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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 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. Suited for prompt and response moderation, content classification, safety pipelines, and enterprise AI guardrails with policy enforcement, and includes a togglable reasoning mode. Part of the NVIDIA Nemotron family of open models for agentic AI.

VisionReasoning
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Specifications

Context window131K tokens
Max output8K tokens
API typechat
AddedJun 15, 2026
Model IDnvidia/nemotron-3.5-content-safety
Data retentionYes
Used for trainingYes
Provider location🇺🇸 US
Privacy policyNVIDIA Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the NVIDIA models overview.

Pricing

Input / 1M
Free
Output / 1M
Free
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K outputFree
1M input + 100K outputFree
10M input + 1M outputFree

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to nvidia/nemotron-3.5-content-safety.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="nvidia/nemotron-3.5-content-safety",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other NVIDIA models

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nemotron-3-nano-30b-a3b
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nemotron-3-super-120b-a12b
1.0M ctxFree/1M
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nemotron-3-ultra-550b-a55b
1.0M ctxFree/1M
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Frequently asked questions

How much does nemotron-3.5-content-safety cost?
nemotron-3.5-content-safety is priced at Free per million input tokens and Free per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of nemotron-3.5-content-safety?
nemotron-3.5-content-safety has a context window of 131K tokens, with a maximum output of 8K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
What can nemotron-3.5-content-safety do?
nemotron-3.5-content-safety supports vision input, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use nemotron-3.5-content-safety with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nvidia/nemotron-3.5-content-safety". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run nemotron-3.5-content-safety through Requesty?
Yes. nemotron-3.5-content-safety runs through Requesty's OpenAI-compatible API, served from NVIDIA. You do not host the model yourself: point base_url at Requesty, set the model to "nvidia/nemotron-3.5-content-safety", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access nemotron-3.5-content-safety through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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