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NVIDIA

Chat with Nemotron 3 Ultra online

NVIDIA's open frontier model, built for agents that orchestrate other agents rather than answer once.

Prueba Nemotron 3 Ultra Ver planes
Con la confianza de 790,000+ usuarios

262.144K tokens

Contexto

131,072 tokens

Salida máxima

Medio

Velocidad

Para qué lo usarás

Agent orchestration

Coordinating multi-step work across tools and stages.

Deep research

Long chains of reading, checking and synthesising.

Coding agents

Jobs that keep running rather than answering once.

Enterprise tasks

Work that does not fit in a single prompt.

Prompts to steal

Tuned to this model — click any line to copy.

Acerca de Nemotron 3 Ultra

Nemotron 3 Ultra is NVIDIA's open frontier model, released on 4 June 2026 after being announced at Computex. It is a 550-billion-parameter mixture-of-experts model with about 55 billion parameters active per token, and unusually it is not a plain transformer: NVIDIA built it on a hybrid Transformer-Mamba architecture, which is part of how it sustains high throughput on long inputs.

NVIDIA is explicit about what it is for. This is a reasoning and orchestration model, aimed at long-running agentic work — an agent that coordinates other agents, a coding agent that keeps going, deep research that spans many steps, and enterprise tasks that do not fit in a single prompt. The design includes multi-token prediction layers with shared weights, which improves the training signal and enables native speculative decoding, so it produces tokens quickly for a model of its size.

It is genuinely open. The weights ship under the OpenMDW 1.1 licence for commercial and non-commercial use, and NVIDIA published training recipes and a multi-trillion-token pre-training dataset alongside them, which is a level of disclosure most labs at this scale do not offer. NVIDIA documents a pre-training data cutoff of September 2025 with post-training data running to May 2026.

On NinjaChat it serves about 256K tokens of context with up to 128K tokens of output — the shape our providers run — so you can hand it a long research task or a multi-stage plan and let it work.

Cómo usar Nemotron 3 Ultra

De cero a tu primer resultado en menos de un minuto.

01

Create a NinjaChat account and choose a plan

02

Open chat and pick Nemotron 3 Ultra from the model list

03

Give it the whole objective, not one step of it

04

Let it plan the stages before it starts executing

Consejos para mejores resultados

  • Describe the end state; it is built to plan backwards from it
  • Good for jobs with many tool calls in sequence
  • Ask for the plan first on anything long
  • Use a Flash-class model when you just want a quick answer

Nemotron 3 Ultra vs las alternativas

Comparativas honestas — dónde gana {model} y dónde no.

vs Inkling

Ver modelo

+Built specifically for orchestration and long agent runs

–Inkling is multimodal with a larger context

vs Kimi K3

Ver modelo

+Open weights with published training recipes

–Kimi K3 is stronger on general chat

vs GLM 5.2

Ver modelo

+Hybrid architecture built for sustained throughput

–GLM 5.2 preserves reasoning across turns and tool calls

Preguntas frecuentes

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A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
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Nemotron 3 Ultra, y 50 más.

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Thinking Machines Lab's open multimodal generalist

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El nuevo buque insignia de pesos abiertos de Moonshot, con visión nativa y contexto de 1M

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GLM 5.2

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