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NVIDIA
nvidia/nemotron-3.5-content-safetyCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
NVIDIA nvidia/nemotron-3.5-content-safety
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...
Nemotron 3.5 Content Safety earns a request when it needs step-by-step reasoning, image input, running on your own hardware; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.20 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
A higher intelligence index, best first, with the price it comes at.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Nemotron 3.5 Content Safety
targets:
- id: nemotron-3-5-content-safety
kind: llm
name: Nemotron 3.5 Content Safety
metadata:
model: nvidia/nemotron-3.5-content-safety # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: false
context_window: 131072
cost:
usd_per_1k_tokens: 0.000200Input list price per million tokens; Nemotron 3.5 Content Safety is the 9th cheapest of 11 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
