nvidia/nemotron-3-nano-omni
The most open, efficient, and accurate omni modal reasoning model for agentic AI.
🧠Reasoning🔧Tool calling
Specifications
Context window300K tokens
Max output—
API typechat
AddedMay 20, 2026
Model IDnebius/nvidia/nemotron-3-nano-omni
Benchmarks
Benchmarks haven't been published yet for this exact variant.
Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Nebius AI models overview.
Pricing
Input / 1M
$0.06
Output / 1M
$0.24
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0084
1M input + 100K output$0.0840
10M input + 1M output$0.84
Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.
Quickstart
Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to nebius/nvidia/nemotron-3-nano-omni.
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="nebius/nvidia/nemotron-3-nano-omni", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Other Nebius AI models
Frequently asked questions
How much does nvidia/nemotron-3-nano-omni cost?
nvidia/nemotron-3-nano-omni is priced at $0.06 per million input tokens and $0.24 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of nvidia/nemotron-3-nano-omni?
nvidia/nemotron-3-nano-omni has a context window of 300K tokens. That's roughly 400 words of input you can fit in a single prompt.
What can nvidia/nemotron-3-nano-omni do?
nvidia/nemotron-3-nano-omni supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use nvidia/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 "nebius/nvidia/nemotron-3-nano-omni". The Quickstart above shows Python, JavaScript and cURL snippets.
Access nvidia/nemotron-3-nano-omni through Requesty
One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.