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...
Cost / 1M tokens
Very low usage$0.20
input
—
cached input
$0.20
output
Context Window
131K
Up to 118K max output
Modalities
text, image → text
Other tokenizer
Quickstart & API
nvidia/nemotron-3.5-content-safetyBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Complex reasoning & debugging
- Screenshot-to-code workflows
- Open-source AI workflows
Active Provider Endpoints (1)
Upstream inference providers serving Nemotron 3.5 Content Safety, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
DeepInfra deepinfra/bf16 | $0.20 | $0.20 | — | 131K | 118K | bf16 | 97.5% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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