MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Uptime.com
    479 Ratings
    Visit Website
  • Google Workspace
    69,146 Ratings
    Visit Website
  • LALAL.AI
    5,355 Ratings
    Visit Website
  • one.com
    32 Ratings
    Visit Website
  • JAMS Scheduler
    279 Ratings
    Visit Website
  • Dialpad Support
    1,600 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website
  • StackAI
    54 Ratings
    Visit Website

About

Gemini 3.8 Flash is Google’s most intelligent Flash workhorse model, delivering significant improvements over 3.7 Flash across software engineering, agentic tasks, and critical multi-step reasoning in specialized domains. Built for long-horizon coding and autonomous agents, it can solve complex engineering problems end to end and delivers the dependability required for critical enterprise autonomy across specialized knowledge domains. The model shows stronger performance in quantitative and professional fields that require advanced analysis and reporting, as well as multi-step reasoning across STEM, humanities, and professional subjects. Its gains stem from a core design choice: Gemini 3.8 Flash works harder on complex tasks, executing additional reasoning steps and calling tools iteratively to maximize performance. At higher effort levels, it may use more tokens to pursue stronger results, while developers can select lower effort levels.

About

MAI-Code-1-Flash is a Microsoft coding model built for fast, efficient assistance in everyday developer workflows. Built end-to-end by Microsoft using clean and appropriately licensed data, the model is rolling out to GitHub Copilot individual users in Visual Studio Code through the model picker and the default Auto picker. It is designed around the goal of delivering high-quality coding help with better efficiency, helping engineering teams write better code faster through a lightweight, agentic model integrated into GitHub Copilot and VS Code. MAI-Code-1-Flash was trained directly with GitHub Copilot production harnesses, allowing it to interact with surrounding tools and systems in real developer environments rather than being optimized only for static benchmarks. It supports agentic coding, strong instruction-following across single-turn and multi-turn scenarios, repository question answering, refactoring, telemetry-grounded tasks, and adaptive thinking.

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 professional users wanting to build autonomous agents, solve complex coding tasks, and perform advanced multi-step reasoning across specialized domains

Audience

Developers and engineering teams that need a fast, efficient coding model for GitHub Copilot workflows, refactoring, repository Q&A, and agentic software engineering tasks

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 5.0 / 5
ease 4.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • It holds onto the plan better than earlier Flash models, especially when a task involves multiple files, tools, and several rounds of reasoning. The 1M-token context window is also genuinely useful. I can throw much more of a repo, documentation set, or project history at it without constantly trimming context. I also like that Google kept Flash pricing aggressive. Gemini 3.8 Flash launched at the same introductory price as 3.7 Flash: $0.75 per million input tokens and $3.75 per million output tokens, while still delivering a noticeable jump in coding and agentic capability.

Cons

  • The main downside is that it can use more tokens than 3.7 Flash, especially at higher thinking levels. Google even recommends dropping to lower effort or using 3.7 Flash when compute efficiency matters more than maximum accuracy.

Pros & Cons from Real Users

Pros

  • What I like most is that it is not trying to be the biggest “solve everything” model. It is aimed at the work developers actually do all day: quick edits, explanations, refactors, small bug fixes, code cleanup, and iterative Copilot-style assistance. The GitHub Copilot and VS Code integration is the real advantage. A coding model becomes much more useful when it sits directly inside the editor instead of forcing me to bounce between tools. The efficiency angle matters too. Microsoft calls it a small-tier, inference-efficient coding model, and GitHub says it has been rolling out across more Copilot surfaces. For daily use, speed and cost can matter just as much as raw benchmark power.

Cons

  • The tradeoff is that I would not use it for every hard engineering problem. For deep architecture work, large multi-file changes, or tricky production bugs, I would still compare it against heavier reasoning models and review everything carefully.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
United States
google.com

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/introducingmai-code-1-flash/

Alternatives

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Kimi K2.7 Code

Kimi K2.7 Code

Moonshot AI
MAI-Code-1.1-Flash

MAI-Code-1.1-Flash

Microsoft AI

Categories

Categories

Integrations

Agent Search on Gemini Enterprise Agent Platform
Dart
Devin Desktop
Gemini 3.8 Live
Gemini Enterprise Agent Platform Notebooks
Gemini Managed Agents
Gemini Spark
Google Antigravity
Java
JavaScript
Kotlin
OfoxAI
PHP
PowerShell
Python
Rust
SQL
Visual Studio Code
XML
YAML

Integrations

Agent Search on Gemini Enterprise Agent Platform
Dart
Devin Desktop
Gemini 3.8 Live
Gemini Enterprise Agent Platform Notebooks
Gemini Managed Agents
Gemini Spark
Google Antigravity
Java
JavaScript
Kotlin
OfoxAI
PHP
PowerShell
Python
Rust
SQL
Visual Studio Code
XML
YAML
Claim Gemini 3.8 Flash and update features and information
Claim Gemini 3.8 Flash and update features and information
Claim MAI-Code-1-Flash and update features and information
Claim MAI-Code-1-Flash and update features and information