gpt-oss-safeguard

Open weight reasoning model that classifies text against a policy you write.

Made by OpenAIAI content classifiers

Repository

About gpt-oss-safeguard

gpt-oss-safeguard is made up of two safety reasoning models, gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, built upon gpt-oss. The models are intended for safety use cases. Users can classify text content based on safety policies that they provide.

Drafted from github.com · not yet confirmed by OpenAI

How it works

gpt-oss-safeguard is OpenAI's open weight reasoning model tuned for policy classification. You pass your written policy and the content together, and instead of returning a bare label it reasons through the policy and explains why the content does or doesn't violate it. That makes it slower and more expensive than a small classifier but far better on nuanced or novel policies, and the rationale is useful for reviewer training and appeals.

It comes in two sizes and runs anywhere gpt-oss runs. OpenAI positions it as the tool you reach for when a fixed category classifier isn't enough and you're willing to spend compute on judgment.

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