NVIDIA Nemotron 3 Ultra matches closed-model performance at 10x lower cost via LangChain harness tuning
NVIDIA Nemotron 3 Ultra has achieved benchmark-leading performance on LangChain's Deep Agents test suite without model retraining, running at 10x lower inference cost than leading closed models and delivering business task parity with the highest-scoring proprietary models. LangChain tuned its Deep Agents harness—not the model itself—by engineering system prompts, tool descriptions, and middleware around Nemotron 3 Ultra. Every gain came from environment engineering rather than fine-tuning, and the optimized profile is now available directly in LangChain.
LangChain has 200+ million monthly downloads and with this tuning offers enterprises a fully open stack combining the tuned Nemotron 3 Ultra model, LangChain Deep Agents orchestration code, and NVIDIA's OpenShell secure runtime for safe agent action execution. Early adopters include Abridge, Amdocs, Box, and global systems integrator EY, who are embedding specialized agents directly into platforms and expanding NVIDIA implementation capabilities. The architecture—open model, open harness, open runtime—allows enterprises to own and customize the full stack end-to-end.
Nemotron 3 Ultra is available today through hosted platforms including Baseten, Crusoe Cloud, DeepInfra, Fireworks, Nebius, and Together AI. The tuned blueprint (NVIDIA NemoClaw for LangChain Deep Agents) is available now, targeting the shift from AI assistants that answer questions to agents that take actions inside core business systems—higher-stakes work requiring full stack ownership.