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nemotron-3-ultra-nvfp4

NVIDIA/Open weights/1 provider

Nemotron-3-Ultra-550B-A55B-NVFP4 is a frontier-scale large language model (LLM) trained by NVIDIA, designed to deliver strong agentic, reasoning, and conversational capabilities. It is optimized for the most demanding workloads, including complex multi-step agents, long-context analysis, and high-accuracy reasoning over code, math, and science. The model employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers. Like the Super model, the Ultra model incorporates Multi-Token Prediction (MTP) layers for faster text generation and improved quality, and it is trained using an NVFP4 pre-training recipe to maximize compute efficiency. The model has 55B active parameters and 550B parameters in total.More

Which id to call

nemotron-3-ultra-nvfp4

Requesty routes this id across every provider serving nemotron-3-ultra-nvfp4, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.60

Fireworks AI

Context

262K

262K output

Endpoints

1

1 region

Regions

1

chat

Capabilities 3/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving nemotron-3-ultra-nvfp4

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving nemotron-3-ultra-nvfp4, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Fireworks AIGlobal262K$0.60$2.40$0.12zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

nemotron-3-ultra-nvfp4

Requesty routes this id across every provider serving nemotron-3-ultra-nvfp4, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="nemotron-3-ultra-nvfp4", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

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More from NVIDIA

Reference

nemotron-3-ultra-nvfp4 questions

Which providers serve nemotron-3-ultra-nvfp4?

nemotron-3-ultra-nvfp4 is available from 1 provider through Requesty: Fireworks AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does nemotron-3-ultra-nvfp4 cost?

Pricing starts at $0.60 per million input tokens and $2.40 per million output tokens on Fireworks AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is nemotron-3-ultra-nvfp4 open weights?

Yes. nemotron-3-ultra-nvfp4 is an open-weights model from NVIDIA, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of nemotron-3-ultra-nvfp4?

nemotron-3-ultra-nvfp4 supports up to 262K tokens of context, with up to 262K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use nemotron-3-ultra-nvfp4 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nemotron-3-ultra-nvfp4" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call nemotron-3-ultra-nvfp4 by its managed id or a provider id?

Use the managed id, "nemotron-3-ultra-nvfp4". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "fireworks/nemotron-3-ultra-nvfp4" only when you need one specific deployment and want no failover.

Route nemotron-3-ultra-nvfp4 through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

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