Nemotron 3.5 Content Safety overview
Nemotron 3.5 Content Safety by NVIDIA
Send a user message list with optional image content, and get back a safe/unsafe content-safety judgment for the conversation.
Nemotron 3.5 Content Safety specs
- Model ID
nvidia/nemotron-3.5-content-safety- Developer
- NVIDIA
- Context window
- 131,072 tokens
- Max output
- 117,964 tokens
- Input
- Image, Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Nemotron 3.5 Content Safety API?
Nemotron 3.5 Content Safety is NVIDIA’s compact multimodal safety and guardrail model for moderating prompts, optional images, and optional assistant responses in a single request. It is designed for content-safety classification across text and image inputs, with support for custom policy enforcement and reasoning-based moderation.
The model is presented as a multilingual safety moderator built on Google Gemma 3 4B IT, and NVIDIA describes it as fine-tuned for multimodal and multilingual content-safety tasks.
Technical Reference
| Developer | NVIDIA |
|---|---|
| Model ID | nvidia/nemotron-3.5-content-safety |
| Release Date | June 4, 2026 |
| Context Window | 131,072 tokens (~131K) |
| Max Output Tokens | 117,964 tokens |
| Modalities | Image, Text → Text |
| Capabilities | streaming, vision |
What Nemotron 3.5 Content Safety Brings to the Table
Multimodal moderation
The model accepts a prompt, an optional image, and an optional response, then returns safety labels for the user input and response if present.
Custom policy support
It can take a user-defined safety policy and, in custom-policy mode, produce a concise reasoning trace before the final classification.
Multilingual coverage
The model supports 12 languages according to NVIDIA and third-party model listings.
Safety taxonomy
In standard mode, it classifies content using NVIDIA’s safety taxonomy and can return violated safety categories.
Where Nemotron 3.5 Content Safety Makes the Most Sense
Prompt and response moderation
Use it to score user prompts and assistant replies as safe or unsafe before content is shown or acted on.
Image-aware safety filtering
Use it to moderate text-plus-image interactions where a single image may affect the safety decision.
Enterprise policy enforcement
Use it when you need developer-defined moderation rules rather than only a fixed safety taxonomy.
Audit-friendly moderation workflows
Use its reasoning mode when you need a short explanation trace to support review or policy tuning.
Nemotron 3.5 Content Safety vs the Alternatives
Nemotron 3 Content Safety Multimodal
NVIDIA’s NGC Catalog says Nemotron 3.5 Content Safety preserves the multimodal moderation behavior of Nemotron 3 Content Safety while adding custom-policy adaptation.
Nemotron Content Safety Reasoning 4B
NVIDIA’s NGC Catalog says Nemotron 3.5 Content Safety unifies the multimodal model with the custom-policy capabilities of the Nemotron Content Safety Reasoning 4B model.
Sources: https://huggingface.co/blog/nvidia/nemotron-3-5-content-safety · https://build.nvidia.com/nvidia/nemotron-3.5-content-safety · https://blogs.vultr.com/nemotron-3-5-content-safety
Use cases
Used as a content-safety moderator for inputs to and responses from LLMs and VLMs, including checking a prompt, an optional image, and an optional response for safe versus unsafe content.
Suited for safety and moderation workflows, where it detects unsafe and toxic content in multilingual, multimodal applications.
Used for multimodal content-safety moderation in enterprise AI guardrails, including custom-policy enforcement and reasoning-trace classification.
Applicable to prompt and response moderation pipelines, including real-time moderation of user inputs and model outputs.
Capabilities
- Streaming
- Vision
Nemotron 3.5 Content Safety API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.2116 | 1M tokens |
| Output | $0.2116 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Nemotron 3.5 Content Safety vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Nemotron 3.5 Content Safety | $0.2116 | $0.2116 |
| Nemotron 3 Nano 30B A3B | $0.0529 | $0.2116 |
| Nemotron 3 Super 120B-A12B | $0.0952 | $0.4761 |
| Nemotron 3.5 Super VL | $0.2645 | $1.59 |
| Nemotron 3 Ultra | $0.6348 | $3.81 |
How to use the Nemotron 3.5 Content Safety API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "nvidia/nemotron-3.5-content-safety",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "nvidia/nemotron-3.5-content-safety",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "nvidia/nemotron-3.5-content-safety",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Nemotron 3.5 Content Safety
Nemotron 3.5 Content Safety FAQ
What is the context window of Nemotron 3.5 Content Safety?
The model has a 131,072-token context window and can return up to 117,964 output tokens in a single response.
How much does Nemotron 3.5 Content Safety cost?
Nemotron 3.5 Content Safety costs $0.2116 input and $0.2116 output per 1M tokens on AI/ML API, billed as you go with no subscription.
What inputs and outputs does Nemotron 3.5 Content Safety support?
It accepts image and text input and returns text. That lets a single request carry a prompt, an optional image, and an optional response to be judged together.
Does Nemotron 3.5 Content Safety support streaming?
Yes. Streaming and vision are supported.
When was Nemotron 3.5 Content Safety released?
June 4, 2026.
What is the model ID for Nemotron 3.5 Content Safety?
Use nvidia/nemotron-3.5-content-safety as the model id.
How do I call Nemotron 3.5 Content Safety on AI/ML API?
Send a request to the chat completions endpoint with the model id nvidia/nemotron-3.5-content-safety. The request shape is the same as for any other chat model on AI/ML API.