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Version 1.1.0
Nemotron 3 Ultra · Discover · Kaino
Discover/MODELS/Nemotron 3 Ultra
Nemotron 3 Ultra logo

MODELS

Nemotron 3 Ultra

by NVIDIA

nvidianemotron
Visit WebsiteDocumentationGitHub

Overview

NVIDIA Nemotron 3 Ultra is an open 550B-parameter MoE language model with 55B active parameters, 1M context, configurable reasoning, and tool-use support.

Details

NVIDIA Research presents Nemotron 3 Ultra as its most capable Nemotron 3 model, with 550B total parameters and 55B active parameters. NVIDIA’s launch blog describes it as an open MoE model for reasoning, orchestration, long-running agents, coding, tool use, and long-context work. The NVIDIA NIM model card lists text input/output, 1M context, configurable reasoning, tool use, supported languages, OpenMDW-1.1 license, and a June 4, 2026 release date. NVIDIA API documentation provides the nvidia/nemotron-3-ultra-550b-a55b chat-completions endpoint.

When to Use

Evaluate NVIDIA’s highest-capability Nemotron 3 model profile for large-scale reasoning and long-context workloads. Build agentic workflows that need reasoning orchestration coding tool use or long-running agent behavior as described by NVIDIA. Use an NVIDIA NIM/API-hosted model with official model card API reference deployment guide and downloadable checkpoint coverage.

Getting Started

  1. Read the NVIDIA Research Nemotron 3 Ultra page and technical report for the model overview.
  2. Review the NVIDIA Build/NIM model card for capabilities
  3. context length
  4. license
  5. and release metadata.
  6. Use the NVIDIA API reference for the nvidia/nemotron-3-ultra-550b-a55b chat-completions endpoint.
  7. Follow the NVIDIA NIM deployment guide for OpenAI-compatible and Anthropic-compatible APIs
  8. tool calling
  9. reasoning controls
  10. and agentic workflows.
  11. Check NVIDIA Developer Nemotron resources for the paper
  12. Hugging Face collection
  13. datasets
  14. and GitHub deployment cookbooks.

Key Features

  • •550B total parameters with 55B active parameters.
  • •Open MoE model
  • •according to NVIDIA’s launch blog.
  • •1M context listed on the NVIDIA NIM model card and API/catalog pages.
  • •Configurable reasoning and tool-use support listed on the NVIDIA NIM model card.
  • •NIM exposes OpenAI-compatible and Anthropic-compatible APIs for chat completions
  • •responses
  • •messages
  • •tool calling
  • •reasoning controls
  • •and agentic workflows
  • •according to NVIDIA Docs.
  • •Official NVIDIA resources include a research page
  • •launch blog
  • •NIM model card
  • •API reference
  • •technical report
  • •Hugging Face model card
  • •datasets
  • •and deployment cookbooks.

Capabilities

  • •text-input-output
  • •chat-completions
  • •long-context
  • •reasoning
  • •configurable-reasoning
  • •tool-use
  • •coding
  • •agent-orchestration
  • •openai-compatible-api
  • •anthropic-compatible-api
  • •model-checkpoints
  • •deployment-resources

Last updated Jul 23, 2026