Capability
52.3/100
field median 57.7
#110 of 218 ranked models
Model profile · NVIDIA
Nemotron 3.5 Lightning 30B A3B NVFP4
Released Aug 11, 2026 — see all recent releases
Nemotron 3.5 Lightning 30B A3B NVFP4 scores 52.3 out of 100 and ranks #110 of 218. This profile shows 13 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #18. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Data as of August 11, 2026 · How the score is built
Strongest published evidence
Instruction Following ranks #18. A well-rounded choice across a range of tasks.
Validate before choosing
13 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 93 tok/s
Time to first token not measured
Context
1Mtokens
field median 201,500
Maximum output length is tracked separately
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 3.5 Lightning 30B A3B NVFP4 category percentile values
- Agentic63rd percentile
- Coding57th percentile
- ReasoningNot eligible
- KnowledgeNot eligible
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction following54th percentile
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#49/129
- Coding#59/135
- ReasoningNot ranked
- KnowledgeNot ranked
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. Following#18/38
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.
- Agentic4/4 verified
- Coding4/4 verified
- ReasoningNot measured
- Knowledge4/4 verified
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- 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 publishedNVIDIA Nemotron 3.5 Lightning model card
- Context window
- 1MNVIDIA Nemotron 3.5 Lightning model card
- 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
- Open NVFP4 checkpoint for self-hosted inference; NVIDIA documents deployments on DGX Spark, H100, and other supported NVIDIA hardware.
- 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 recordNVIDIA Nemotron 3.5 Lightning model card
- 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 parametersCategory 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 |
|---|---|---|---|---|---|---|
| AgenticRank #49 of 129Percentile 63rdWeight 22%4 benchmarksVerified | 51.1 | #49 of 129 | 63rd | 22% | 4 benchmarks | Verified |
| CodingRank #59 of 135Percentile 57thWeight 20%4 benchmarksVerified | 51.6 | #59 of 135 | 57th | 20% | 4 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank Not rankedWeight 12%4 benchmarksVerified | 73.1 | Not ranked | Not available | 12% | 4 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #18 of 38Percentile 54thWeight 5%1 benchmarkVerified | 84.5 | #18 of 38 | 54th | 5% | 1 benchmark | Verified |
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.
Coding4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score52.8% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap43.2 behind | WeightWeighted 16% | Provider exact |
| SciCodeScientific Code Benchmark | Score31.4% | Versus best verified row Best verified: Sakana Fugu · 60.1% | Gap28.7 behind | WeightWeighted 16% | Provider exact |
| SWE Multilingual | Score36.5% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap53 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.0 | Score23.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap68.4 behind | WeightDisplay only | Provider exact |
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score23.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap68.4 behind | WeightWeighted 38% | Provider exact |
| BrowseComp | Score36.8% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap55.4 behind | WeightWeighted 28% | Provider exact |
| PinchBench | Score83.4% | Versus best verified row Best verified: Pokee-Isaac 28B · 95.7% | Gap12.2 behind | WeightDisplay only | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score9.5% | Versus best verified row Best verified: Mistral Medium 3.5 128B · 91.4% | Gap81.9 behind | WeightDisplay only | Provider exact |
Knowledge4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score81.6% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap8 behind | WeightWeighted 30% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score75.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap19.9 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score75.6% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap19.9 behind | WeightDisplay only | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score10.5% | Versus best verified row Best verified: Claude Mythos 5 · 59% | Gap48.5 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score72.9% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap12.1 behind | WeightWeighted 65% | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 11, 2026 · you are here
Nemotron 3.5 Lightning 30B A3B NVFP4Score 26.9 · Price not listed
30b-a3b-nvfp4 · NVFP4
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 3.5 Lightning 30B A3B NVFP4 ranks #110 of 218 on the public leaderboard with a score of 52.31/100. It does not yet have enough sourced coverage for a verified position.
Nemotron 3.5 Lightning 30B A3B NVFP4 is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Open NVFP4 checkpoint for self-hosted inference; NVIDIA documents deployments on DGX Spark, H100, and other supported NVIDIA hardware.
13 of 381 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #18, while its lowest eligible position is Coding at #59. a well-rounded choice across a range of tasks.
Radar
Full release historyNemotron 3.5 Lightning 30B A3B NVFP4 release history
Nemotron 3.5 Lightning 30B A3B NVFP4 released
NVIDIA · Model release
Source confirmed
Frequently asked questions
How does Nemotron 3.5 Lightning 30B A3B NVFP4 perform overall in AI benchmarks?
Nemotron 3.5 Lightning 30B A3B NVFP4 ranks #110 out of 218 models on the public BenchAlign leaderboard, with a score of 52.31/100. Its evidence status is Estimated, and this profile shows 13 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Nemotron 3.5 Lightning 30B A3B NVFP4 good for knowledge and understanding?
Nemotron 3.5 Lightning 30B A3B NVFP4 has source-displayable benchmark coverage for knowledge and understanding, 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 3.5 Lightning 30B A3B NVFP4 good for coding and programming?
Nemotron 3.5 Lightning 30B A3B NVFP4 ranks #59 out of 135 eligible models for coding and programming, with a public category score of 51.6/100. 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 3.5 Lightning 30B A3B NVFP4 good for agentic tool use and computer tasks?
Nemotron 3.5 Lightning 30B A3B NVFP4 ranks #49 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 51.1/100. 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 3.5 Lightning 30B A3B NVFP4 good for instruction following?
Nemotron 3.5 Lightning 30B A3B NVFP4 ranks #18 out of 38 eligible models for instruction following, with a public category score of 84.5/100. 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 3.5 Lightning 30B A3B NVFP4 open source?
Nemotron 3.5 Lightning 30B A3B NVFP4 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 3.5 Lightning 30B A3B NVFP4 have full benchmark coverage on BenchLM?
No. Nemotron 3.5 Lightning 30B A3B NVFP4 currently has 26 source-displayable rows across 381 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 3.5 Lightning 30B A3B NVFP4?
Nemotron 3.5 Lightning 30B A3B NVFP4 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Last updated August 11, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch Nemotron 3.5 Lightning 30B A3B NVFP4 in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.