NVIDIALanguage model

Nemotron 3 Nano Omni 30B A3B Reasoning

Nemotron 3 Nano Omni 30B A3B Reasoning has no overall index value yet because there are too few independent benchmark results.

Intelligencenot ranked yet

n/aOverall indexhigher is better

SpeedRank 13 of 101

178Tokens per secondhigher is better

Priceno API price

n/aper 1M tokenslower is better

ContextRank 77 of 103

256Ktokens at once≈ 380 A4 pages

PopularityRank 228 of 785

43out of 100-4 vs. last month

based on search, usage and attention

Summary

At 178 tokens per second it writes faster than a typical model (87).

Nemotron 3 Nano Omni 30B A3B Reasoning adds native audio input to NVIDIA's Nano line. The model handles text, images, video, and audio in one reasoning checkpoint. It activates 3 billion of 30 billion parameters.

The official model card uses custom multimodal classes and custom code. That limits serving stacks built only around standard text models. NVIDIA publishes BF16, FP8, and NVFP4 variants.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 94 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

CritPt v2: Overall (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: disputed
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/8c748e53-61ae-48b8-af8d-eb8298b1e9db/nemotron-3-nano-omni-30b-a3b/nemotron-3-nano-omni-30b-a3b. Source model name: Nemotron 3 Nano Omni 30B A3B Reasoning. Provider reported by source: NVIDIA. Model snapshot: Nemotron 3 Nano Omni 30B A3B Reasoning. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 0.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context: This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.

Source Artificial Analysis

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 63.1972789115646
Score: 63.1972789115646
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/8c748e53-61ae-48b8-af8d-eb8298b1e9db/nemotron-3-nano-omni-30b-a3b/nemotron-3-nano-omni-30b-a3b. Source model name: Nemotron 3 Nano Omni 30B A3B Reasoning. Provider reported by source: NVIDIA. Model snapshot: Nemotron 3 Nano Omni 30B A3B Reasoning. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 63.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 63.1972789115646
Score: 63.1972789115646
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-07
Methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/8c748e53-61ae-48b8-af8d-eb8298b1e9db/nemotron-3-nano-omni-30b-a3b/nemotron-3-nano-omni-30b-a3b. Source model name: Nemotron 3 Nano Omni 30B A3B Reasoning. Provider reported by source: NVIDIA. Model snapshot: Nemotron 3 Nano Omni 30B A3B Reasoning. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 63.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.

Source Artificial Analysis

MMMU-Pro: Overall (Show measurement, test conditions, and source)

Source value: 53.179190751445105
Score: 53.179190751445105
Metric: pass@1 accuracy
Unit: %
Benchmark version: AA cohort: 1,730 questions
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/8c748e53-61ae-48b8-af8d-eb8298b1e9db/nemotron-3-nano-omni-30b-a3b/nemotron-3-nano-omni-30b-a3b. Source model name: Nemotron 3 Nano Omni 30B A3B Reasoning. Provider reported by source: NVIDIA. Model snapshot: Nemotron 3 Nano Omni 30B A3B Reasoning. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 53.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
Context: The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

MMMU-Pro: Overall (Show measurement, test conditions, and source)

Source value: 53.179190751445105
Score: 53.179190751445105
Metric: pass@1 accuracy
Unit: %
Benchmark version: AA cohort: 1,730 questions
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-07
Methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/8c748e53-61ae-48b8-af8d-eb8298b1e9db/nemotron-3-nano-omni-30b-a3b/nemotron-3-nano-omni-30b-a3b. Source model name: Nemotron 3 Nano Omni 30B A3B Reasoning. Provider reported by source: NVIDIA. Model snapshot: Nemotron 3 Nano Omni 30B A3B Reasoning. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 53.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Nemotron 3 Nano Omni 30B A3B Reasoning (release nemotron-3-nano-omni-30b-a3b, row nemotron-3-nano-omni-30b-a3b, UUID 8c748e53-61ae-48b8-af8d-eb8298b1e9db, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
Context: The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.

Source Artificial Analysis

DailyOmni, reasoning off (Show measurement, test conditions, and source)

Source value: 74.5
Score: 74.5
Metric: accuracy
Unit: %
Benchmark version: not stated
Direction: Higher is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model, reasoning off. The report describes 1,197 multiple-choice questions across six tasks.
Context: The benchmark corpus size is not a model-specific scored denominator; no confidence interval is reported.

Source NVIDIA Nemotron 3 Nano Omni technical report

DailyOmni, reasoning on (Show measurement, test conditions, and source)

Source value: 74.1
Score: 74.1
Metric: accuracy
Unit: %
Benchmark version: not stated
Direction: Higher is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model, reasoning on. The report describes 1,197 multiple-choice questions across six tasks.
Context: The benchmark corpus size is not a model-specific scored denominator; no confidence interval is reported.

Source NVIDIA Nemotron 3 Nano Omni technical report

WorldSense, reasoning off (Show measurement, test conditions, and source)

Source value: 55.2
Score: 55.2
Metric: accuracy
Unit: %
Benchmark version: not stated
Direction: Higher is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model, reasoning off. The report describes 3,172 multiple-choice questions across 26 tasks.
Context: The benchmark corpus size is not a model-specific scored denominator; no confidence interval is reported.

Source NVIDIA Nemotron 3 Nano Omni technical report

OpenASR (AMI) (Show measurement, test conditions, and source)

Source value: 11.09
Score: 11.09
Metric: WER (%)
Unit: %
Benchmark version: English subset
Direction: Lower is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model; reasoning off; reasoning off; word error rate.
Context: The report gives no model-specific scored denominator or confidence interval.

Source NVIDIA Nemotron 3 Nano Omni technical report

OpenASR (Earnings22) (Show measurement, test conditions, and source)

Source value: 11.27
Score: 11.27
Metric: WER (%)
Unit: %
Benchmark version: English subset
Direction: Lower is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model; reasoning off; reasoning off; word error rate.
Context: The report gives no model-specific scored denominator or confidence interval.

Source NVIDIA Nemotron 3 Nano Omni technical report

OpenASR (GigaSpeech) (Show measurement, test conditions, and source)

Source value: 9.66
Score: 9.66
Metric: WER (%)
Unit: %
Benchmark version: English subset
Direction: Lower is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model; reasoning off; reasoning off; word error rate.
Context: The report gives no model-specific scored denominator or confidence interval.

Source NVIDIA Nemotron 3 Nano Omni technical report

OpenASR (LibriSpeech clean) (Show measurement, test conditions, and source)

Source value: 1.57
Score: 1.57
Metric: WER (%)
Unit: %
Benchmark version: English subset, clean
Direction: Lower is better
Source type: vendor-reported
Evaluator: NVIDIA Nemotron 3 Nano Omni technical report
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact 30B-A3B model; reasoning off; reasoning off; word error rate.
Context: The report gives no model-specific scored denominator or confidence interval.

Source NVIDIA Nemotron 3 Nano Omni technical report

Page 1 of 8

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

GPT-6 Astra83

Claude Haiku 5.577

GPT-6 Sol73

GPT-573

DeepSeek V4.1 Flash 101769

Kimi K367

MiniCPM-V 4.7 35B-A3B63

GPT-6.1 Sol63

Claude Opus 563

Qwen 3.8 Flash62

Nemotron 3 Nano Omni 30B A3B Reasoning43

DeepSeek V4.1 Flash 1017

MiniCPM-V 4.7 35B-A3B

GPT-6.1 Sol

Claude Opus 5

Qwen 3.8 Flash

Nemotron 3 Nano Omni 30B…

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 7, 2026

Nemotron 3 Nano Omni 30B A3B ReasoningAgnes 3.0 Flash 43Gemini 3.5 Flash-Lite 43Hy3 preview 43Nex-N2.5-Pro 43

Method changes in the timeline, a jump at these points is no market event:

1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

Similar models

More models of the same kind as Nemotron 3 Nano Omni 30B A3B Reasoning, chosen by model line, developer, size, price and release date.

All specifications

Architecture

Parameters: 30 billion; Source: Parameters
Active parameters: 3 billion; Source: Active parameters

Input and output

Context window: 256,000 tokens; Source: Context window
Maximum output: 65,536 tokens; Source: Maximum output
Inputs: Text, Image, Video, Audio; Source: Inputs
Outputs: Text; Source: Outputs
Reasoning: Yes; Source: Reasoning
Tool calling: Yes; Source: Tool calling

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking: Unknown; no source
Watermarking technique: Not known; no source

Licence and access

Weights: Open weights; Source: Weights
Access: API; Source: Access
License: NVIDIA Open Model License; Source: License

Frequently asked questions about Nemotron 3 Nano Omni 30B A3B Reasoning

How large is the context window of Nemotron 3 Nano Omni 30B A3B Reasoning?

256,000 tokens. That is how much text Nemotron 3 Nano Omni 30B A3B Reasoning reads at once, about 380 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better

Kimi K2.6262K

Qwen 3.8 27B262K

Kimi K2.7 Code262K

Kimi K2.5262K

Nemotron 3 Ultra262K

Kimi K2 Thinking262K

Nemotron 3 Nano Omni 30B A3B ReasoningRank 77 of 103256K

How fast is Nemotron 3 Nano Omni 30B A3B Reasoning?

178 tokens per second. That is faster than a typical model at 87.

Measured by Artificial Analysis on Nov 6, 2026. AA 3.0.0, including time to first token, averaged across available workloads and five days.

SpeedTokens per second · higher is better

Gemini 3 Flash Preview191

Gemini 3.5 Flash184

Gemini 3.6 Flash182

Nemotron 3 Nano Omni 30B A3B ReasoningRank 13 of 101178

DeepSeek-V4.1-Flash176

DeepSeek V4.1 Flash 1017172

Qwen 3.7 Max165

Can I run Nemotron 3 Nano Omni 30B A3B Reasoning locally?

Yes, the weights are open.

Stated by NVIDIA

Open weights: yes
License: NVIDIA Open Model License
Parameters: 30B
active per token: 3B

Sources and data date

Show all 22 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	3	0	3

Without vendor claims and historical or disputed results; those stay labelled in the single values.

Type	Evidence and data date
Speed	Median across serving providers, Reasoning enabled; effort unspecified. AA 3.0.0, including time to first token, averaged across available workloads and five days. Retrieved November 6, 2026. Source: Artificial Analysis · Speed (Artificial Analysis)Speed measurement methodology
Input	Documented modalities. Retrieved October 27, 2026. Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026)
Output	Documented modalities. Retrieved October 27, 2026. Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026)
Research status	Research date October 15, 2026. 10 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published	modality-benchmark-evaluation-mode Note The card does not give score units, dataset splits, or reasoning-mode settings for the primary cross-model table; quantized non-thinking BF16 values are not mixed with it.
Unresolved	throughput sample size and interval Note The cited inference-efficiency passage reports the setup and point value but no N or confidence interval.
Additional source	Artificial Analysis (retrieved November 2, 2026)
Additional source	Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 7, 2026)
Additional source	Artificial Analysis (retrieved November 2, 2026; November 7, 2026)1 2
Additional source	NVIDIA Nemotron 3 Nano Omni model card (retrieved October 15, 2026; October 17, 2026) · NVIDIA Nemotron 3 Nano Omni BF16 model card · Editorial description reviewed October 2, 2026
Additional source	NVIDIA Nemotron 3 Nano Omni technical report (retrieved October 17, 2026; October 19, 2026)
Additional source	Hugging Face community evaluation submission for ParseBench (retrieved October 17, 2026)
Additional source	Stockmark et al., Stockmark-Nemotron-3-Nano-Omni-JapanDocReader, arXiv:2608.06758 v1 (retrieved October 17, 2026)
Additional source	Model metadata (retrieved October 17, 2026)1 2 3 4
Additional source	Nemotron 3 Nano Omni research paper · Editorial description reviewed October 2, 2026
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0