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 text and image input and returning text output: a safe/unsafe classification for the user prompt and the response, safety category labels, and an optional reasoning trace. It covers 12 languages with a context window of up to 128K tokens.
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Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B.
On NagaAI, Nemotron 3.5 Content Safety costs $0.10 per 1M input tokens and $0.10 per 1M output tokens. You pay only for what you use, with no subscription.
Nemotron 3.5 Content Safety reads up to 131.1k tokens in one request, counting the prompt and the answer together.
No. Nemotron 3.5 Content Safety answers plain prompts without tools or a response schema.
It takes text and images as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
Nemotron 3.5 Super VLNvidiaNemotron 3.5 LightningNvidiaNemotron 3 UltraNvidiaNemotron 3 SuperNvidiaNemotron 3 Nano 30B A3BNvidia$0.03 / $0.12 per 1M
LFM3-1.7BLiquid AI$0.04 / $0.10 per 1MNot enough activity data to display a chart