NVIDIA Nemotron 3.5 Content Safety
NVIDIA Nemotron 3.5 Content Safety: open content-safety classification model.
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What is NVIDIA Nemotron 3.5 Content Safety?
NVIDIA Nemotron 3.5 Content Safety is a compact 4-billion parameter multimodal and multilingual guardrail model based on the Gemma-3-4B-it architecture. It evaluates prompts, images, and assistant responses to enforce safety policies, making it ideal for developers building secure AI applications with custom enterprise requirements.
NVIDIA Nemotron 3.5 Content Safety pricing
Pricing model: Freemium
Free open weights for self-hosting; API access varies from free to roughly $0.20 per 1M tokens depending on the provider, with enterprise NIM options available.
NVIDIA Nemotron 3.5 Content Safety pros
- Evaluates text and image inputs simultaneously within a single context window
- Allows developers to define and enforce custom enterprise safety policies
- Provides reasoning traces to explain its safety classifications
- Small 4B parameter size enables efficient, low-latency deployment
NVIDIA Nemotron 3.5 Content Safety cons
- Inherits baseline capabilities and potential limitations from the underlying Google Gemma-3-4B-it model
- Requires managing your own infrastructure and compute costs for self-hosted deployments
- Limited to 8,192 tokens for maximum output length
Frequently asked questions about NVIDIA Nemotron 3.5 Content Safety
Can I use Nemotron-3.5-Content-Safety for commercial purposes?
Yes, it is available for commercial use under the OpenMDW License Agreement, subject to Gemma's Terms of Use.
What languages are supported by the model?
It explicitly supports 12 trained languages (including English, Spanish, and Chinese) and inherits zero-shot capabilities for approximately 140 languages.
Does the model only check NVIDIA's standard safety taxonomy?
No, it supports custom safety policies, allowing you to enforce rules specific to your enterprise alongside standard checks.