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
- Released
- License
- NVIDIA Nemotron Open Model License
Hosted API price
Cheapest via Cloudflare · per 1M tokens
- Input
- $0.50 /1M
- Output
- $1.50 /1M
- Hosted by
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2 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.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
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$0.50 | $1.50 | $8.00 | Visit website |
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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 4× RTX 3090 at about $662 a month.
That costs the same as roughly 994M tokens a month on Cloudflare's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 68 GB |
|
$662 | 994M tokens /mo |
| 8-bit FP8 / INT8 | 122 GB |
|
$1,325 | 2B tokens /mo |
| 16-bit FP16 / BF16 | 242 GB |
|
$3,398 | 5B 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.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Nemotron 3 Super 120B A12B |
|---|---|---|---|---|---|---|
|
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$0.60 | $0.40 | $1.60 | 1M | Jun 2024 | −10% |
|
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$0.62 | 33K | ||||
|
|
$0.6667 | $0.30 | $2.50 | 1M | Jan 2025 | 0% |
|
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$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | 0% |
|
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$0.6667 | $0.50 | $1.50 | 256K | 0% | |
|
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$0.6667 | $0.50 | $1.50 | 1M | Jun 2025 | |
|
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$0.6683 | $0.36 | $2.21 | 1M | 0% | |
|
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$0.6833 | $0.50 | $1.60 | 131K | +3% | |
|
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$0.7564 | $0.4126 | $2.4754 | 262K | +13% | |
|
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$0.85 | 128K | ||||
|
|
$0.8667 | $0.60 | $2.20 | 205K | +30% |
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.
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. Cloudflare charges $0.50 in / $1.50 out per 1M tokens. The cheapest rental that fits is 4x RTX 3090 at $662 a month, which costs the same as about 994M tokens a month on that API.
How does Nemotron 3 Super 120B A12B compare with Nemotron 3.5 Super VL 120B A12B?
NVIDIA says Nemotron 3.5 Super VL starts from the Nemotron 3 Super base, adds a vision encoder for images, documents and video, and was further trained by distillation from Nemotron 3 Ultra and on software-engineering data. Same 1M-token context. Nemotron 3 Super 120B A12B costs 233% more per 1M input tokens and 200% more per 1M output tokens than Nemotron 3.5 Super VL 120B A12B, at each model's cheapest listed provider. It came out 7 months earlier, takes no image and video input, which Nemotron 3.5 Super VL 120B A12B does and is licensed under NVIDIA Nemotron Open Model License against OpenMDW 1.1.
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 $662 a month on the cheapest rental that fits.
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