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ModelCap

Nemotron 3.5 Lightning

Official publisher releaseLimited evidenceRestricted licenseFree tier7d #82 → #82

NVIDIA·#82 of 276 on the current board·cheaper than #81 Command A+

Nemotron 3.5 Lightning is a language model from NVIDIA. It ranks #82 of 276 on ModelCap's current board, with a thinly supported Index score of 55.8, measured on 1 public benchmark. Its score range of 36.7–74.9 spans positions #25–#165. It is listed at $0.08 per million input tokens and $0.20 per million output tokens across 5 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 28 Sept 2026, 02:38 UTC · download the public dataset · methodology

ModelCap Index · Current board
55.8#82
Measured on 1 public benchmark · range 36.7–74.9
Evidence as of 19 Sept 2026, 22:46 UTC
Market Gravity
54.7Decreased by 0.1
Secondary market signal
Input
$0.08
per 1M tokens
Output
$0.20
per 1M tokens
Context
1M
tokens
Providers
5
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Darkbloomint4Cheapest$0.039$0.18262Kint496.55%
Io Net$0.063$0.181M—100.0%
CoreWeavebf16$0.07$0.20262Kbf16100.0%
DeepInfrabf16$0.08$0.20262Kbf1699.42%
Phala$0.07$0.20262K—99.42%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
fireworks-ai
live
——262K299 ms209.2 tok/stools · structured

Reported evaluation leads (6)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
—11.72
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.1
terminalbench_2_1
—24.58
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—75.44
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
—39.33
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—51.56
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—81.94
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
55.8
Measured on 1 public benchmark
Current board
#82 of 276

Limited evidence. Measured on only 1 public benchmark, with limited support, so the score is less certain than a broadly measured one. What this label means

Score range
36.7–74.9
Rank range
#25–#165
Evidence as of
19 Sept 2026, 22:46 UTC
Benchmarks used
Artificial Analysis Intelligence Index
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 1 public benchmark observation across 1 board
Index support
20.0% · limited
Identity binding
Exact catalogue product · nvidia/nvidia/nemotron-3.5-lightning/bf16 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16@a9904d24bcc1d289a1950fa9d2b978c47cf903b9 (not the evaluation revision)
Index observations used
1
Qualified Index evidence point
55.8
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
55.8
Evidence status
provisional · 50% mass
General preference
55.8
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
80%
Evidence coverage
20%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
35.7
Liquidity (providers × uptime)
93.5
Open reach (HF downloads)
—
Surface (context / tools / modalities)
85.0
Freshness
83.4
  • · OpenRouter popularity #42
  • · 5 live providers
  • · Catalogue: context 1000000, reasoning, tools
  • · First seen 2026-08-11

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
80.8
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
97.3
Evaluation provenance
37.9

Not yet published: the base model it derives from, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
54.7
OpenRouter weekly popularity
#42 of 334

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
35.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
93.5

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
83.4

Time since first public availability, on a six-month half-life.

Specification

Model ID
nvidia/nemotron-3.5-lightning
Context window
1M tokens
Max output
131K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.04 / 1M
First seen on OpenRouter
11 Aug 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
a9904d24bcc1
Parameters
31.6B
Architecture
NemotronHForCausalLM
Model type
nemotron_h
Hugging Face downloads (30d)
463K
Downloads (all time)
876K
Likes
221
Repository updated
24 Aug 2026, 23:46 UTC

Benchmark leaderboards featuring Nemotron 3.5 Lightning

All leaderboards
Public benchmark boards on which Nemotron 3.5 Lightning has a published result
LeaderboardScoreSource rankConfigurationPublished
Artificial Analysis Intelligence IndexArtificial Analysis12.9#142 of 173Reasoning19 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis10.6%#298 of 633Reasoning5 Sept 2026

Alternatives to Nemotron 3.5 Lightning, by the numbers

Ranked neighbours

Models within 3 places of #82 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked NVIDIA models

The same publisher's other current models with a public Index position.

Nemotron 3.5 Lightning: common questions

How does Nemotron 3.5 Lightning rank among AI models?

Nemotron 3.5 Lightning holds ModelCap Index position #82 of 276 ranked language models as of 28 September 2026, with an Index score of 55.8 (interval 36.7–74.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Nemotron 3.5 Lightning cost per 1M tokens?

Nemotron 3.5 Lightning is listed at $0.08 per 1M input tokens and $0.20 per 1M output tokens as of 28 September 2026; the lowest output price among 5 providers is $0.18 on Darkbloom. Prices come from the OpenRouter catalogue and re-observe on every refresh; at least one provider lists a free tier. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.26 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning has a published context window of 1M tokens (1,000,000) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Nemotron 3.5 Lightning open-weight?

Restricted license (openmdw-1.1). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 on Hugging Face.

Which API providers serve Nemotron 3.5 Lightning?

5 providers serve Nemotron 3.5 Lightning through OpenRouter as of 28 September 2026: Darkbloom, Io Net, Phala, CoreWeave and DeepInfra. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Nemotron 3.5 Lightning been evaluated on?

Nemotron 3.5 Lightning has published results on 2 public boards tracked by ModelCap as of 28 September 2026: AA Intelligence Index 12.9 (#142 of 173) and AA Humanity's Last Exam 10.6% (#298 of 633). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was Nemotron 3.5 Lightning released?

Nemotron 3.5 Lightning first appeared in the catalogue on 11 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.