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Model details

Nemotron 3.5 Content Safety

Nemotron 3.5 Content Safety is a small language model published by NVIDIA, packaged as a NIM container on NVIDIA NGC and built on Google's Gemma-3-4B-it base, which NVIDIA then fine-tuned on multimodal, multilingual, and reasoning-oriented content-safety datasets. The model is positioned as a compact 4B-parameter safety classifier that extends the earlier Nemotron 3 Content Safety, adding coverage for prompts, responses, and images so a single call can judge both text and visual content. Because it is released as open weights, teams can self-host it on NVIDIA-accelerated infrastructure and integrate it with common inference frameworks for real-time moderation in production pipelines.

In practice, the model is intended for developers and enterprises that need to moderate AI inputs and outputs across languages and modalities while staying inside their own governance rules. It supports a 23-category safety taxonomy, customizable policy reasoning with concise traces before each verdict, and multilingual moderation for a dozen languages out of the box, making it suitable for global deployments. An independent guardrail benchmark run by Artificial Analysis in partnership with NVIDIA placed Nemotron 3.5 Content Safety among the specialist safety classifiers evaluated for F1 score, recall, specificity, and end-to-end latency on open datasets like WildGuardTest, ToxicChat, and XSTest, giving adopters a public reference point for its balance of catching unsafe content without over-refusing safe prompts.

Kilo Gatewaynvidia/nemotron-3.5-content-safetynemotron

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Provider
Kilo Gateway
Model key
nvidia/nemotron-3.5-content-safety
Release date
Jun 2, 2026
Last updated
Jun 2, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$0.20

Limits

Output tokens
117,964 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

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Official source

NVIDIA's NIM product page for nemotron-3.5-content-safety offers a free, rate-limited trial endpoint for the multilingual, multimodal safety model. The page tags the model under ai safety, nemo guardrails, llm safety, multilingual content safety, and safety and moderation, and is accelerated by DGX Cloud. The trial service is governed by the NVIDIA API Trial Terms of Service, while model use is governed by the NVIDIA Nemotron Open Model License plus the Gemma Terms of Use and Gemma Prohibited Use Policy. Developers access the model through build.nvidia.com with a free API key for development, with traffic subject to throttling and rate limits shared across users. The page provides API reference and deployment links alongside a model card and example inputs, but detailed architecture and benchmark specifics live on the companion model card page. This listing establishes the subject model's official NIM endpoint and licensing posture for product integration.

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Official sourceDocumentation

NVIDIA's NIM API reference documents the Nemotron 3.5 Content Safety model as a small language model fine-tuned by NVIDIA on top of Google's Gemma-3-4B-it base, with a LoRA adapter merged back into the base weights. It accepts a prompt, an optional image, and an optional response, returning safety labels and a list of violated categories when content is flagged as unsafe. The model targets multimodal content moderation for both LLM and VLM inputs and outputs, using the same taxonomy as the prior Nemotron 8B content-safety model. The page confirms release dates of 2026-03-16 on Hugging Face and NGC and 2026-06-02 on build.nvidia.com, with global deployment geography. Use is governed by the OpenMDW-1.1 license, Gemma Terms of Use, and the Gemma Prohibited Use Policy. The model is ready for commercial use and is positioned as an extension of the popular Nemotron 8B content-safety model, adding multimodal capability to text-only moderation.

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