MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
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About

Gemini 3.7 Flash is Google’s most intelligent workhorse model yet for coding and agents, delivering substantial improvements across software engineering, knowledge work, web development, and complex business workflows. It shows stronger performance in debugging and issue resolution, higher first-pass code accuracy, and improved generation of production-ready code. For web development, the model creates more functional layouts and feature-complete applications in fewer prompts, with strong design adherence when working from screenshots, images, or complete design systems. In knowledge-dense fields such as finance, law, and biosciences, it provides improved reasoning, accuracy, and complex-document understanding. Gemini 3.7 Flash also performs more effectively on real-world workflow automation and multimodal tasks, supporting use cases ranging from interactive web experiences and data stories to robotics and dynamically generated 3D content.

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.

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

Developers, enterprises, and engineering teams seeking to build agents, automate complex workflows, generate production-ready software, and perform multimodal tasks

Audience

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

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

$0.75 per 1M tokens (input)
$0.75/1M input and $3.75/1M output tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

Overall 4.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • The biggest draw is the focus on complex software engineering, web development, and autonomous agent workflows. If it really improves planning and instruction-following, that matters a lot for coding agents that need to work across multiple steps without drifting. The lower price is a big win too. Flash models are supposed to be the workhorses, so cutting the cost while improving coding quality makes it much more appealing for high-volume use.

Cons

  • Fast models like Gemini 3.7 Flash can be great for everyday development, but I would not hand it a production repo and blindly accept every change.

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

Google
Founded: 1998
United States
google.com

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/

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MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI

Categories

Categories

Integrations

.NET
Android Studio
C
C++
CSS
Cursor
Factory Droid
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform Notebooks
GitHub Copilot
Google AI Mode
OpenClaw
Ruby
Rust
SQL
Scala
Solidity
YAML

Integrations

.NET
Android Studio
C
C++
CSS
Cursor
Factory Droid
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform Notebooks
GitHub Copilot
Google AI Mode
OpenClaw
Ruby
Rust
SQL
Scala
Solidity
YAML
Claim Gemini 3.7 Flash and update features and information
Claim Gemini 3.7 Flash and update features and information
Claim MAI-Code-1.1-Flash and update features and information
Claim MAI-Code-1.1-Flash and update features and information