nemotron-3-nano-omni
NVIDIA/Open weights/1 provider
The most open, efficient, and accurate omni modal reasoning model for agentic AI.
Which id to call
nemotron-3-nano-omniRequesty routes this id across every provider serving nemotron-3-nano-omni, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
$0.06
Nebius AI
Context
300K
tokens
Endpoints
1
1 region
Regions
1
chat
Capabilities 3/8
1 endpoint / 1 region
Providers serving nemotron-3-nano-omni
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Nebius AI | EU | 300K | $0.06 | $0.24 | $0.06 | zdr |
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-nano-omniRequesty routes this id across every provider serving nemotron-3-nano-omni, 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.
123456789101112131415from 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-nano-omni", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
6
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Reference
nemotron-3-nano-omni questions
Which providers serve nemotron-3-nano-omni?
nemotron-3-nano-omni is available from 1 provider through Requesty: Nebius AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does nemotron-3-nano-omni cost?
Pricing starts at $0.06 per million input tokens and $0.24 per million output tokens on Nebius 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-nano-omni open weights?
Yes. nemotron-3-nano-omni 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-nano-omni?
nemotron-3-nano-omni supports up to 300K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use nemotron-3-nano-omni 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-nano-omni" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call nemotron-3-nano-omni by its managed id or a provider id?
Use the managed id, "nemotron-3-nano-omni". 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. There is also an EU-only id, "nemotron-3-nano-omni@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "nebius/nvidia/nemotron-3-nano-omni" only when you need one specific deployment and want no failover.
Route nemotron-3-nano-omni through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.