gpt-oss-safeguard: Open-Weight Safety Reasoning Models
OpenAI released gpt-oss-safeguard, a pair of open-weight safety-classification models (120B and 20B) under an Apache 2.0 license. The models take a safety policy supplied by the developer at inference time and classify content against it, emitting chain-of-thought reasoning alongside the classification rather than a fixed-taxonomy score. They are presented as an open-weight counterpart to an internal safety-reasoning system.
Publisher
OpenAI
Published
29 Oct 2025
Added
today
DOI
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Key Findings
- Policy-conditional design: the safety taxonomy is supplied by the developer at inference time rather than fixed in the model
- Outputs explicit reasoning alongside each safety classification
- Released as open weights (Apache 2.0) in 120B and 20B sizes; developed with partners including Discord, SafetyKit, and ROOST
Methodology Notes
Model card / research-preview release, 29 October 2025. The accompanying OpenAI announcement and technical report were published the same period but return access errors to automated fetchers, so the Hugging Face model card is the verifiable primary source. Note: an August 2025 arXiv report (2508.10925) covers the base gpt-oss models, not this safeguard variant.
Sources
OpenAI model card (Hugging Face) (primary)
Archived snapshot (Wayback Machine) — preserved against link rot
Tags
Cite This
APA
OpenAI (2025). gpt-oss-safeguard: Open-Weight Safety Reasoning Models. OpenAI. https://huggingface.co/openai/gpt-oss-safeguard-120b