Nvidia

Nemotron Content Safety 3.5

nvidia
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Nemotron Content Safety 3.5 is a multimodal safety classifier developed by NVIDIA. A compact safety model that handles text, images, and custom policies. It outputs a safe/unsafe classification plus a reasoning trace, and can be used as an inference-time guardrail, as a judge for LLM safety testing and evaluation, or with the accompanying training dataset to post-train models for safer behavior.

Modalities

In / out price

$0.20 / $0.20

per 1M

Context

131K

Max output

16K

Released

Updated

Sep 6, 2026

Providers

1 route

The same model can have different pricing and privacy guarantees depending on who serves it. The model's headline privacy uses the strongest available route below. Discovered routes awaiting approval remain listed as not live.

ProviderPrivacyInput / 1MOutput / 1MCache read / 1MContextMax outputUptimeLatencyThroughput
DeepInfraDeepInfra
Private$0.20$0.20131K16K

Privacy

2 / 4

Private routing

Private tier

  1. Anonymous
  2. Private
  3. TEE
  4. E2EE

Prompt and response content is not retained after the request. Request content is visible to the inference runtime while it is being processed. Learn more

Features

2
Streaming
Vision

Uptime

Nemotron Content Safety 3.5 — AnonRouter Models