Capability
40.6/100
field median 56.2
#168 of 232 ranked models
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Data as of September 10, 2026 · How the score is built
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Multimodal & Grounded ranks #42. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
16 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
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
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
The dashed outline is median of 6 nearest peers.
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
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 parametersScores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #90 of 152Percentile 41stWeight 22%2 benchmarksVerified | 44.3 | #90 of 152 | 41st | 22% | 2 benchmarks | Verified |
| CodingRank #116 of 151Percentile 23rdWeight 20%2 benchmarksVerified | 40.2 | #116 of 151 | 23rd | 20% | 2 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #143 of 183Percentile 22ndWeight 12%3 benchmarksVerified | 38.7 | #143 of 183 | 22nd | 12% | 3 benchmarks | Verified |
| MathWeight 5%1 benchmarkVerified | Score pending | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #42 of 48Percentile 13thWeight 12%7 benchmarksVerified | 39.3 | #42 of 48 | 13th | 12% | 7 benchmarks | Verified |
| Inst. FollowingRank #59 of 123Percentile 52ndWeight 5%1 benchmarkVerified | 75.9 | #59 of 123 | 52nd | 5% | 1 benchmark | Verified |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SciCodeScientific Code Benchmark | Score32% | Versus best verified row Best verified: Sakana Fugu · 60.1% | Gap28.1 behind | WeightWeighted 10% | Provider exact |
| LiveCodeBench v5 | Score63.2% | Versus best verified row Best verified: Ling 3.0 Flash · 82.8% | Gap19.6 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld | Score47.4% | Versus best verified row Best verified: Claude Opus 4.5 · 66.3% | Gap18.9 behind | WeightDisplay only | Provider exact |
| τ²-bench resultsτ²-Bench Tool-Agent-User Evaluation | Score45.3% | Versus best verified row Best verified: GPT-5.4 · 98.9% | Gap53.6 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score77.3% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap12.3 behind | WeightWeighted 20% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score72.2% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap23.8 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score72.2% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap23.8 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME 2025American Invitational Mathematics Examination 2025 | Score82.1% | Versus best verified row Best verified: MAI-Thinking-1 · 97% | Gap14.9 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXivCharXiv Reasoning | Score76.3% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap17.3 behind | WeightWeighted 20% | Provider exact |
| MMMUMassive Multi-discipline Multimodal Understanding | Score70.8% | Versus best verified row Best verified: Qwen3.6-27B · 82.9% | Gap12.1 behind | WeightDisplay only | Provider exact |
| MMLongBench-Doc | Score57.5% | Versus best verified row Best verified: Nemotron 3 Nano Omni 30B A3B · 57.5% | GapBest verified | WeightDisplay only | Provider exact |
| ScreenSpot Pro | Score57.8% | Versus best verified row Best verified: GPT-6 Astra · 92.7% | Gap34.9 behind | WeightDisplay only | Provider exact |
| Video-MME (w/o subtitle)Video-MME without subtitle | Score72.2% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 82.5% | Gap10.3 behind | WeightDisplay only | Provider exact |
| AI2D_TESTAI2D test split | Score88.5% | Versus best verified row Best verified: Qwen3.6-35B-A3B · 92.7% | Gap4.2 behind | WeightDisplay only | Provider exact |
| RefCOCO (avg)RefCOCO average | Score90.5% | Versus best verified row Best verified: Qwen3.6-27B · 92.5% | Gap2 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score74.2% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap10.8 behind | WeightWeighted 70% | Provider exact |
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.
Apr 28, 2026 · you are here
Nemotron 3 Nano Omni 30B A3BScore 40.6 · Price not listed
30b-a3b
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.
NVIDIA · Model release
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Related resources
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
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