MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
+
+

Related Products

  • JetBrains Junie
    12 Ratings
    Visit Website
  • Retool
    593 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Assembled
    272 Ratings
    Visit Website
  • Atera
    2,141 Ratings
    Visit Website
  • BAND
    3 Ratings
    Visit Website
  • Robin by Atera
    532 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • Expedience Software
    34 Ratings
    Visit Website
  • Aikido Security
    239 Ratings
    Visit Website

About

GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.

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

Software developers, engineering teams, startups, and enterprises seeking to accelerate coding, automate development tasks, and improve productivity with AI-assisted workflows

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

$10 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
ease 4.2 / 5
features 4.0 / 5
design 4.2 / 5
support 3.6 / 5

Reviews/Ratings

Overall 4.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • - It gives accurate suggestions and auto-completion almost all the time. - It works with almost all the new and old libraries and frameworks. - it gives not only obvious suggestions for auto-completion but also relevant and customized suggestions according to the project. - It is quite straightforward to use just install the extension on the code editor and it starts working like a charm.
  • I am afraid there is nothing positive to say unfortunately. It's not even close to being as good as ChatGPT.
  • - Easy to use, uses context of File currently in use and others in the project. - sometimes need some little things added, but generally can create fully working functions by just a name.
  • Guesses what code you want to generate from context. Good choices as it suggests code from what you have written. Good for tedious coding. Works seamlessly in VS Code.
  • GitHub Copilot works pretty well, and works better than I thought it would when I first decided to try it. It's snappy, works with a variety of IDEs, and is pretty accurate and efficient.

Cons

  • - One thing I noticed is if I am creating a project from scratch it does not give accurate auto-completion right from the start instead it takes time to analyze the project and then provides relevant suggestions. - Pricing can be a bit better.
  • - Doesn't reply 80% of the times - In the 20% of times it does reply it's mostly unusable code
  • - So far haven't found any. - Maybe creates a risk of relying on it to much for some people.
  • Expensive. Unable to trigger on demand. More settings/customizations would be nice.
  • Haven't used it long enough to find any red flags yet, but I will update my review if I come across any cons.

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

GitHub
Founded: 2008
United States
github.com/features/copilot

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/

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Fable 5

Claude Fable 5

Anthropic
Perplexity

Perplexity

Perplexity AI
Claude Mythos 5

Claude Mythos 5

Anthropic
MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI

Categories

Categories

Integrations

Microsoft Azure
Visual Studio Code
Acuvity
Claude Mythos 5
CodeSquire
Django
GPT-5.1 Instant
GPT-5.1 Thinking
GPT-5.2 Pro
GPT-5.2-Codex
GPT-5.4 nano
GPT-5.5
Gemini 3.1 Pro
GitHub
MAI-Code-1.1-Flash
Microsoft Foundry
OpenAI
OpenCode
Vue.js
XHawk

Integrations

Microsoft Azure
Visual Studio Code
Acuvity
Claude Mythos 5
CodeSquire
Django
GPT-5.1 Instant
GPT-5.1 Thinking
GPT-5.2 Pro
GPT-5.2-Codex
GPT-5.4 nano
GPT-5.5
Gemini 3.1 Pro
GitHub
MAI-Code-1.1-Flash
Microsoft Foundry
OpenAI
OpenCode
Vue.js
XHawk
Claim GitHub Copilot and update features and information
Claim GitHub Copilot 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