nemotron-3-5-content-safety
Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Gemma 3 4B. It classifies user inputs and model responses (text and images) as safe or unsafe for LLM and VLM pipelines — it is a moderation model, not a general assistant.
Pricing: Input 48 credits / 1M tokens (≈ $0.24), Output 48 credits / 1M tokens (≈ $0.24).
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Nemotron 3.5 Content Safety API on ModelFold
Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Gemma 3 4B. It classifies user inputs and model responses (text and images) as safe or unsafe for LLM and VLM pipelines — it is a moderation model, not a general assistant. Try Nemotron 3.5 Content Safety in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Nemotron 3.5 Content Safety API
Nemotron 3.5 Content Safety at a glance
Nemotron 3.5 Content Safety is a chat model from NVIDIA. It accepts text and images as input and returns text, with a context window of up to 131K tokens.
Use it without hosting anything
On ModelFold you call Nemotron 3.5 Content Safety with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Nemotron 3.5 Content Safety
Up to 131K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images
Besides text, Nemotron 3.5 Content Safety accepts images as input, so a single request can combine instructions with visual or other media.
Reasoning mode
Nemotron 3.5 Content Safety can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
How to Use Nemotron 3.5 Content Safety on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Nemotron 3.5 Content Safety responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "nemotron-3-5-content-safety" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Nemotron 3.5 Content Safety
Security analysis
Assist with code auditing, vulnerability triage and reviewing configurations as part of security workflows.
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Frequently Asked Questions
What is Nemotron 3.5 Content Safety?⌄
Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Gemma 3 4B. It classifies user inputs and model responses (text and images) as safe or unsafe for LLM and VLM pipelines — it is a moderation model, not a general assistant.
Which inputs does Nemotron 3.5 Content Safety support?⌄
Nemotron 3.5 Content Safety accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Nemotron 3.5 Content Safety?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Nemotron 3.5 Content Safety support function calling?⌄
Function calling is not listed for Nemotron 3.5 Content Safety; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Nemotron 3.5 Content Safety billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Nemotron 3.5 Content Safety through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "nemotron-3-5-content-safety", using your ModelFold API key as the Bearer token.
| Input | 48 credits 1M tokens≈ $0.24 |
| Output | 48 credits 1M tokens≈ $0.24 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nemotron-3-5-content-safety","messages":[{"role":"user","content":"Hello"}]}'