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Nemotron 3 Nano Omni 30B A3B

CurrentReleased Apr 28, 2026Open WeightReasoning256K contextNVIDIA model documentation

Released Apr 28, 2026 see all recent releases

Decision reading
Nemotron 3 Nano Omni 30B A3B scores 40.6 out of 100 and ranks #168 of 232. This profile shows 16 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #42. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.

Data as of September 10, 2026 · How the score is built

Strongest published evidence

Multimodal & Grounded ranks #42. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Validate before choosing

16 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Voice benchmark evidence

VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

Owner rank
#3 of 43
Overall score
89.39
Architecture
vision audio llm
Access
open
IF-Eval
88.66
AdvBench
100.00
1 owner-published configuration mapped · snapshot 2026-09-11

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

40.6/100

field median 56.2

#168 of 232 ranked models

Price

Self-hosted; infrastructure cost varies

input median $1

No comparable first-party hosted token rate

Speed

327tok/s

field median 86.5 tok/s

First token 7.25 s

Context

256Ktokens

field median 256,000

Reported for this model; direct source link not stored

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Nemotron 3 Nano Omni 30B A3B category percentile values

  • Agentic41st percentile
  • Coding23rd percentile
  • ReasoningNot eligible
  • Knowledge22nd percentile
  • MathNot eligible
  • MultilingualNot eligible
  • Multimodal13th percentile
  • Instruction following52nd percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#90/152
  2. Coding#116/151
  3. ReasoningNot ranked
  4. Knowledge#143/183
  5. MathNot ranked
  6. MultilingualNot ranked
  7. Multimodal#42/48
  8. Inst. Following#59/123
Top decileTop quartileMid-fieldNot eligible

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic2/2 verified
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. Knowledge3/3 verified
  5. Math1/1 verified
  6. MultilingualNot measured
  7. Multimodal7/7 verified
  8. Inst. Following1/1 verified
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
256K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #90 of 152Percentile 41stWeight 22%2 benchmarksVerified44.3
CodingRank #116 of 151Percentile 23rdWeight 20%2 benchmarksVerified40.2
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank #143 of 183Percentile 22ndWeight 12%3 benchmarksVerified38.7
MathWeight 5%1 benchmarkVerifiedScore pending
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank #42 of 48Percentile 13thWeight 12%7 benchmarksVerified39.3
Inst. FollowingRank #59 of 123Percentile 52ndWeight 5%1 benchmarkVerified75.9

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
SciCodeScientific Code BenchmarkScore32%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap28.1 behindWeightWeighted 10%
LiveCodeBench v5Score63.2%Versus best verified row

Best verified: Ling 3.0 Flash · 82.8%

Gap19.6 behindWeightDisplay only
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
OSWorldScore47.4%Versus best verified row

Best verified: Claude Opus 4.5 · 66.3%

Gap18.9 behindWeightDisplay only
τ²-bench resultsτ²-Bench Tool-Agent-User EvaluationScore45.3%Versus best verified row

Best verified: GPT-5.4 · 98.9%

Gap53.6 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
MMLU-ProMassive Multitask Language Understanding ProfessionalScore77.3%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap12.3 behindWeightWeighted 20%
GPQAGraduate-Level Google-Proof Q&AScore72.2%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap23.8 behindWeightWeighted 7%
GPQA-DGPQA DiamondScore72.2%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap23.8 behindWeightDisplay only
Math1 row
Math benchmark values, best verified comparison, weight, and source status
AIME 2025American Invitational Mathematics Examination 2025Score82.1%Versus best verified row

Best verified: MAI-Thinking-1 · 97%

Gap14.9 behindWeightDisplay only
Multimodal7 rows
Multimodal benchmark values, best verified comparison, weight, and source status
CharXivCharXiv ReasoningScore76.3%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap17.3 behindWeightWeighted 20%
MMMUMassive Multi-discipline Multimodal UnderstandingScore70.8%Versus best verified row

Best verified: Qwen3.6-27B · 82.9%

Gap12.1 behindWeightDisplay only
MMLongBench-DocScore57.5%Versus best verified row

Best verified: Nemotron 3 Nano Omni 30B A3B · 57.5%

GapBest verifiedWeightDisplay only
ScreenSpot ProScore57.8%Versus best verified row

Best verified: GPT-6 Astra · 92.7%

Gap34.9 behindWeightDisplay only
Video-MME (w/o subtitle)Video-MME without subtitleScore72.2%Versus best verified row

Best verified: Qwen3.6-35B-A3B · 82.5%

Gap10.3 behindWeightDisplay only
AI2D_TESTAI2D test splitScore88.5%Versus best verified row

Best verified: Qwen3.6-35B-A3B · 92.7%

Gap4.2 behindWeightDisplay only
RefCOCO (avg)RefCOCO averageScore90.5%Versus best verified row

Best verified: Qwen3.6-27B · 92.5%

Gap2 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore74.2%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap10.8 behindWeightWeighted 70%

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 28, 2026 · you are here

    Nemotron 3 Nano Omni 30B A3B

    Score 40.6 · Price not listed

30b-a3b

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Nemotron 3 Nano Omni 30B A3B ranks #168 of 232 on the public leaderboard with a score of 40.6/100. It does not yet have enough sourced coverage for a verified position.

Nemotron 3 Nano Omni 30B A3B is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

16 of 434 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multimodal & Grounded at #42, while its lowest eligible position is Knowledge at #143. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Radar

Nemotron 3 Nano Omni 30B A3B release history

Full release history

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Frequently asked questions

How does Nemotron 3 Nano Omni 30B A3B perform overall in AI benchmarks?

Nemotron 3 Nano Omni 30B A3B ranks #168 out of 232 models on the public BenchAlign leaderboard, with a score of 40.6/100. Its evidence status is Estimated, and this profile shows 16 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Nemotron 3 Nano Omni 30B A3B good for knowledge and understanding?

Nemotron 3 Nano Omni 30B A3B ranks #143 out of 183 eligible models for knowledge and understanding, with a public category score of 38.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Nano Omni 30B A3B good for coding and programming?

Nemotron 3 Nano Omni 30B A3B ranks #116 out of 151 eligible models for coding and programming, with a public category score of 40.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Nano Omni 30B A3B good for mathematics?

Nemotron 3 Nano Omni 30B A3B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Nemotron 3 Nano Omni 30B A3B good for agentic tool use and computer tasks?

Nemotron 3 Nano Omni 30B A3B ranks #90 out of 152 eligible models for agentic tool use and computer tasks, with a public category score of 44.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Nano Omni 30B A3B good for multimodal and grounded tasks?

Nemotron 3 Nano Omni 30B A3B ranks #42 out of 48 eligible models for multimodal and grounded tasks, with a public category score of 39.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Nano Omni 30B A3B good for instruction following?

Nemotron 3 Nano Omni 30B A3B ranks #59 out of 123 eligible models for instruction following, with a public category score of 75.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Nano Omni 30B A3B open source?

Nemotron 3 Nano Omni 30B A3B is an open-weight model from NVIDIA. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does Nemotron 3 Nano Omni 30B A3B have full benchmark coverage on BenchLM?

No. Nemotron 3 Nano Omni 30B A3B currently has 29 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Nemotron 3 Nano Omni 30B A3B?

Nemotron 3 Nano Omni 30B A3B has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Compare Nemotron 3 Nano Omni 30B A3B with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

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