Model
NVIDIA Nemotron 3 Super 120B A12B
Recorded as suitable for chat, rag, reasoning, agentic, coding.
- Source
- Model registry API
- Verified
- 19 Sep 2026
- Confidence
- High
01What this is
- Author
- nvidia
- Family
- Nemotron 3
- Task
- text-generation
- Hugging Face
- nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
- OpenRouter
- nvidia/nemotron-3-super-120b-a12b
- Also known as
- Nemotron 3 Super, nemotron-3-super-120b, nemotron super
02Registry facts
- LicenceFACT
other
- FreshRetrieved 19 Sep 2026
- ParametersFACT
123.6B
- FreshRetrieved 19 Sep 2026
- Context lengthFACT
not returned by the registry
- Evidence not verified
- Downloads (30 days)FACT
1,275,676
- FreshRetrieved 19 Sep 2026
- LikesFACT
426
- FreshRetrieved 19 Sep 2026
- GatedFACT
no
- FreshRetrieved 19 Sep 2026
Model
- downloadsFACT
1275676
- Verification may be outdatedRetrieved 19 Sep 2026
- gatedFACT
false
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · DeepInfraFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · DekaLLMFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- likesFACT
426
- Verification may be outdatedRetrieved 19 Sep 2026
- model licenseFACT
other
- Verification may be outdatedRetrieved 19 Sep 2026
- parameter countFACT
123611012096
- Verification may be outdatedRetrieved 19 Sep 2026
Pricing
- hosted price completion per m · DeepInfraFACT
0.4000
- AgeingRetrieved 19 Sep 2026
- hosted price completion per m · DekaLLMFACT
0.4500
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · DeepInfraFACT
0.0850
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · DekaLLMFACT
0.0800
- AgeingRetrieved 19 Sep 2026
Other
- available on platform · awsFACT
aws
Evidence not verified — the quoted phrase was not found in the fetched document.
- Evidence not verified
- last modifiedFACT
2026-08-25T15:48:50.000Z
- Verification may be outdatedRetrieved 19 Sep 2026
- libraryFACT
transformers
- AgeingRetrieved 19 Sep 2026
03VRAM by quantisation
Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 123.6B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).
| Quantisation | Weights | Total |
|---|---|---|
| bf16bf16 is two bytes per weight, the same arithmetic as fp16. | 247.22 GB | 301.59 GB |
| fp8 | 123.61 GB | 159.44 GB |
| int4 | 61.81 GB | 88.36 GB |
What this estimate assumes
- Weights: 123.6B parameters × 2 bytes per parameter (fp16) = 247.22 GB.
- No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
- KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 GB, sized for every user holding a full context at once.
- Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 39.34 GB.
- GB means 10⁹ bytes, matching how GPU memory is advertised.
- KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
- Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
- "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.
04Hardware profiles
No hardware profile was sized for this answer.
05Hosted providers
- Prompt (per million tokens, USD)FACT
0.08
Source: openrouter
- FreshRetrieved 19 Sep 2026
- Completion (per million tokens, USD)FACT
0.44999999999999996
- FreshRetrieved 19 Sep 2026
| Provider | Context |
|---|---|
| DekaLLM | 262,144 |
| DeepInfra | 262,144 |
06Deployment stacks
No published deployment stack names this model yet.
07Evidence
- 01–06Tier 4official repository / model cardOpenRouter
OpenRouter endpoints — nvidia/nemotron-3-super-120b-a12b
https://openrouter.ai/api/v1/models/nvidia/nemotron-3-super-120b-a12b/endpoints
Verification may be outdatedRetrieved 19 Sep 2026sha256:f1bf3a70be906 records · · · · ·
- 07–13Tier 4official repository / model cardHugging Face Hub
Hugging Face model card data — nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
https://huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Verification may be outdatedRetrieved 19 Sep 2026sha256:f6434399787e7 records · · · · · ·
Improve this page
Sign in to contribute
From the field
0 deployments · 0 questions
Nobody has reported deploying this here yet, and no question has been opened against this page. Both appear once a reviewer accepts them.