GitHub used its Universe 2026 conference on October 28 to make Copilot Fusion generally available. Instead of picking a model themselves, developers select Fusion in the model picker and choose an effort level — Standard for everyday work, High for harder tasks, or Max for the most demanding work — and Copilot decides which models to use and whether several should work together.

Fusion combines Copilot's automatic model selection with the multi-model orchestration from Project HydraFusion, which arrived as a research preview in September. Depending on the task it can run a single model, cascade from a cheaper model to a stronger one after a quality check, or have one model critique another's output.

GitHub says Fusion Max scored within two points of Claude Code running Opus 5.5 Max on the Artificial Analysis Coding Agent Index, at about half the cost and 40% less time per task. Enterprise administrators can restrict which models Fusion may draw on and can set it as the default for their users.