an announced 27-billion-parameter model in Alibaba’s Qwen3.8 family, positioned as the compact open-weight counterpart to the much larger Qwen3.8-Max. Qwen introduced the broader Qwen3.8 generation as a new frontier model family focused on coding, agentic work, multimodal understanding, and long-running autonomous tasks. The 27B release is intended to bring that generation to a size that is far more practical for local deployment, experimentation, fine-tuning, and integration into developer workflows. Qwen has confirmed that Qwen3.8-27B will be released with open weights, extending the company’s line of downloadable mid-sized models for users who want direct control over inference and deployment. At the time of announcement, Qwen had not yet published the model card, benchmark table, architecture details, context length, quantization options, or complete deployment guidance for the 27B checkpoint.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software engineering teams and developers seeking to write and complete code faster with an efficient AI coding model integrated into their development workflow

Audience

Application developers, engineers and individuals looking for a compact open-weight model for coding, agents, multimodal work, and self-hosted experimentation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
features 4.0 / 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:

Review this Software

Pros & Cons from Real Users

Pros

  • The agentic coding angle is the best part. It can plan, reason, and execute across coding tasks, which makes it useful beyond simple autocomplete. I also like the screenshot-to-prototype feature. Being able to understand screenshots, diagrams, and designs could save a lot of time when turning UI ideas into working code.

Cons

  • The main downside is that I would still review everything carefully. Even a strong coding model can make bad assumptions, miss edge cases, or produce code that looks right but fails in a real project.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/mai-code-1-1-flash-br-better-faster-at-a-quarter-of-the-cost/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

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Categories

Categories

Integrations

Alibaba Cloud
Cherry Studio
Cline
ClinePass
GitHub Copilot
Hermes Agent
Hugging Face
Microsoft Foundry
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
Visual Studio Code

Integrations

Alibaba Cloud
Cherry Studio
Cline
ClinePass
GitHub Copilot
Hermes Agent
Hugging Face
Microsoft Foundry
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
Visual Studio Code
Claim MAI-Code-1.1-Flash and update features and information
Claim MAI-Code-1.1-Flash and update features and information
Claim Qwen3.8-27B and update features and information
Claim Qwen3.8-27B and update features and information