Nemotron 3.5 Content Safety
Safety model for policy screening, moderation, and risk-aware routing workflows
- Context
- 131K
- Released
- 4mo ago
- Parameters
- —
- Input / 1M tokens
- $0.20
- Output / 1M tokens
- $0.20
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- NVIDIA
- Model family
- Nemotron
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- June 4, 2026
- Model ID
nvidia/nemotron-3.5-content-safety- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Tokenizer
- Other
- Max output tokens
- 118K
- Hugging Face
- nvidia/Nemotron-3.5-Content-Safety
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- nvidia/nemotron-3.5-content-safety
- Source family
- nemotron
- Last updated
- 2026-06-04
- Model context
- 128K
- Model output limit
- 8K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- No
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "nvidia/nemotron-3.5-content-safety",
"name": "Nemotron 3.5 Content Safety",
"description": "Safety model for policy screening, moderation, and risk-aware routing workflows",
"family": "nemotron",
"last_updated": "2026-06-04",
"attachment": true,
"reasoning": true,
"tool_call": false,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 128000,
"output": 8192
},
"release_date": "2026-06-04",
"open_weights": true
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| deepinfra/bf16 | 131K | $0.20 | $0.20 | — | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.