MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI
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About

Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.

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, AI agent builders, enterprise AI teams, software engineering teams, data analysts, knowledge workers, product teams, and organizations that need efficient coding support, multimodal reasoning, computer use, document analysis, agentic workflows, lower token usage, and production-scale Gemini API access

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

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M 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

  • Gemini 3.6 Flash feels like a really solid upgrade from a developer’s point of view. I like that Google is not just chasing “bigger model” headlines here, but focusing on the stuff that matters when you are actually building: coding quality, speed, cost, and token efficiency. The 17% fewer output tokens claim is a big deal for developers running agents, coding assistants, or high-volume workflows. When a model is being called over and over for planning, code edits, summaries, tool calls, and debugging loops, small efficiency gains can turn into real savings.

Cons

  • The main downside is that Flash still sounds like the efficient model, not the absolute top-end reasoning model. For really hard architecture work, long autonomous coding runs, or deep research-heavy tasks, I would still want to test it against the strongest frontier models before making it my default.

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
gemini.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/

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Mythos 5

Claude Mythos 5

Anthropic
MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI
Gemini 4

Gemini 4

Google

Categories

Categories

Integrations

.NET
Agent Search on Gemini Enterprise Agent Platform
C#
CSS
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Managed Agents
Gemini Spark
Google AI Studio
Google AI Ultra
JetBrains Junie
Kotlin
Kubernetes
Microsoft Azure
Objective-C
Rust
Swift
XML

Integrations

.NET
Agent Search on Gemini Enterprise Agent Platform
C#
CSS
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Managed Agents
Gemini Spark
Google AI Studio
Google AI Ultra
JetBrains Junie
Kotlin
Kubernetes
Microsoft Azure
Objective-C
Rust
Swift
XML
Claim Gemini 3.6 Flash and update features and information
Claim Gemini 3.6 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