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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 MiniMax M3.1 Flash (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).
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 10th cheapest of 12 listed.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
