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Nemotron 3 Nano 30B A3B

NVIDIAfamily · Nemotron 3huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

Open in Graph
data quality68

Updated 4 h ago · first seen 11 Sept 2026

model_01M294WW73MBCT953NW5VQH309

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
nvidia-nemotron-3-nano-30b-a3bnvidia-nemotron-3-nano-30b-a3b-reasoningnvidia/nemotron-3-nano-30b-a3bIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable under Other; 7 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

Licence: Other (unclassified licence) (unknown · stated as “other”)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 8 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Active parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 10 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Benchmarks15

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningonconditions differ across rows → partially comparable2−52.3 ptvs gpt-5.6-solobs. 11 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoningonconditions differ across rows → partially comparable1non-primary groupobs. 11 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable1non-primary groupobs. 11 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−58.2 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable1−32.5 ptvs Claude Fable 5.1obs. 11 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable2−44.5vs Claude Fable 5.1obs. 11 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−12.2 ptvs Grok 4.3obs. 11 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−47.7 ptvs Claude Fable 5.1obs. 11 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamondreasoningonconditions differ across rows → partially comparable2−20.6 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 15 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing1

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MStatusObservedSource
NVIDIA NIM / build.nvidia.comcheapest outputnvidia/nemotron-3-nano-30b-a3b262.1Kout 235.9K$0.03active4 h agosince 11 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of Nemotron 3 Nano 30B A3B$0$0.05$0.10$0.15$0.20$0.25Sept 26Sept 26Sept 26NVIDIA NIM / build.nvidia.com: first observed → $0.20 · 11 Sept 2026
  • NVIDIA NIM / build.nvidia.com
  • NVIDIA NIM / build.nvidia.comfirst observed $0.2011 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Nemotron 3 Nano 30B A3B$0$0.02$0.04$0.06Sept 26Sept 26Sept 26NVIDIA NIM / build.nvidia.com: first observed → $0.05 · 11 Sept 2026
  • NVIDIA NIM / build.nvidia.com
  • NVIDIA NIM / build.nvidia.comfirst observed $0.0511 Sept 2026

Hardware fit37

Estimated

36 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—18.7 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—18.7 GB est.Yes
Apple M2 Ultra4bit—18.7 GB est.Yes
Apple M1 Ultra4bit—18.7 GB est.Yes
Apple M3 Max4bit—18.7 GB est.Yes
Apple M4 Max4bit—18.7 GB est.Yes
Mac Studio (Apple M5 Max)4bit—18.7 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—18.7 GB est.Yes
Apple M2 Max4bit—18.7 GB est.Yes
Apple M1 Max4bit—18.7 GB est.Yes
Apple M4 Pro4bit—18.7 GB est.Yes
Mac mini (Apple M5 Pro)4bit—18.7 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—18.7 GB est.Yes
Apple M3 Pro4bit—18.7 GB est.Yes
Apple M1 Pro4bit—18.7 GB est.Yes
Apple M2 Pro4bit—18.7 GB est.Yes
Apple M44bit—18.7 GB est.Yes
iMac (Apple M4)4bit—18.7 GB est.Yes
Mac mini (Apple M6)4bit—18.7 GB est.Yes
MacBook Air (Apple M5)4bit—18.7 GB est.Yes
MacBook Pro (Apple M5)4bit—18.7 GB est.Yes
Apple M24bit—18.7 GB est.Yes
Apple M34bit—18.7 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB18.7 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB18.7 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB18.7 GB est.Yes
NVIDIA A100 80GB4bit80 GB18.7 GB est.Yes
NVIDIA H100 SXM4bit80 GB18.7 GB est.Yes
NVIDIA H100 NVL4bit94 GB18.7 GB est.Yes
NVIDIA DGX Spark4bit128 GB18.7 GB est.Yes
NVIDIA H2004bit141 GB18.7 GB est.Yes
NVIDIA H200 NVL4bit141 GB18.7 GB est.Yes
NVIDIA B2004bit180 GB18.7 GB est.Yes
AMD Instinct MI300X4bit192 GB18.7 GB est.Yes
AMD Instinct MI325X4bit256 GB18.7 GB est.Yes
NVIDIA DGX B2004bit1,440 GB18.7 GB est.Yes
Apple M14bit—18.7 GB est.No
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Context window2 changes

11 Sept 2026→11 Sept 2026→12 Sept 2026current

Licensefirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Parametersfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Papers2

Datasets16

Timeline4

Full timeline →
  • Property changedModelNemotron 3 Nano 30B A3BNVIDIA

    Nemotron 3 Nano 30B A3B: reasoning changed from false to true

    ReasoningNo→Yesopenrouter
    openrouter.ai
  • Context window changedModelNemotron 3 Nano 30B A3BNVIDIA

    Nemotron 3 Nano 30B A3B: context length changed from 1000000 to 262144

    Context window1M tokens→262.1K tokensopenrouter
    openrouter.ai
  • Release date changedModelNemotron 3 Nano 30B A3BNVIDIA

    Nemotron 3 Nano 30B A3B: release date changed from 2025-12-04 to 2025-12-14

    Release date4 Dec 2025→14 Dec 2025openrouter
    openrouter.ai
  • Release date changedModelNemotron 3 Nano 30B A3BNVIDIA

    Nemotron 3 Nano 30B A3B: release date changed from 2025-12-14 to 2025-12-04

    Release date14 Dec 2025→4 Dec 2025huggingface
    huggingface.co

Change history46

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Nemotron 3 Nano 30B A3B was not yet in AI Atlas on 12 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
46 claims · 37 properties

Release daterelease_date6

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
4 Dec 2025 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
14 Dec 2025 → supersededOpenRouter public model & pricing listingT2mediumdeterministic
4 Dec 2025 → supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
14 Dec 2025 → supersededOpenRouter public model & pricing listingT2mediumdeterministic
4 Dec 2025 → supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
14 Dec 2025 → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
other → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
NemotronHForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
31.6B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Active parametersactive_parameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
3B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length3

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
262.1K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
1M tokens → supersededArtificial AnalysisT2mediumdeterministic
262.1K tokens → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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ValueValid from → toStatusSourceConfidenceExtractor
235.9K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Languageslanguages1

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ValueValid from → toStatusSourceConfidenceExtractor
en, es, fr, de, ja, it → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
63.2 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
804,613 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
820 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Datasetsdatasets1

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ValueValid from → toStatusSourceConfidenceExtractor
nvidia/Nemotron-Pretraining-Code-v1, nvidia/Nemotron-CC-v2, nvidia/Nemotron-Pretraining-SFT-v1, nvidia/Nemotron-CC-Math-v1, nvidia/Nemotron-Pretraining-Code-v2, nvidia/Nemotron-Pretraining-Specialized-v1, nvidia/Nemotron-CC-v2.1, nvidia/Nemotron-CC-Code-v1, nvidia/Nemotron-Pretraining-Dataset-sample, nvidia/Nemotron-Competitive-Programming-v1, nvidia/Nemotron-Math-v2, nvidia/Nemotron-Agentic-v1, nvidia/Nemotron-Math-Proofs-v1, nvidia/Nemotron-Instruction-Following-Chat-v1, nvidia/Nemotron-Science-v1, nvidia/Nemotron-3-Nano-RL-Training-Blend → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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ValueValid from → toStatusSourceConfidenceExtractor
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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ValueValid from → toStatusSourceConfidenceExtractor
featherless-ai → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2026-08-24T23:50:04+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License namelicense_name1

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ValueValid from → toStatusSourceConfidenceExtractor
nvidia-nemotron-open-model-license → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/ → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

Claim history for Aa median output tokens per second
ValueValid from → toStatusSourceConfidenceExtractor
151.2 → currentcurrentArtificial AnalysisT2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
9,342,427 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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ValueValid from → toStatusSourceConfidenceExtractor
nemotron_h → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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ValueValid from → toStatusSourceConfidenceExtractor
nvidia/nemotron-3-nano-30b-a3b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Openrouter listed atopenrouter_listed_at1

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ValueValid from → toStatusSourceConfidenceExtractor
14 Dec 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning3

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
No → supersededArtificial AnalysisT2mediumdeterministic
Yes → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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ValueValid from → toStatusSourceConfidenceExtractor
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, nemotron_h, text-generation, nvidia, pytorch, custom_code, en, es, fr, de, ja, it → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

40

Source tiers

T240

Freshest observation

4 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16/raw/main/README.md model_cardT2· Quality secondary7 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 model_pageT2· Quality secondary7 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=nvidia&p=0&sort=downloads listingT2· Quality secondary8 h ago6
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary12 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (68/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →