nemotron-3.5-content-safetyNVIDIA
- api
- chat
- hosting
- US
- model lab
- NVIDIA
- weights
- open
- added
- June 2026
- model id
- nvidia/nemotron-3.5-content-safety
capabilities 2/8
- input
- free
- output
- free
- cache write
- -
- cache read
- -
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | free |
| 1M in + 100K out | free |
| 10M in + 1M out | free |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- yes
- trains on prompts
- yes
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. NVIDIA Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
nvidia/nemotron-3.5-content-safetythis id pins the nvidia deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
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)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
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.
questions 5
How much does nemotron-3.5-content-safety cost?
What is the context window of nemotron-3.5-content-safety?
What can nemotron-3.5-content-safety do?
How do I use nemotron-3.5-content-safety with the OpenAI SDK?
Can I run nemotron-3.5-content-safety through Requesty?
more from nvidia 6
| endpoint | ctx | in /M |
|---|---|---|
| nemotron-3.5-lightning-30b-a3b | 1.0M | free |
| muse-glimmer-30b | 131K | free |
| nemotron-3-nano-omni-30b-a3b-reasoning | 131K | free |
| nemotron-3-ultra-550b-a55b | 1.0M | free |
| nemotron-3-super-120b-a12b | 1.0M | free |
| nemotron-3-nano-30b-a3b | 262K | free |
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 when a provider degrades, and prompt caching built in. Methodology