--- title: "Most Companies Send Every AI Task to Their Most Expensive Model. NVIDIA Just Showed What That's Costing You." date: 2026-08-16T09:00:00Z author: Deepankar Bhadrasen url: https://truehorizon.ai/news/nvidia-nemo-switchyard-model-routing-cost description: "NVIDIA's NeMo Switchyard routes AI requests to the best-fit model, maintaining top-tier accuracy at a third of the cost of defaulting to Claude Opus 4.8." --- # Most Companies Send Every AI Task to Their Most Expensive Model. NVIDIA Just Showed What That's Costing You. > NVIDIA's NeMo Switchyard routes AI requests to the best-fit model, maintaining top-tier accuracy at a third of the cost of defaulting to Claude Opus 4.8. On August 11, [NVIDIA released two things](https://blogs.nvidia.com/blog/nemotron-lightning-switchyard-rtx-dgx/) that matter more together than either does alone: Nemotron 3.5 Lightning, a fast open agent model, and NeMo Switchyard, a router that decides which model actually handles each request. The router is the more important release. It puts a number on a habit most enterprises have never questioned: defaulting every AI task, no matter how simple, to the most expensive model available. ## What actually launched Nemotron 3.5 Lightning is a 30-billion-parameter open mixture-of-experts model built for high-volume, always-on agent work: code review, tool use, security monitoring, billing inquiries. NVIDIA says it delivers up to 4x faster output than comparable models, translating to roughly 30% faster completion on agentic tasks. NeMo Switchyard is the more interesting piece: an open-source routing library that sends each request to whichever model, open, proprietary, or NVIDIA's own, actually fits the job, without requiring an application rewrite. ## The number that should change your AI budget conversation NVIDIA's own benchmark data says routing maintains frontier-level accuracy while cutting task completion cost to nearly a third of what it would cost to send every request to Claude Opus 4.8 alone. That gap exists because most AI workloads are a mix of trivial and demanding tasks, and most companies pay premium-model prices for the trivial ones by default, not by decision. Routing isn't a downgrade. It's matching the tool to the job instead of reaching for the same tool every time. ## Who's already routing production traffic This isn't a lab demo. NVIDIA names real users already on Switchyard: CrowdStrike for security monitoring, the legal AI platform Harvey (with Trajectory) for contract review, CodeRabbit for code review, Lila Sciences for scientific reasoning, and Fastino Labs across software development, finance, and healthcare workflows. Each is routing a different task type through the same underlying mechanism, without rewriting the application in front of it. ## The catch: a router needs real priorities Switchyard routes on quality, latency, and cost, whichever an organization weights per task. That weighting is still a human decision. Get it wrong in one direction and you route everything to the expensive model anyway, defeating the point. Get it wrong in the other direction and a task that actually needed careful handling goes to a cheaper model that wasn't built for it. The router removes the busywork of switching models manually. It doesn't remove the judgment call of deciding what each task actually requires. ## What this means for your AI spend - Break down your AI spend by task type before assuming every workflow needs your most expensive model. Most don't. - Set explicit quality, latency, and cost priorities per task type before routing anything. A router without real priorities just guesses on your behalf. - Pilot routing on your highest-volume, lowest-stakes task first. Prove the cost savings before you trust it with something sensitive. ## Where TrueHorizon fits We design the model strategy underneath our clients' agents, including when not to reach for the most expensive option. **That's not a checklist we're learning on your project.** It's the expertise we bring to it. The right model for a task is a real engineering decision, not a default setting, and getting it wrong quietly inflates AI spend for months before anyone notices. If you suspect your AI spend is going to tasks that never needed your best model, [take our AI readiness assessment](https://truehorizon.ai/assessment) and find out for certain. Source: https://truehorizon.ai/news/nvidia-nemo-switchyard-model-routing-cost