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Nemotron 3.5 Content Safety

Added Sep 19, 2026Open weights

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Use in the app

Nemotron 3.5 Content Safety is a content moderation classifier that labels user messages and assistant responses as safe or unsafe. It supports a 131,072-token context window and optional reasoning.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.15
Cache read
$0.025

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
32.8K
Average output (7 days)
16 tokens
Longer than 0% of 465 models

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Nemotron 3.5 Content Safety compared

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Nemotron 3.5 Content SafetynvidiaThis modelGemma 4 12B Starry OceanGoogleRemove
ProvidernvidiaGoogle
Discovery tierOpen weightsOpen weights
AddedSep 19, 2026Oct 15, 2026
Limits
Context window131.07K131.07K
Max output32.77K—
Average output16 tokens—
Pricing, USD per 1M tokens
Input$0.05$0.05
Output$0.15Best$0.25
Cache read$0.025$0.025
Performance
Request success (24h)—99.4%
Capabilities
ReasoningYesYes
ToolsNoYes
VisionNoYes
Reasoning effort—none, high

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3.5-content-safety",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="nvidia/nemotron-3.5-content-safety",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

nvidia

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