OpenAI: gpt-oss-safeguard-20bopenai
OpenAI: gpt-oss-safeguard-20b: $0.07/1M input, $0.30/1M output, 131K context. 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...
API Pricing (per 1M tokens)
| Input | $0.07 |
| Output | $0.30 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.13 |
Specs & Performance
| Context Length | 131K |
| Max Output | 66K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text → text |
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FAQ
How much does the OpenAI: gpt-oss-safeguard-20b API cost?
OpenAI: gpt-oss-safeguard-20b costs $0.07/1M input tokens and $0.30/1M output tokens. Blended cost at a 3:1 ratio is about $0.13/1M tokens.
What is the context window of OpenAI: gpt-oss-safeguard-20b?
OpenAI: gpt-oss-safeguard-20b supports a 131K token context window with up to 66K output tokens.
Is OpenAI: gpt-oss-safeguard-20b worth it?
OpenAI: gpt-oss-safeguard-20b has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.