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NVIDIA: Nemotron 3.5 Content Safety: AI model

Nemotron 3.5 Content Safety is a compact multimodal guardrail model for content moderation from NVIDIA with a 131K-token context window. Reachable from inside Iran through Hormouz.

Context window:
131,072 tokens
Input:
$0.2/1M tokens
Output:
$0.2/1M tokens
Type:
text, image
  • Vision
  • Streaming
  • Long context

Thinking levels:

Nemotron 3.5 Content Safety is a 4B-parameter guardrail model from NVIDIA, fine-tuned from Gemma-3-4B. It checks both what users send to a language or vision model and what the model answers, and returns a safe or unsafe verdict for each, the safety categories involved and, optionally, its reasoning. It understands text and images, covers 12 languages and reads up to 128K tokens.

It accepts text and image input and returns text, and supports streaming. Nemotron 3.5 Content Safety is commonly used for prompt and response moderation, content classification, safety pipelines and enterprise AI guardrails. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $0.2 per million input tokens and $0.2 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3.5-content-safety",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorNVIDIA
TypeText, Image
Context window131,072 tokens
Pricing$0.20/M in · $0.20/M out
APIChat Completions
CapabilitiesStreaming · Vision

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3.5-content-safety",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="nvidia/nemotron-3.5-content-safety",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "nvidia/nemotron-3.5-content-safety",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the NVIDIA: Nemotron 3.5 Content Safety API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches NVIDIA: Nemotron 3.5 Content Safety and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does Nemotron 3.5 Content Safety cost?
Pricing is usage-based: $0.2 per million input tokens and $0.2 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Nemotron 3.5 Content Safety from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Nemotron 3.5 Content Safety compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Nemotron 3.5 Content Safety have?
It has a 131K-token context window, accepts text and image input, and supports streaming.
What is Nemotron 3.5 Content Safety good for?
Typical uses are prompt and response moderation, content classification, safety pipelines and enterprise AI guardrails.

Updated 2026-10-13