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ModelCap

Nemotron 3.5 Content Safety

Official publisher releaseRestricted licenseFree tier

NVIDIA·nvidia/nemotron-3.5-content-safety

Nemotron 3.5 Content Safety listed OpenRouter input price is $0.20 per 1M tokens and listed output price is $0.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Nemotron 3.5 Content Safety has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Nemotron 3.5 Content Safety has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Nemotron 3.5 Content Safety weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
23.6
Secondary market signal
Input
$0.20
per 1M tokens
Output
$0.20
per 1M tokens
Context
131K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrabf16$0.20$0.20131Kbf16

Other versions (1)

ModelCap Index · Current board

Methodology
Not scored · no public benchmark rows
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · nvidia/nvidia/nemotron-3.5-content-safety · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/Nemotron-3.5-Content-Safety@35645ed3543b7e7ffaed2e788699e57a5051497c (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
7.0
Liquidity (providers × uptime)
35.8
Open reach (HF downloads)
Surface (context / tools / modalities)
65.2
Freshness
65.9
  • · OpenRouter popularity #215
  • · 1 live provider
  • · Catalogue: context 131072, reasoning, modalities Text/Image
  • · First seen 2026-06-04

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

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.

Experimental capability estimate

Estimate policy
47.4
30.4–64.4 uncertainty interval
Excluded from rank
Confidence
70%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
10.0 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
64.4
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
68.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
23.6
OpenRouter weekly popularity
#215 of 322

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%
7.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.8

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%
65.9

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

Specification

Context window
131K tokens
Max output
118K tokens
Inputs
Text, Image
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
4 Jun 2026

Capabilities

  • Supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not 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
35645ed3543b
Parameters
4.3B
Architecture
Gemma3ForConditionalGeneration
Model type
gemma3
Hugging Face downloads (30d)
88K
Downloads (all time)
313K
Likes
52
Repository updated
24 Jun 2026, 16:21 UTC

Nemotron 3.5 Content Safety: common questions

How does Nemotron 3.5 Content Safety rank among AI models?

Nemotron 3.5 Content Safety has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Nemotron 3.5 Content Safety cost per 1M tokens?

Nemotron 3.5 Content Safety is listed at $0.20 per 1M input tokens and $0.20 per 1M output tokens as of 22 September 2026. 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 $0.50 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 Content Safety?

Nemotron 3.5 Content Safety has a published context window of 131K tokens (131,072) and a maximum output of 118K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Nemotron 3.5 Content Safety open-weight?

Restricted license (openmdw-license-agreement). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is nvidia/Nemotron-3.5-Content-Safety on Hugging Face.

Which API providers serve Nemotron 3.5 Content Safety?

One provider serves Nemotron 3.5 Content Safety through OpenRouter as of 22 September 2026: DeepInfra. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was Nemotron 3.5 Content Safety released?

Nemotron 3.5 Content Safety first appeared in the catalogue on 4 Jun 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.