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MAI-Code-1.1-Flash: Better, faster, at a quarter of the cost
Microsoft launched MAI-Code-1.1-Flash, which delivers better code generation at a quarter of the cost by training on real-world GitHub Copilot feedback loops.
What: The model, which is now available in GitHub Copilot, shows a 22% improvement on Terminal-Bench 2.1 and a 15% boost in .NET tasks compared to the version released in June 2026.
Why it matters: Microsoft is emphasizing high-frequency reinforcement learning from real developer interactions within the CLI and IDE to optimize for inference cost rather than just raw parameter count.
Takeaway: Expect faster and slightly more accurate code suggestions in your IDE if you are using the latest version of GitHub Copilot.
Original article
MAI-Code-1.1-Flash produces higher quality code at 25% greater token efficiency and at a quarter of the cost compared to the previous model launched in June. This was achieved by optimizing for real-world use across hundreds of thousands of reinforcement-learning environments in GitHub Copilot. MAI-Code-1.1-Flash shows a 22% improvement on Terminal-Bench 2.1 in GitHub Copilot CLI and a 15% improvement on .NET tasks. It is now available in GitHub Copilot.
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