Microsoft upgrades its Copilot coding model 10 weeks after launch

The 138 billion-parameter mixture-of-experts model adds image input and arrives 10 weeks after Microsoft's first in-house Copilot coding model.

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Primary source: Microsoft AI

Why it matters

Microsoft is using Copilot usage and its production harness to compress model iteration into weeks, lowering inference costs while reducing its dependence on outside model vendors.

Microsoft upgrades its Copilot coding model 10 weeks after launch — The 138 billion-parameter mixture-of-experts model adds image input and arrives 10 weeks after Microsoft's first in-house Copilot coding model.

Microsoft released MAI-Code-1.1-Flash on August 11th and put the coding model into production in GitHub Copilot, replacing the first version of its in-house coding model just 10 weeks after launch.

In its announcement, Microsoft said the update streams tokens 25% faster, uses 25% fewer tokens to finish a task and costs one quarter as much as MAI-Code-1-Flash, which debuted on June 2nd. Microsoft also added image input, allowing the model to turn screenshots, diagrams and interface designs into code.…

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