Data as of October 25, 2026 · How the score is built
Released Apr 28, 2026256K contextNVIDIA model documentation
Nemotron 3 Nano Omni 30B A3B
Decision readingNemotron 3 Nano Omni 30B A3B scores 32.1 out of 100 and ranks #177 of 228. This profile shows 17 source-displayable benchmark rows; its strongest eligible category is Multimodal & Grounded at #52. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Released Apr 28, 2026 — see all recent releases
Voice benchmark evidence
VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
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
32.1/100
field median 50#177 of 228 ranked models
Public
#177of 228
Verified —
Price
Self-hosted; infrastructure cost varies
input median $0.75No comparable first-party hosted token rate
Speed
231tok/s
field median 96 tok/sFirst token 9.45 s
Context
256Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Multimodal & Grounded ranks #52. Particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Validate before choosing
17 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 17 displayable benchmark rows
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| CodingRank #135 of 153Percentile 12thWeight 20%2 benchmarksVerified | 15.6 | 2 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalRank #52 of 56Percentile 7thWeight 12%8 benchmarksVerified | 44.1 | 8 benchmarks | Verified | |||
| KnowledgeRank #145 of 187Percentile 23rdWeight 12%3 benchmarksVerified | 32.0 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #69 of 153Percentile 55thWeight 5%1 benchmarkVerified | 75.4 | 1 benchmark | Verified | |||
| MathWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified |
17 of 766 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic2/2 verified
- Coding2/2 verified
- ReasoningNot measured
- Multimodal8/8 verified
- Knowledge3/3 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- Math1/1 verified
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
- AgenticNot eligible
- Coding12th percentile
- ReasoningNot eligible
- Multimodal7th percentile
- Knowledge23rd percentile
- MultilingualNot eligible
- Instruction following55th percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#135/153
- ReasoningNot ranked
- Multimodal#52/56
- Knowledge#145/187
- MultilingualNot ranked
- Inst. Following#69/153
- MathNot ranked
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
| 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 | Weight10% ref. weight | 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 |
Agentic2 rows
| 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 |
Multimodal8 rows
| 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 |
| ParseBenchParseBench: document parsing for AI agents (LlamaIndex leaderboard) | Score48.51% | Versus best verified row Best verified: Claude Opus 5.5 · 78.89% | Gap30.4 behind | WeightDisplay only | |
| MMMUMassive Multi-discipline Multimodal Understanding | Score70.8% | Versus best verified row Best verified: Qwen3.5 397B · 85.0% | Gap14.2 behind | WeightDisplay only | Provider exact |
| MMLongBench-Doc | Score57.5% | Versus best verified row Best verified: Nemotron 3.5 Super VL 120B A12B · 62.8% | Gap5.3 behind | 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: Qwen3.5 397B · 83.7% | Gap11.5 behind | WeightDisplay only | Provider exact |
| AI2D_TESTAI2D test split | Score88.5% | Versus best verified row Best verified: Qwen3.5 397B · 93.9% | Gap5.4 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 |
Knowledge3 rows
| 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 | Weight6% ref. weight | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score72.2% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap23.8 behind | Weight3% ref. weight | 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 |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score74.2% | Versus best verified row Best verified: Flint · 89.2% | Gap15 behind | WeightWeighted 70% | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME 2025American Invitational Mathematics Examination 2025 | Score82.1% | Versus best verified row Best verified: GPT-5.2 · 100% | Gap17.9 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 17 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
30b-a3b
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
- Established
- 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
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 #177 of 228 on the public leaderboard with a score of 32.1/100. 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.
17 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Multimodal & Grounded at #52, while its lowest eligible position is Knowledge at #145. particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
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 parametersQuestions
How does Nemotron 3 Nano Omni 30B A3B perform overall in AI benchmarks?
Nemotron 3 Nano Omni 30B A3B ranks #177 out of 228 models on the public BenchAlign leaderboard, with a score of 32.1/100. Its evidence status is Estimated, and this profile shows 17 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 #145 out of 187 eligible models for knowledge and understanding, with a public category score of 32/100. 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 #135 out of 153 eligible models for coding and programming, with a public category score of 15.6/100. 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 has source-displayable benchmark coverage for agentic tool use and computer tasks, 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 multimodal and grounded tasks?
Nemotron 3 Nano Omni 30B A3B ranks #52 out of 56 eligible models for multimodal and grounded tasks, with a public category score of 44.1/100. 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 #69 out of 153 eligible models for instruction following, with a public category score of 75.4/100. 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 30 source-displayable rows. 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.