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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

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Nemotron 3.5 Content SafetynvidiaThis modelQwen3.5 9BQwenRemove
ProvidernvidiaQwen
Discovery tierOpen weightsOpen weights
AddedSep 19, 2026Mar 10, 2026
Limits
Context window131.07K262.14KBest
Max output32.77K65.54KBest
Average output16 tokens1.4K tokens
Pricing, USD per 1M tokens
Input$0.05$0.05
Output$0.15$0.15
Cache read$0.025—
Performance
Request success (24h)—99.8%
Benchmark indexes
Intelligence Index—13.3
Coding Index—23.5
Capabilities
ReasoningYesYes
ToolsNoYes
VisionNoYes
Video inputNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Nemotron 3.5 Content Safety
  • Qwen3.5 9B

Intelligence Index

  • Nemotron 3.5 Content Safety—
  • Qwen3.5 9B13.3
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 23.5

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 46.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 9.4%

  • GPQA Diamond

    Graduate-level science questions

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 78.6%

  • IFBench

    Following precise output instructions

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 37.8%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 18.2%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 85.1%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Nemotron 3.5 Content Safety: —
    • Qwen3.5 9B: 46.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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)

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