nemotron-3-ultra

nemotron-3-ultra

13K Downloads Updated 3 weeks ago

NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows.

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tools thinking cloud

Usage

high

Context

256K tokens

Size

550B parameters

CLI cURL Python JavaScript

Documentation Documentation

ollama run nemotron-3-ultra:cloud

curl http://localhost:11434/api/chat \ -d '{ "model": "nemotron-3-ultra:cloud", "messages": [{"role": "user", "content": "Hello!"}] }'

from ollama import chat

response = chat( model='nemotron-3-ultra:cloud', messages=[{'role': 'user', 'content': 'Hello!'}], ) print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({ model: 'nemotron-3-ultra:cloud', messages: [{role: 'user', content: 'Hello!'}], }) console.log(response.message.content)

Applications

Claude Code `ollama launch claude --model nemotron-3-ultra:cloud`

Codex App `ollama launch codex-app --model nemotron-3-ultra:cloud`

OpenClaw `ollama launch openclaw --model nemotron-3-ultra:cloud`

Hermes Agent `ollama launch hermes --model nemotron-3-ultra:cloud`

Codex `ollama launch codex --model nemotron-3-ultra:cloud`

OpenCode `ollama launch opencode --model nemotron-3-ultra:cloud`

Models

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Name

1 model

Size / Usage

Context

Input

nemotron-3-ultra:cloud High Usage · 256K context window · Text · 3 weeks ago

nemotron-3-ultra:cloud

256K

Text

Readme

NVIDIA Nemotron 3 Ultra is a 550 billion parameter (55B active) open model from NVIDIA built for long-running, agentic workflows with fast and affordable performance across hundreds of tool calls.

Model highlights

• Built for long-running agents: Tuned for agent orchestration, coding agents, deep research, and complex enterprise workflows that run across hundreds of steps.
• 1M token context: Keep entire codebases, long tool histories, and research trails in context without losing the thread.
• Frontier reasoning, high efficiency: 550B total parameters with only 55B active per token, and optimized for NVFP4, NVIDIA’s 4-bit floating point format that packs the model into less memory and runs faster.

Benchmarks

Nemotron 3 Ultra leads on accuracy across agent productivity, instruction following, and long-context tasks, while delivering leading throughput—saving up to 30% on costs compared to other leading open models.

Figure 1: Nemotron 3 Ultra leads among open models on agentic benchmarks for agent productivity, coding, and instruction following.

Reference

• NVIDIA Nemotron 3 Ultra blog

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