OpenAI: gpt-oss-safeguard-20b
By Openai
Released: 2025-10-29
OpenAI GPT Oss Safeguard 20B, developed by OpenAI, features 20B parameters, MoE architecture and 131k-token context window. gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust & safety labeling. Learn more about this model in OpenAI's gpt-oss-safeguard [user guide](https://cookbook.openai.com/articles/gpt-oss-safeguard-guide). Priced affordably at $0.07/1M tokens.
Visit OpenAI: gpt-oss-safeguard-20bAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Openai Model Timeline
128k tokens context
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131k tokens context
131k tokens context
131k tokens context
131k tokens context
131k tokens context
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1,048k tokens context
1,048k tokens context
1,048k tokens context
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128k tokens context
128k tokens context
200k tokens context
200k tokens context
200k tokens context
128k tokens context
128k tokens context
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8k tokens context
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Specifications
AI Evaluation
Built for deep analytical thinking and multi-step problem solving. Excels at tasks requiring careful logical reasoning and systematic analysis.
Pros
- Budget-friendly at $0.07/1M tokens
- 131k token context window
- Advanced logical reasoning
- Optimized for RAG workflows
Cons
- API integration required
- May need prompt tuning
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