Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows.

However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents, receive information, and then pass history, outputs, and reasoning steps back into the model continuously. As tasks run longer, this constant communication increases costs and the risk of goal drift.

Developers can solve this using a system of models: frontier reasoning models for orchestration and complex planning, and efficient models for high-volume execution, validation, and tool calling.

NVIDIA is releasing NVIDIA Nemotron 3 Ultra, an open model built to help long-running agents complete tasks faster while lowering cost.

Nemotron 3 Ultra for agent orchestration

Nemotron 3 Ultra is a 550B-parameter Mixture-of-Experts model with 55B active parameters, built for frontier reasoning and orchestration in agentic…