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Model details

Nemotron 3.5 Content Safety

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Vultrnemotron-3.5-content-safetynemotron

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Vultr
Model key
nemotron-3.5-content-safety
Release date
Jun 4, 2026
Last updated
Jun 4, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.05
Output token cost
$0.15

Limits

Output tokens
8,192 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Nemotron 3.5 Content Safety

Vultr

Official sourceAnnouncement

NVIDIA Nemotron 3.5 Content Safety is a 4B-parameter multimodal safety model built on Google's Gemma-3-4B-it foundation and fine-tuned by NVIDIA for guardrails workloads. Vultr announced Day Zero availability of the model, giving developers access to a compact small language model designed to moderate AI inputs and outputs across text and images in a single workflow. Key capabilities include 23 safety categories aligned with the Aegis v2 taxonomy, custom policy reasoning with explanations, multilingual moderation across 12 languages, and a 128K-token context window. The model supports both fixed taxonomy classification and customizable policy modes, letting teams align moderation with internal compliance or industry-specific governance requirements.

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