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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.

Coba Nemotron 3 Ultra Lihat paket
Dipercaya 790,000+ pengguna

262.144K tokens

Konteks

131,072 tokens

Output maks

Sedang

Kecepatan

Untuk apa Anda akan menggunakannya

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.

Tentang 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.

Cara menggunakan Nemotron 3 Ultra

Dari nol ke hasil pertama Anda dalam waktu kurang dari satu menit.

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

Tips untuk hasil yang lebih baik

  • 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 alternatif lainnya

Perbandingan jujur — di mana {model} unggul, dan di mana tidak.

vs Inkling

Lihat model

+Built specifically for orchestration and long agent runs

–Inkling is multimodal with a larger context

vs Kimi K3

Lihat model

+Open weights with published training recipes

–Kimi K3 is stronger on general chat

vs GLM 5.2

Lihat model

+Hybrid architecture built for sustained throughput

–GLM 5.2 preserves reasoning across turns and tool calls

Pertanyaan yang sering diajukan

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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, dan 50 lainnya.

Satu langganan mencakup semua model di NinjaChat, termasuk Nemotron 3 Ultra.

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Model lain untuk dijelajahi

Inkling

Thinking Machines Lab's open multimodal generalist

→

Kimi K3

Model unggulan open-weight terbaru Moonshot dengan vision native dan konteks 1M

→

GLM 5.2

Model andalan Z.ai untuk coding, agen, dan pekerjaan sistem

→
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