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NVIDIA Nemotron 3.5 Lightning 30B A3B

NVIDIAfamily · Nemotron 3.5

Open in Graph
data quality60

Updated 3 h ago · first seen 11 Sept 2026

model_01M294AJ5ZXA18FDC1S5FQ4ZDX

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
1 quantization0 official · 1 third-partySeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
3
API aliases
fireworks/nemotron-lightning-3p5-30b-a3bnemotron-3-5-lightningnvidia/nemotron-3.5-lightningIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weightsweights downloadable; 7 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

  • Training code

  • Training data

  • Dataset

  • Commercial use

  • Redistribution

  • Derivatives

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 10 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−31.0 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable2−39.7vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−48.6 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable1non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond1−21.9 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 12 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MStatusObservedSource
NVIDIA NIM / build.nvidia.comcheapest outputnvidia/nemotron-3.5-lightning:free1Mout 65.5Kactive4 h agosince 11 Sept 2026openrouter.aiT2
OpenRouternvidia/nemotron-3.5-lightning:free1Mout 65.5Kactive4 min agosince 12 Sept 2026openrouter.aiT2
Fireworks AIfireworks/nemotron-lightning-3p5-30b-a3b$0.01active6 h agosince 11 Sept 2026app.fireworks.aiT1
NVIDIA NIM / build.nvidia.comnvidia/nemotron-3.5-lightning262.1Kout 131.1K$0.04active4 h agosince 11 Sept 2026openrouter.aiT2
OpenRouternvidia/nemotron-3.5-lightning262.1Kout 131.1K$0.04active4 min agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 3 providers

Output price history of NVIDIA Nemotron 3.5 Lightning 30B A3B$0$0.05$0.10$0.15$0.20$0.25Sept 26Sept 26Sept 26Sept 26Sept 26Fireworks AI: first observed → $0.20 · 11 Sept 2026NVIDIA NIM / build.nvidia.com: first observed → $0.20 · 11 Sept 2026NVIDIA NIM / build.nvidia.com: $0.20 → $0 · 11 Sept 2026OpenRouter: first observed → $0.20 · 12 Sept 2026OpenRouter: $0.20 → $0 · 12 Sept 2026
  • Fireworks AI
  • NVIDIA NIM / build.nvidia.com
  • OpenRouter
  • OpenRouter$0.20$012 Sept 2026
  • OpenRouterfirst observed $0.2012 Sept 2026
  • NVIDIA NIM / build.nvidia.com$0.20$011 Sept 2026
  • NVIDIA NIM / build.nvidia.comfirst observed $0.2011 Sept 2026
  • Fireworks AIfirst observed $0.2011 Sept 2026

Input price · USD / 1M tokens 3 providers

Input price history of NVIDIA Nemotron 3.5 Lightning 30B A3B$0$0.02$0.04$0.06$0.08$0.10Sept 26Sept 26Sept 26Sept 26Sept 26Fireworks AI: first observed → $0.05 · 11 Sept 2026NVIDIA NIM / build.nvidia.com: first observed → $0.08 · 11 Sept 2026NVIDIA NIM / build.nvidia.com: $0.08 → $0 · 11 Sept 2026OpenRouter: first observed → $0.08 · 12 Sept 2026OpenRouter: $0.08 → $0 · 12 Sept 2026
  • Fireworks AI
  • NVIDIA NIM / build.nvidia.com
  • OpenRouter
  • OpenRouter$0.08$012 Sept 2026
  • OpenRouterfirst observed $0.0812 Sept 2026
  • NVIDIA NIM / build.nvidia.com$0.08$011 Sept 2026
  • NVIDIA NIM / build.nvidia.comfirst observed $0.0811 Sept 2026
  • Fireworks AIfirst observed $0.0511 Sept 2026
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedNVIDIA Nemotron 3.5 Lightning…this modelNVIDIA Nemotron 3.5 Lightning 30B A3B — this model

    Versions & Artifacts1

    Version history

    Context window2 changes

    11 Sept 202611 Sept 202612 Sept 2026current

    Max outputfirst observation only

    11 Sept 2026current

    Opennessfirst observation only

    11 Sept 2026current

    Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

    Artifacts 1

    quantization 1

    Change history22

    Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

    Viewing AI Atlas as of 5 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

    Back to today →

    NVIDIA Nemotron 3.5 Lightning 30B A3B was not yet in AI Atlas on 5 Sept 2026

    First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
    22 claims · 19 properties

    Release daterelease_date1

    Claim history for Release date
    ValueValid from → toStatusSourceConfidenceExtractor
    11 Aug 2026currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Opennessopenness1

    Claim history for Openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weightscurrentcurrentArtificial AnalysisT2mediumdeterministic

    Context windowcontext_length3

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    262.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
    1M tokenssupersededArtificial AnalysisT2mediumdeterministic
    262.1K tokenssupersededOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    131.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

    Claim history for Modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Input modalitiesmodalities_input1

    Claim history for Input modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Output modalitiesmodalities_output1

    Claim history for Output modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa context windowaa_context_window1

    Claim history for Aa context window
    ValueValid from → toStatusSourceConfidenceExtractor
    1,000,000 tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

    Aa opennessaa_openness1

    Claim history for Aa openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weightscurrentcurrentArtificial AnalysisT2mediumdeterministic

    Descriptiondescription1

    Claim history for Description
    ValueValid from → toStatusSourceConfidenceExtractor
    NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Aa median output tokens per secondmetric.aa_median_output_tokens_per_second2

    Claim history for Aa median output tokens per second
    ValueValid from → toStatusSourceConfidenceExtractor
    284.6currentcurrentArtificial AnalysisT2mediumdeterministic
    283.4supersededArtificial AnalysisT2mediumdeterministic

    Openrouter idopenrouter_id1

    Claim history for Openrouter id
    ValueValid from → toStatusSourceConfidenceExtractor
    nvidia/nemotron-3.5-lightningcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Openrouter listed atopenrouter_listed_at1

    Claim history for Openrouter listed at
    ValueValid from → toStatusSourceConfidenceExtractor
    11 Aug 2026currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning1

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Structured outputstructured_output1

    Claim history for Structured output
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Supported parameterssupported_parameters1

    Claim history for Supported parameters
    ValueValid from → toStatusSourceConfidenceExtractor
    frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tool callingtool_calling1

    Claim history for Tool calling
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Weights availableweights_available1

    Claim history for Weights available
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

    Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

    Provenance

    Attributed facts

    20

    Source tiers

    T220

    Freshest observation

    3 h ago

    Conflicts

    None

    Source documents 3

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Fireworks AI — pricingdocs.fireworks.ai/serverless/pricing.md pricingT1· Official7 min ago2
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 min ago11
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary3 h ago2

    Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

    Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →