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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
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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 location🇺🇸 US
Privacy policyNVIDIA Privacy Policy→

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 NVIDIA models overview.

Pricing

Prices updated July 26, 2026
Input / 1M
Free
Output / 1M
Free
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K outputFree
1M input + 100K outputFree
10M input + 1M outputFree

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 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

nemotron-3.5-content-safety
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nemotron-3-ultra-550b-a55b
1.0M ctxFree/1M
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nemotron-3-nano-30b-a3b
262K ctxFree/1M
Coding 14
nemotron-3-super-120b-a12b
1.0M ctxFree/1M
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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, 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.
Can I run nemotron-3-nano-omni-30b-a3b-reasoning through Requesty?
Yes. nemotron-3-nano-omni-30b-a3b-reasoning runs through Requesty's OpenAI-compatible API, served from NVIDIA. You do not host the model yourself: point base_url at Requesty, set the model to "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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