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nemotron-3-nano-omni-30b-a3b-reasoning

NVIDIA Nemotron 3 Nano Omni 30B-A3B (reasoning) is a multimodal MoE model unifying video, audio, image, and text understanding for enterprise Q&A, summarization, transcription, OCR, GUI automation, and document intelligence. Supports chain-of-thought reasoning, tool calling, and up to 256k context.

VisionReasoningTool calling

Specifications

Context window131K tokens
Max output20K tokens
API typechat
AddedJun 9, 2026
Model IDnvidia/nemotron-3-nano-omni-30b-a3b-reasoning
Data retentionYes
Used for trainingYes
Provider locationπŸ‡ΊπŸ‡Έ US

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model β€” check the base model page or the NVIDIA models overview.

Pricing

Input / 1M
Free
Output / 1M
Free
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K outputFree
1M input + 100K outputFree
10M input + 1M outputFree

Requesty charges exactly what the upstream provider charges β€” 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 nvidia/nemotron-3-nano-omni-30b-a3b-reasoning.

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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-nano-omni-30b-a3b-reasoning", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other NVIDIA models

Frequently asked questions

How much does nemotron-3-nano-omni-30b-a3b-reasoning cost?
nemotron-3-nano-omni-30b-a3b-reasoning is priced at Free per million input tokens and Free per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of nemotron-3-nano-omni-30b-a3b-reasoning?
nemotron-3-nano-omni-30b-a3b-reasoning has a context window of 131K tokens, with a maximum output of 20K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
What can nemotron-3-nano-omni-30b-a3b-reasoning do?
nemotron-3-nano-omni-30b-a3b-reasoning supports vision input, tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use nemotron-3-nano-omni-30b-a3b-reasoning 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-nano-omni-30b-a3b-reasoning". The Quickstart above shows Python, JavaScript and cURL snippets.

Access nemotron-3-nano-omni-30b-a3b-reasoning through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.