Requesty

nemotron-3.5-content-safety

NVIDIA/🇺🇸 US/chat

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.More
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Which id to call

nvidia/nemotron-3.5-content-safety

This exact deployment on NVIDIA, with no routing and no failover. Send it as the model field.

Input /1M

free

NVIDIA

Output /1M

free

no charge

Context

131K

8K output

Added

Jun 2026

chat

Capabilities 2/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What nemotron-3.5-content-safety costs

Provider prices per 1M tokens, updated September 13, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

free

Output /1M

free

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
free
1M input + 100K output
free
10M input + 1M output
free

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

nvidia/nemotron-3.5-content-safety

This exact deployment on NVIDIA, with no routing and no failover. Send it as the model field.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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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)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window131K tokens
Max output8K tokens
API typechat
AddedJun 2026
Model id
Data retentionYes
Used for trainingYes
Served from🇺🇸 US
Privacy policyNVIDIA Privacy Policy →

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the NVIDIA models overview.

Same provider

More from NVIDIA

Newest first, on the same provider and the same key.

nemotron-3.5-lightning-30b-a3b

1.0M ctx/free/1M

muse-glimmer-30b

131K ctx/free/1M

nemotron-3-nano-omni-30b-a3b-reasoning

131K ctx/free/1M

nemotron-3-ultra-550b-a55b

1.0M ctx/free/1M

nemotron-3-super-120b-a12b

1.0M ctx/free/1M

nemotron-3-nano-30b-a3b

262K ctx/free/1M

Reference

nemotron-3.5-content-safety 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

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 600+ other models too.

Call nemotron-3.5-content-safety through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

All NVIDIA models