Explore the OpenAI gpt-oss-safeguard-20b Model

Efficient safety reasoning with OpenAI's gpt-oss-safeguard-20b model.

Input: text Output: text Context: 131,072 tokens Release: 2025-10-29

The OpenAI gpt-oss-safeguard-20b, released in October 2025, is a text-to-text model designed for safety reasoning tasks. Built on the gpt-oss-20b framework, this model features a 21 billion parameter Mixture-of-Experts architecture, providing efficient performance for tasks such as content classification, LLM filtering, and trust & safety labeling. With a substantial context window of 131,072 tokens, it supports various text input and output modalities. This model is particularly suited for applications requiring nuanced safety evaluations, offering lower latency in processing complex safety-related queries.

Use Cases

Here are a few ways teams apply OpenAI: gpt-oss-safeguard-20b in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance content safety classification

Improve LLM filtering processes

Streamline trust and safety labeling

Optimize safety-related query processing

Key Features

A quick look at the capabilities that make this model useful in real projects.

21B-parameter Mixture-of-Experts architecture

Designed for safety reasoning tasks

Supports content classification and LLM filtering

Large context window of 131,072 tokens

Text-to-text input and output modalities

Specs

Overview

Vendor
openai

Model ID
openai/gpt-oss-safeguard-20b

Release
2025-10-29

Modalities & context

Input
text

Output
text

Context
131,072 tokens

Parameters & defaults

Supported parameters: include_reasoning, max_tokens, reasoning, response_format, seed, stop, temperature, tool_choice, tools, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: OpenAI: gpt-oss-safeguard-20b

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

Artificial intelligence is poised to reshape work, leisure, and creativity in ways that amplify human potential rather than merely replace it. In the workplace, AI can automate routine tasks, freeing employees to focus on strategic, empathetic, and innovative work. Predictive analytics and intelligent assistants enable smarter decision‑making, while collaborative robots (cobots) augment physical labor, improving safety and productivity. For leisure, AI curates personalized experiences—music, art, and travel—by learning individual preferences and generating novel content in real time. It also powers immersive virtual environments that blend gaming, education, and social interaction, making downtime more enriching. Creatively, AI acts as a co‑creator, offering instant drafts, suggesting novel combinations, and democratizing access to sophisticated tools. By lowering technical barriers, it empowers amateurs to produce professional‑grade art, music, and literature. Together, these shifts foster a culture where human ingenuity is amplified, work is more meaningful, and leisure becomes a fertile ground for exploration, everywhere, always.

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up.end

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verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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