Audience

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

About MAI-Code-1.1-Flash

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.

Other Popular Alternatives & Related Software
JetBrains Junie
JetBrains Junie
Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped. It works with almost any model you choose, inside IDEs like IntelliJ IDEA, directly from the terminal, or from GitHub and GitLab issues and merge requests. A human stays in the loop. Junie asks for approval before risky actions, and you can redirect it mid-task instead of starting over. Teach Junie your team's coding standards, naming conventions, and review process, and switch from another AI coding agent in seconds with no extra setup.
Learn more
Claude Sonnet 5.5
Claude Sonnet 5.5
(1 Rating)
Claude Sonnet 5.5 is Anthropic’s mid-tier Claude 5.5 model designed for fast, well-scoped everyday work, coding, and professional document creation. Anthropic says it runs more than 30% faster than Claude Sonnet 5 and typically costs up to 30% less per task while keeping the same base token pricing. The model shows major gains in agentic coding, with a 70.6% score on Terminal-Bench 4.0 and stronger performance on FrontierCode and CursorBench than its predecessor. Sonnet 5.5 also performs strongly on knowledge work, computer use, chart understanding, and long-horizon tasks, in some cases approaching Claude Opus 5.5 at higher effort settings. Anthropic positions it as especially useful for debugging, routine coding, collaboration, and producing polished documents, slides, spreadsheets, and user interfaces. Claude Sonnet 5.5 is available across Anthropic’s platforms as well as AWS, Google Cloud, and Microsoft Azure.
Learn more
Claude Fable 5.1
Claude Fable 5.1
(1 Rating)
Claude Fable 5.1 is Anthropic’s advanced AI model for coding, knowledge work, research, and long-running agentic tasks. It is designed to improve on Claude Fable 5 with stronger performance across software engineering, scientific research, multidisciplinary reasoning, computer use, business workflows, and complex problem solving. The model can handle extended multi-step work, verify its own results, diagnose difficult software issues, and operate effectively across tool-heavy workflows. Anthropic also reduced cache-read pricing for Fable 5.1, lowering typical usage costs compared with Fable 5 and creating larger savings for highly agentic workloads. Fable 5.1 includes updated safeguards intended to reduce false positives while allowing more legitimate cybersecurity tasks such as vulnerability discovery for defensive purposes. The model is available through Claude products, the Claude API, Amazon Web Services, Google Cloud, and Microsoft Azure.
Learn more
GitHub Copilot
GitHub Copilot
(6 Ratings)
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.
Learn more

Integrations

See Integrations

Ratings/Reviews - 1 User Review

Overall 4.0 / 5
features 4.0 / 5
More Reviews Write a Review

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/

Videos and Screen Captures

MAI-Code-1.1-Flash Screenshot 1
MAI-Code-1.1-Flash Screenshot 1
Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free

Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

MAI-Code-1.1-Flash Frequently Asked Questions

Q: What kinds of users and organization types does MAI-Code-1.1-Flash work with?
Q: What languages does MAI-Code-1.1-Flash support in their product?
Q: What kind of support options does MAI-Code-1.1-Flash offer?
Q: What other applications or services does MAI-Code-1.1-Flash integrate with?
Q: What type of training does MAI-Code-1.1-Flash provide?

MAI-Code-1.1-Flash Product Features

MAI-Code-1.1-Flash Verified User Reviews

Write a Review
  • A MAI-Code-1.1-Flash User
    Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 26 - 99
    Features
    Pricing
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Pretty good"

    Posted 2026-08-12

    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.

    Overall: Overall, MAI-Code-1.1-Flash looks like a strong everyday developer model: fast, efficient, editor-native, and useful for practical coding work rather than just benchmark bragging.

    Read More...
  • Previous
  • You're on page 1
  • Next