Nvidia launches a smaller, faster Nemotron model and a router to put it to work

Nvidia says routing between models can cut the cost of a task to roughly a third. In its own internal tests, pairing its open models with Anthropic's Opus 4.8 held frontier-level accuracy while spending about one third of what Opus alone would cost per task.
The plumbing for that is NeMo Switchyard, an open source Rust library for building model routers, released Tuesday. Kong, OpenRouter, and LiteLLM are already integrating it.
The same day brought Nemotron 3.5 Lightning to the open Nemotron 3 family: 30 billion parameters, mixture-of-experts. On reasoning it lands close to the larger Nemotron 3 Super, though both sit below Google's Gemma 4 31B on Artificial Analysis' Intelligence Index. Nvidia claims inference speeds up to 4x higher.
Nemotron 3.5 Lightning is on Hugging Face, ModelScope, and OpenRouter. Switchyard is on GitHub.
Up next
OpenAI halts some internal work with its unreleased Astra model
OpenAI has halted some internal work with Astra, an unreleased model, over concerns about the cyber threat it could pose. High-capability models now run in isolated test environments with added monitoring and detection tooling.
Related stories
- Microsoft-Decision-1 bills input only, at $0.042 per million
- Mistral's 1T-parameter Le Chonk keeps only 49B active
- Mistral Large 4 tops open models at just 15% on legal tasks
- Aleph Alpha puts a 1M-context model on your own servers
- Microsoft brings streaming MAI-Transcribe-2 to its APIs
- AWS's Strands Decider 2B picks from your list, never writes
Comments
No comments yet. Be the first.
Join the conversation
Sign in to leave a comment. It appears after moderation.

