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GitHub's HydraFusion Cuts Cost in Three Benchmarks. Quality in One

Originally published on AI Tech Connect.

What GitHub actually shipped Runtime multi-model orchestration, in preview since 4 September 2026. HydraFusion evaluates each request and assembles a workflow for it, rather than passing every prompt to one model chosen up front. Three execution patterns. Per GitHub's blog: single, where one model solves the task directly; cascade, where an efficient model drafts and a quality gate either accepts the draft or escalates to a stronger model; and critique, where one model drafts, an independent model reviews it, and the original model revises once. Estimated cost fell on every benchmark GitHub published. Between 36% and 67% lower than the Claude Opus 5 baseline, in controlled offline evaluations. Quality did not. Up 4.9 points on TerminalBench 2.1, down 1.5 on DeepSWE, down 0.1 on…


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