gpt-oss-safeguard-20b

gpt-oss-safeguard-20b by OpenAI excels in the Coding category, where it ranks #95 with a composite score of 53/100. 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). It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

gpt-oss-safeguard-20b is priced at $0.07 per million input tokens and $0.30 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, gpt-oss-safeguard-20b holds rank #95 out of 6 models tracked. Its quality rank is #95 and adoption rank is #95. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

gpt-oss-safeguard-20b has been evaluated across 6 different signals. Its strongest areas include Capabilities (57/100), Context Window (81/100), Output Capacity (80/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 53/100 reflects a weighted combination of all tracked signals.

gpt-oss-safeguard-20b is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.