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nvidia-nemotron-3-ultra

NVIDIA/Open weights/1 provider

NVIDIA Nemotron 3 Ultra is NVIDIA's strongest open-weights reasoning model, positioned near GPT-5.4 Mini (xhigh) and ahead of DeepSeek V4-Flash and Qwen3.5-397B-A17B.More

Which id to call

nvidia-nemotron-3-ultra

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

From /1M input

$0.37

Doubleword

Context

262K

131K output

Endpoints

2

1 region

Price spread

1.4x

2 endpoints

Capabilities 1/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

2 endpoints / 1 region

Providers serving nvidia-nemotron-3-ultra

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

Providers serving nvidia-nemotron-3-ultra, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1DoublewordGlobal262K$0.37$1.87no-train
2DoublewordGlobal262K$0.50$2.50no-train

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.

nvidia-nemotron-3-ultra

Requesty routes this id across every provider serving nvidia-nemotron-3-ultra, 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="nvidia-nemotron-3-ultra", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Coding Indexcoding
49.3%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
86.7%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
22.9%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

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More from NVIDIA

Reference

nvidia-nemotron-3-ultra questions

Which providers serve nvidia-nemotron-3-ultra?

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

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

Pricing starts at $0.37 per million input tokens and $1.87 per million output tokens on Doubleword, 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 nvidia-nemotron-3-ultra open weights?

Yes. nvidia-nemotron-3-ultra 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 nvidia-nemotron-3-ultra?

nvidia-nemotron-3-ultra supports up to 262K tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use nvidia-nemotron-3-ultra 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 "nvidia-nemotron-3-ultra" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

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

Use the managed id, "nvidia-nemotron-3-ultra". 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 "doubleword/nvidia-nemotron-3-ultra:flex" only when you need one specific deployment and want no failover.

Route nvidia-nemotron-3-ultra through one endpoint

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

Benchmark rankings