Microsoft has introduced a local edition of MAI-Code-1.1-Flash that runs on Windows PCs without server access. The model requires substantial memory and is coming to GitHub Copilot in experimental preview by the end of October, starting with Nvidia RTX Spark PCs.
Wrong: Claude Opus 5.5's 87.6% and GPT-6 Astra's 87.3% Terminal-Bench 2.1 scores read as Microsoft's own figures. Right: those scores come from Vals AI's Terminal-Bench 2.1 leaderboard, which uses a different test setup; Microsoft reported only its own model's scores (62.9% cloud, 66.3% local).
Wrong: said Microsoft recommends more than 120 GB of video memory to run the local MAI-Code-1.1-Flash. That figure came from Frandroid, not Microsoft. Right: Microsoft says the local model's memory use peaks at 75.5 GB at its full 256K context, so it effectively needs a 128 GB RTX Spark machine.
Wrong: said MAI-Code-1.1-Flash activates 5 billion parameters per step and was "confirmed in development" for GitHub Copilot, and gave only the cloud model's 62.9% Terminal-Bench 2.1 score. Right: Microsoft says the model has 137 billion total and 6.8 billion active parameters; the local version comes to GitHub Copilot in experimental preview by the end of October; on Terminal-Bench 2.1 the cloud model scored 62.9% and the local version 66.3%.
Microsoft says memory use peaks at 75.5 GB at the full 256K context, so it effectively needs a 128 GB RTX Spark machine.
Computations occur on the device itself, so Microsoft states users will not be billed for tokens.
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