Nemotron 3.5 Content Safety
Open weightVisionNVIDIA · Released June 2026
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B.
It belongs to NVIDIA's open-weight Nemotron line, tuned for helpfulness and agents on top of leading open architectures.
Facts and pricing
- Provider
- NVIDIA
- Context window
- 131K tokens
- Input price
- 2.4 credits / 1M tokens ($0.20 raw)
- Output price
- 2.4 credits / 1M tokens ($0.20 raw)
- Vision (image input)
- Yes
- Tool calling
- No
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.
Try Nemotron 3.5 Content Safety now
What Nemotron 3.5 Content Safety is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Working with images: screenshots, charts, photos and scanned documents alongside text
Example prompts
Prompts that suit a open weight model like Nemotron 3.5 Content Safety:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
NVIDIA family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Nemotron 3.5 Super VL | 1.0M | 1.8 | 6.0 | October 2026 |
| Switchyard | 1M | -1.2e+7 | -1.2e+7 | September 2026 |
| Nemotron 3.5 Lightning | 262K | 0.84 | 2.4 | August 2026 |
| Nemotron 3.5 Content Safety | 131K | 2.4 | 2.4 | June 2026 |
| Nemotron 3 Ultra | 203K | 7.2 | 28.8 | June 2026 |
| Nemotron 3 Super | 1.0M | 3.6 | 28.8 | March 2026 |
| Nemotron 3 Nano 30B A3B | 262K | 0.72 | 2.9 | December 2025 |
Model comparisons
- Claude Opus 5.5 vs Claude Opus 5
- Claude Opus 5.5 vs GPT-6 Astra
- Claude Opus 5.5 vs GPT-6 Sol
- Claude Opus 5.5 vs Claude Sonnet 5
Frequently asked questions
- What is Nemotron 3.5 Content Safety?
- Nemotron 3.5 Content Safety is an AI model by NVIDIA. NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B.
- How much does Nemotron 3.5 Content Safety cost on Zeplik?
- Input tokens cost 2.4 credits per million and output tokens 2.4 credits per million (1 credit = $0.10; the raw provider rates are $0.20 and $0.20 per million). New accounts start with free credits.
- How long can a conversation with Nemotron 3.5 Content Safety be?
- Nemotron 3.5 Content Safety has a 131K-token context window (131,072 tokens), which covers the conversation plus any documents you attach.
- Does Nemotron 3.5 Content Safety support images and tools?
- Nemotron 3.5 Content Safety accepts image input and does not support tool calling.
Related models
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.
Switchyard is an open-source model router that switches between multiple models to optimize the cost of requests.
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total.
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE).
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications.
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems.
More you can do with Nemotron 3.5 Content Safety
- 468 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Nemotron 3.5 Content Safety or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.