OpenAI
gpt-oss-safeguard-20b
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).
- Input / 1M tokens
- $0.075
- Output / 1M tokens
- $0.300
- Context window
- 131K tokens
- Provider
- OpenAI
- Cached input / 1M
- $0.037
Performance
Median streaming throughput and first-token latency measured by Artificial Analysis.
- Output tokens / sec
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- Time to first token
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