Nemotron 3 Super 120B A12B

A 120B LatentMoE hybrid from NVIDIA activating 12B per token, combining Mamba-2, MoE and attention layers with Multi-Token Prediction, under the NVIDIA Nemotron Open Model License.

Params: 120B, 12B active
Context: 1M tokens
Cutoff: Jun 2025
Released: Mar 2026
License: NVIDIA Nemotron Open Model License

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Hosted API price

Cheapest via Geodd · per 1M tokens

USD

Input: $0.09 /1M
Output: $0.50 /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 Super 120B A12B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Nemotron 3 Super 120B A12B, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cached input /1M	Cost at 10M in + 2M out	Link
Geodd Cheapest	$0.09	$0.50		$1.90	Visit website
DigitalOcean	$0.30	$0.65	$0.06	$4.30	Visit website
Cloudflare	$0.50	$1.50		$8.00	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 Super 120B A12B needs about 68 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3060 at about $403 a month.

That costs the same as roughly 3B 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 Super 120B A12B 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 1M context)	Cost /mo	Break-even vs API
4-bit INT4 / FP4	68 GB76 GB	8× RTX 3060	$403$403	3B tokens /mo3B tokens /mo
8-bit FP8 / INT8	122 GB130 GB	8× RTX 3090	$1,152$1,152	7B tokens /mo7B tokens /mo
16-bit FP16 / BF16	242 GB250 GB	8× RTX A6000	$3,226$3,226	20B tokens /mo20B 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 Super 120B A12B by blended rate, each at its own cheapest provider.

Models priced nearest Nemotron 3 Super 120B A12B per 1M tokens, each at its cheapest provider
Model	Blended /1M	Input /1M	Output /1M	Context	Cutoff	vs Nemotron 3 Super 120B A12B
Gemini 2.5 Flash-Lite Google Cloud	$0.15	$0.10	$0.40	1M	Jan 2025	−5%
GPT-4.1 Nano OpenAI	$0.15	$0.10	$0.40	1M	Jun 2024	−5%
Ministral 3 8B Mistral	$0.15	$0.15	$0.15	256K		−5%
Qwen3.5-Flash Alibaba Cloud	$0.15	$0.10	$0.40	1M		−5%
Llama 3.2 11B Vision Meta	$0.1535	$0.049	$0.676	128K	Dec 2023	−3%
Nemotron 3 Super 120B A12B This model Nvidia	$0.1583	$0.09	$0.50	1M	Jun 2025
MiMo-V2.6-Flash Xiaomi MiMo	$0.1633	$0.14	$0.28	1M		+3%
GPT-6 Luna OpenAI	$0.1667	$0.10	$0.50	1M	May 2026	+5%
Gemma 4 31B Google Cloud	$0.17	$0.13	$0.37	256K	Jan 2025	+7%
Qwen3-235B-A22B Instruct (2507) Alibaba Cloud	$0.1717	$0.09	$0.58	262K		+8%
Llama 3.3 70B Meta	$0.175	$0.13	$0.40	128K	Dec 2023	+11%

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.

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Capabilities

What Nemotron 3 Super 120B A12B 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 Super 120B A12B good for?

Agent and high-volume work such as IT ticket automation. Open weights under the NVIDIA Nemotron Open Model License, servable on a single high-memory GPU.

When is Nemotron 3 Super 120B A12B not a good fit?

Image input: it is text only. Memory follows the full 120B parameters, not the 12B active, and no maximum output is published.

What is the cheapest way to run Nemotron 3 Super 120B A12B?

Hosted, unless you push serious volume. Geodd charges $0.09 in / $0.50 out per 1M tokens. The cheapest rental that fits is 8x RTX 3060 at $403 a month, which costs the same as about 3B tokens a month on that API.

Can I self-host Nemotron 3 Super 120B A12B?

Yes. The weights are released under the NVIDIA Nemotron Open Model License. At 4-bit it needs about 68 GB of GPU memory, which starts at roughly $403 a month on the cheapest rental that fits.