OpenAI: gpt-oss-safeguard-20b API Pricing
Live token cost for OpenAI: gpt-oss-safeguard-20b from OpenAI. Use the figures below for budgeting, then tune your exact request mix in the interactive calculator. Prices refresh every 24 hours from OpenRouter.
Capabilities
OpenAI: gpt-oss-safeguard-20b cost at scale
Estimated monthly cost across common production volumes. Assumes 30-day months and the request shapes shown.
| Tier | Requests / day | In / out tokens | $ / month |
|---|---|---|---|
| Hobby | 1,000 | 500 / 200 | $2.93 |
| Startup | 10,000 | 1,500 / 500 | $78.75 |
| Growth | 100,000 | 3,000 / 800 | $1,395.00 |
| Enterprise | 1,000,000 | 8,000 / 2,000 | $36,000.00 |
| Enterprise (batch mode) | 1,000,000 | 8,000 / 2,000 | $18,000.00 |
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Frequently asked questions
How much does OpenAI: gpt-oss-safeguard-20b cost?
OpenAI: gpt-oss-safeguard-20b costs $0.07 per 1M input tokens and $0.30 per 1M output tokens, with cached input at $0.04 per 1M tokens. A typical 1,500-token in / 500-token out request costs $0.00026.
Does OpenAI: gpt-oss-safeguard-20b support cached input?
Yes. OpenAI: gpt-oss-safeguard-20b supports prompt caching at $0.04 per 1M cached input tokens. Reuse the same system prompt or context across requests to cut input cost dramatically.
What is the OpenAI: gpt-oss-safeguard-20b context window?
OpenAI: gpt-oss-safeguard-20b supports a context window of 131,072 tokens (131K). Max output per response is 65,536 tokens.
What is OpenAI: gpt-oss-safeguard-20b good for?
OpenAI: gpt-oss-safeguard-20b is a good fit for general-purpose LLM tasks via the OpenAI API — chat, code, writing, summarization. For other use cases, run your specific input/output mix through the interactive calculator to compare against alternative models.