GitHub Copilot Fusion Officially Launched: Benchmark Scores Close to Claude Code, Testing Costs Cut in Half
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Breaking from Beating AI: GitHub officially launched Copilot Fusion, its multi-model scheduling system, at the Universe 2026 conference. The system assigns simple tasks to suitable models; for complex tasks, it first tries cheaper models, switches to more powerful ones if they fail, or enables cross-checking between different models. Tests by independent evaluator Artificial Analysis show Fusion Max scores 60 in overall programming performance, close to Claude Code paired with Opus 5.5 Max’s 62. Fusion Max’s average API cost per task is $5.59, with a runtime of around 36 minutes; by comparison, Claude Code with Opus 5.5 Max costs $11.42 and takes roughly 60 minutes. This means Fusion cuts costs by approximately 51% and reduces runtime by about 40%. While frequent model switching may lead to cache losses, the test recorded a 97% cache hit rate for Fusion, versus 95% for Claude Code. The results are, however, limited to specific benchmark tests and do not guarantee half savings for all tasks in real-world use.
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