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ModelCap

Nemotron 3.5 Content Safety

Restricted licenseFree tier

NVIDIA·nvidia/nemotron-3.5-content-safety

Nemotron 3.5 Content Safety is a language model published by NVIDIA. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text, image input and returns text. The published context limit is 128K tokens. The catalogue declares support for reasoning.

ModelCap Index · Current board
—
Not scored · 0% support · score interval not available
Market Gravity
23.3
Secondary market signal
Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
128K
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
NvidiaFreeFree128K—100.0%

ModelCap Index · Current board

Methodology
—
Not scored · excessive distance
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
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)
Direct benchmark observations
0
Architecture fallback
abstained · 100% coverage · 3 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)
5.7
Liquidity (providers × uptime)
35.0
Open reach (HF downloads)
—
Surface (context / tools / modalities)
65.0
Freshness
78.3
  • · OpenRouter popularity #215
  • · 1 live provider
  • · Catalogue: context 128000, 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
48.4
32.4–64.3 uncertainty interval
Excluded from rank
Confidence
70%
Training support
156 models · 94 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
9.1 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
23.3
OpenRouter weekly popularity
#215 of 298

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

Awaiting evaluation

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%
5.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.0

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%
78.3

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

Specification

Context window
128K tokens
Max output
8K 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
Licence
openmdw-license-agreement
Pinned revision
35645ed3543b
Parameters
4.3B
Architecture
Gemma3ForConditionalGeneration
Model type
gemma3
Hugging Face downloads (30d)
177K
Downloads (all time)
185K
Likes
42
Repository
nvidia/Nemotron-3.5-Content-Safety
Repository updated
24 Jun 2026, 16:21 UTC