@nvidia’s Nemotron 3 Ultra handles software-engineering tasks at a fraction of the per-task cost of frontier models. So we trained a router to send each coding task to the cheapest model that can successfully solve it, cutting inference cost while holding frontier-level quality.
The result: GPT-5.5-level pass rates on held-out SWE-bench Verified at ~25% lower cost. The oracle policy sends 72% of tasks to Nemotron 3 Ultra, and the trained router captures most of that.
