Project AURIONAI Use-Cases Research & Innovation
NVIDIA
LLMfamily

Nemotron 3

NVIDIA's Nemotron 3 family of hybrid Mamba-Transformer MoE models, partially open on data.

Accuracy and throughput charts for the Nemotron 3 models.
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released4 Dec 2025
Opennessopen source
Runs onnot in the notes
Statusactive

Benchmark Results

vendor-reportedmaintainer-runindependent
Nemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B Reasoningindependent
23
rank 36 of 117, Artificial Analysis open-weights model pageartificialanalysis.ai, artificialanalysis.ai
Nemotron 3 Ultra 550B A55BReasoningindependent
23
AA leaderboard, 205 current models10 Oct 2026 artificialanalysis.ai
Nemotron 3 Ultra 550B A55BReasoningindependent
23
03060

Score in index. Higher is better.

rank 36 of 117, AA open-weights view, 117 models10 Oct 2026 artificialanalysis.ai
GPQAknowledge and reasoning
87
050100

Score in %. Higher is better.

MMLU-Proknowledge and reasoning
86.8
050100

Score in %. Higher is better.

RULERlong context
Nemotron 3 Ultra 550B A55Bat 1M contextvendor-reported
94.7
050100

Score in %. Higher is better.

SEA-HELMSoutheast Asian and Indonesian
Nemotron 3 Supermaintainer-run
70.78 95% CI [-1.22, +1.20]
rank 8, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps18 Sep 2026 leaderboard.sea-lion.ai
Nemotron 3 Nano 30B-A3BCheckpoint NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
65.36 95% CI [-1.30, +1.30]
SEA-HELM leaderboard, 58 models, Indonesian (ID)18 Sep 2026 leaderboard.sea-lion.ai
64.34 95% CI [-1.36, +1.37]
SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps18 Sep 2026 leaderboard.sea-lion.ai
Nemotron 3 Supermaintainer-run
49.3 95% CI [-0.51, +0.53]
SEA-HELM SEA average, open-weight models18 Sep 2026 leaderboard.sea-lion.ai
Nemotron 3 Nano 30B-A3BCheckpoint NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
46.89 95% CI [-0.50, +0.55]
SEA-HELM leaderboard, 58 models, SEA average18 Sep 2026 leaderboard.sea-lion.ai
46.06 95% CI [-0.54, +0.54]
04080

Score in score. Higher is better.

SEA-HELM SEA average, open-weight models18 Sep 2026 leaderboard.sea-lion.ai
Nemotron 3 Ultra 550B A55Bthird-partyindependent
70.7
050100

Score in %. Higher is better.

Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

NVIDIANemotron 3 Ultra 550B A55B belongs to this familyLLM4 Jun 2026550B
NVIDIANemotron 3 Nano Omni belongs to this familymultimodal LLMApr 2026
NVIDIANemotron 3 Nano 4B belongs to this familyLLMMar 20264B
NVIDIANemotron 3 Super belongs to this familyLLM2026120B
NVIDIANemotron 3.5 Lightning 30B-A3B belongs to this familyLLM202630B
NVIDIANemotron 3 Nano 30B-A3B belongs to this familyLLMDec 202530B
NVIDIANemotron 3 Ultra Base belongs to this familyLLM
NVIDIANemotron 3 Ultra GenRM belongs to this familyLLM
NVIDIANemotron 3 Ultra NVFP4 belongs to this familyLLM
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
NVIDIA
Family
not in the notes
Released
4 Dec 2025 sourcesregistry date
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
hybrid
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
Nano, Super and Ultra sizes.
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open source
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. huggingface.co/nvidia https://huggingface.co/nvidia
  2. huggingface.co/nvidia/models?search=nemotron-3 https://huggingface.co/nvidia/models?search=nemotron-3
  3. NVIDIA Nemotron nvidia.com https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/
  4. huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Nano-30B-... https://huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
  5. huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Super-120... https://huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16
  6. huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Ultra-550... https://huggingface.co/api/models/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
  7. huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
  8. huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Nemotron 3", https://aurion.semai.id/models/nvidia-nemotron-3/, records of October 2026.