by ·
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).
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Capabilitiesjust now | 67 | 30% | +20.0 |
| Recencyjust now | 100 | 15% | +15.0 |
| Context Windowjust now | 81 | 15% | +12.2 |
| Output Capacityjust now | 80 | 15% | +12.0 |
| Pricingjust now | 0 | 25% | +0.1 |
Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.
Share your experience with gpt-oss-safeguard-20b and help the community make better decisions.
Cost Estimator
You save $40.55/month vs category average