Nemotron 3 Content Safety
Nemotron 3 Content Safety is a released long context, vision, and classification model with open-weight and 131k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating long context, vision, and classification
- Workloads that can use a 131k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Strict JSON or tool-calling flows
- Teams that need a tracked hosted API route today
- Family
- Nemotron 3
- Released
- 2026-03-20
- Context
- 131k
- Parameters
- 4B
- Architecture
- Decoder Only
- Specialization
- moderation
- Openness
- Open weights
- License
- NVIDIA Open ModelCommercial use: permitted
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
4B multimodal content-safety classifier built on Gemma 3 4B IT. It classifies text and images across 23 harmful-content categories and is available on Hugging Face and NVIDIA NIM.
Nemotron 3 Content Safety is an open-weight model in the Nemotron 3 family. The structured metadata tracks a 131k-token context window and multimodal input. No headline benchmark score is tracked for Nemotron 3 Content Safety yet.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Vision
Included by capability and metadata signals in the decision map.
Classification
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.