gpt-oss-safeguard-20b
Safety model for policy screening, moderation, and risk-aware routing workflows
- Context
- 131K
- Released
- 11mo ago
- Parameters
- 20B
- Input / 1M tokens
- $0.08
- Output / 1M tokens
- $0.30
- Cached input / 1M tokens
- $0.04
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
- OpenAI
- Model family
- GPT
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- October 29, 2025
- Model ID
openai/gpt-oss-safeguard-20b- Openness
- Open weights
- License
- —
- Parameters
- 20B
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Native context
- 128K
- Tokenizer
- GPT
- Max output tokens
- 66K
- Hugging Face
- openai/gpt-oss-safeguard-20b
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Open-weight builds
Ollama variants
Every published Ollama tag matched to this model, including parameter editions, instruction/base variants, and quantized builds.
| Variant | Parameters | Type | Quantization | Size | Context | Input |
|---|---|---|---|---|---|---|
| gpt-oss-safeguard:latest | 20B | — | — | 14 GB | 128K | text |
| gpt-oss-safeguard:120b | 120B | — | — | 65 GB | 128K | text |
Additional source evidence
- Source model
- openai/gpt-oss-safeguard-20b
- Source family
- gpt-oss
- Last updated
- 2025-10-29
- Model context
- 131K
- Model output limit
- 131K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "openai/gpt-oss-safeguard-20b",
"name": "GPT OSS Safeguard 20B",
"description": "Safety model for policy screening, moderation, and risk-aware routing workflows",
"family": "gpt-oss",
"last_updated": "2025-10-29",
"attachment": false,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 131072,
"output": 131072
},
"release_date": "2025-10-29",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/openai/gpt-oss-safeguard-20b"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| groq | 131K | $0.08 | $0.30 | $0.04 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanationDeployment 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.