Nemotron 3 Nano 30B A3B

The smallest of NVIDIA's Nemotron 3 line, a 30B hybrid Mamba-2, MoE and attention model activating 3.5B parameters per token under the NVIDIA Nemotron Open Model License, sized for local and edge use.

Params: 31.6B, 3.6B active
Context: 262K tokens
Cutoff: Jun 2025
Released: Dec 2025
License: NVIDIA Nemotron Open Model License

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Hosted API price

Cheapest via Geodd · per 1M tokens

USD

Input: $0.05 /1M
Output: $0.20 /1M
Hosted by: 4 providers

Hosted API pricing

How we price

Order

Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.

Prices

Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.

Cost

Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.

Transparency and funding

Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.

Every provider serving Nemotron 3 Nano 30B A3B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Nemotron 3 Nano 30B A3B, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Geodd	$0.05	$0.20	$0.90	Visit website
Novita	$0.05	$0.20	$0.90	Visit website
Lyceum	$0.06	$0.24	$1.08	Visit website
Nvidia Creator	Open weights, no hosted price			Visit website

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

Nemotron 3 Nano 30B A3B needs about 20 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 2× RTX 3060 at about $101 a month.

That costs the same as roughly 1B tokens a month on Geodd's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

What it costs to self-host Nemotron 3 Nano 30B A3B at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 262K context)	Cost /mo	Break-even vs API
4-bit INT4 / FP4	20 GB21 GB	2× RTX 3060	$101$101	1B tokens /mo1B tokens /mo
8-bit FP8 / INT8	34 GB35 GB	4× RTX 3060	$202$202	3B tokens /mo3B tokens /mo
16-bit FP16 / BF16	65 GB67 GB	8× RTX 3060	$403$403	5B tokens /mo5B tokens /mo

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.

Similarly priced models

The models nearest Nemotron 3 Nano 30B A3B by blended rate, each at its own cheapest provider.

Models priced nearest Nemotron 3 Nano 30B A3B per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Nemotron 3 Nano 30B A3B
GPT-OSS-20B OpenAI	$0.0483	$0.03	$0.14	131K	Jun 2024	−36%
Llama 3.2 1B Meta	$0.056	$0.027	$0.201	128K	Dec 2023	−25%
Command R7B Cohere	$0.0583	$0.04	$0.15	128K		−22%
Gemma 3 12B Instruct Google Cloud	$0.0583	$0.05	$0.10	128K	Aug 2024	−22%
GPT-OSS-120B OpenAI	$0.0628	$0.039	$0.182	131K	Jun 2024	−16%
Nemotron 3 Nano 30B A3B This model Nvidia	$0.075	$0.05	$0.20	262K	Jun 2025
Qwen3-Coder-30B-A3B Alibaba Cloud	$0.0917	$0.06	$0.25	262K		+22%
Llama 3.2 3B Meta	$0.0983	$0.051	$0.335	128K	Dec 2023	+31%
Qwen3-30B-A3B FP8 Alibaba Cloud	$0.0983	$0.051	$0.335	33K		+31%
Ministral 3 3B Mistral	$0.10	$0.10	$0.10	256K		+33%
GLM-5.3-Flash Z.AI	$0.1042	$0.075	$0.25	1M		+39%

USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

Packet·ai

B200 @ $3.75/h on demand

No contract, no spot interrupts, no cluster minimums

Full root SSH, web dashboard, CI/CD ready

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Capabilities

What Nemotron 3 Nano 30B A3B accepts and can do, as published by Nvidia.

Text Accepts and generates natural-language text.
Reasoning Thinks before it answers, always on or as a switchable mode.
Function calling Connect to external tools, APIs, and systems.
Structured output Return responses in structured formats like JSON.

Common questions

What is Nemotron 3 Nano 30B A3B good for?

Agent systems, chatbots and RAG in English and code, on local and edge hardware. Open weights under the NVIDIA Nemotron Open Model License, on a single consumer GPU.

When is Nemotron 3 Nano 30B A3B not a good fit?

Image input: it is text only. The NVIDIA Nemotron Open Model License has its own terms rather than Apache 2.0 or MIT, and no maximum output is published.

What is the cheapest way to run Nemotron 3 Nano 30B A3B?

Hosted, unless you push serious volume. Geodd charges $0.05 in / $0.20 out per 1M tokens. The cheapest rental that fits is 2x RTX 3060 at $101 a month, which costs the same as about 1B tokens a month on that API.

Can I self-host Nemotron 3 Nano 30B A3B?

Yes. The weights are released under the NVIDIA Nemotron Open Model License. At 4-bit it needs about 20 GB of GPU memory, which starts at roughly $101 a month on the cheapest rental that fits.