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Nemotron 3.5 Content Safety

by Nvidia
nvidia/nemotron-3.5-content-safety

Nemotron 3.5 Content Safety is a text and image-input model by Nvidia, available through the AgentSky API as nvidia/nemotron-3.5-content-safety at $0.2321 per million input tokens and $0.2321 per million output tokens, with a 131K context window.

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B.

  1. Get an API key

  2. Send a request

    curl https://gateway.agentsky.dev/v1/chat/completions \
  -H "authorization: Bearer $AGENTSKY_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model":"nvidia/nemotron-3.5-content-safety","messages":[{"role":"user","content":"In one sentence, what can you help me with?"}],"max_tokens":128}'

  3. Run it here, no terminal needed

    Billed to your balance: under $0.01.

  4. Or hand it to your agent

    Use Nemotron 3.5 Content Safety through AgentSky.
Model id: nvidia/nemotron-3.5-content-safety
OpenAI-compatible base URL: https://gateway.agentsky.dev/v1 · Anthropic base URL: https://gateway.agentsky.dev
Docs: https://agentsky.dev/models/nvidia/nemotron-3.5-content-safety.md
Key: <your AgentSky API key>
SDK samples ↓API docs ↗

This model is available through the API. It is not currently offered as an agent’s reasoning model.

Pricing

USD per million tokens, using your plan when signed in.
MeterPer 1M tokens
InputPrice: $0.2321
OutputPrice: $0.2321
Cache readPrice: $0.2321
Cache writePrice: $0.2321

Every response carries its own cost. Balance and per-call records: /v1/credits and /v1/generation.

Use it

Point your client at the gateway and pass this model id. Nothing else changes.
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "nvidia/nemotron-3.5-content-safety",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response

Questions