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- Models ## Latest models
Discover the latest MAI models, designed for real-world intelligence
### MAI-Thinking-1
### MAI-Code-1-Flash
### MAI-Image-2.5
### MAI-Transcribe-1.5 All models
MAI-Thinking-1
Built for the complex problems that matter most, with competitive reasoning and top SWE-Bench Pro results at a mid-weight price.
MAI-Code-1-Flash
Helps your engineering team write better code faster, with a lightweight, agentic model built into GitHub Copilot and VS Code.
MAI-Image-2.5
Create stunning, design-ready images from any text or photo prompt, with best-in-class Arena ELO scores at a lower price.
MAI-Transcribe-1.5
Turn noisy audio into precise, domain-specific transcripts, with leading FLEURS and Artificial Analysis accuracy scores.
* Blog ## Featured stories
The latest breakthroughs and updates from within our team
## Building a hill-climbing machine:Launching seven new MAI models
7 min read
## MAI-Image-2.5 launches at No. 2 for image editing on Arena
4 min read
## Introducing MAI-Code-1-Flash
5 min read All stories
* Careers
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MAI-Code-1-Flash
MAI-Code-1-Flash
From quick fixes to complex engineering challenges, write better code, faster.
From quick fixes to complex engineering
challenges, write better code, faster.
Features
Features

Coding task reasoning
Coding task reasoning
MAI-Code-1-Flash plans and reasons through complex coding tasks from start to finish, so you spend less time debugging and more time building.
MAI-Code-1-Flash plans and reasons
through complex coding tasks from
start to finish, so you spend less time
debugging and more time building.

Agentic execution
Agentic execution
Takes initiative across multi-step workflows, making decisions and adapting autonomously without waiting for input.
Takes initiative across multi-step
workflows, making decisions and adapting
autonomously without waiting for input.
Broad programming language support
Broad programming
language support
Fluent across programming languages, frameworks, and ecosystems.

Optimized for GitHub Copilot in VS Code
Optimized for GitHub
Copilot in VS Code
Custom-trained for native VS Code integration, working better together with GitHub Copilot.
Custom-trained for native VS Code
integration, working better together with
GitHub Copilot.
Performance
Performance
SWE-Bench Pro
51.2 %
Coding capabilities
AIME 2026
92.5 %
Math performance
IFBench
75 %
Instruction following
Dig Deeper
Try MAI-Code-1-Flash
Try MAI-Code-1-Flash
GitHub Copilot in Visual Studio Code
From strategy to shipped code, keep every project moving forward.
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