GitHub launches Copilot Fusion: Automated model orchestration claims parity with Claude Code at half the cost
GitHub has released Copilot Fusion, a new system that automatically selects and orchestrates AI models for coding tasks. The company reports it achieves performance comparable to Claude Code Opus 5.5 Max while reducing API costs by approximately 50% and task time by 40%.
GitHub officially launched GitHub Copilot Fusion on Wednesday at GitHub Universe in San Francisco. This new feature is designed to automate the selection and orchestration of large language models within its coding assistant, aiming to relieve developers of the burden of manually choosing which model to use for different types of coding tasks, such as reasoning, code generation, debugging, or tool use.
Copilot Fusion combines the runtime model orchestration capabilities previously seen in Project HydraFusion with GitHub's existing Copilot Auto Model Selection. According to GitHub, this integration allows the system to dynamically route requests to the most appropriate model. For example, it can employ a "cascading" workflow where one model generates code and another evaluates it, or a "critique" workflow where models review each other's work. Developers retain control over the effort level—Standard, High, or Max—but the underlying model selection is handled by the system.
In a statement provided to The New Stack, Hari Pokhrel, principal software engineer at AT&T, noted that developers often inadvertently choose overly powerful models for simple tasks, leading to inefficiency. "Previously, developers would often choose a more powerful model for a complex task and forget to switch back for everyday activities," Pokhrel said. He credited Copilot Fusion Standard with improving token efficiency at AT&T and reducing unnecessary spending.
GitHub claims that Copilot Fusion Max delivers benchmark performance comparable to Anthropic's Claude Code with Opus 5.5 Max, but at about half the average API cost per task and in about 40% less time. On the Artificial Analysis Coding Agent Index, GitHub reports that Fusion Max scored 60, within two points of Claude Code Opus 5.5 Max. These figures are self-reported by GitHub and have not been independently verified. The system is generally available now as part of GitHub's broader strategy to make its platform a comprehensive software delivery system where AI handles routine decisions while humans focus on direction and outcomes.