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OpenAI: gpt-oss-safeguard-20b API Pricing

OpenAI: gpt-oss-safeguard-20b costs $0.075 per 1M input tokens and $0.300 per 1M output tokens (cache reads: $0.037). Context window: 131K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
OpenAI: gpt-oss-20b
$0.018 in / $0.090 out
Quality score: 10

Cheapest openai model — 73% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
21K
HF downloads
282
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.075
Output / 1M tokens
$0.300
Context window
131K
Max output
66K

Token economics

Token typePricevs base input
Standard input$0.075—
Cache read$0.037−50%
Output$0.300—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would OpenAI: gpt-oss-safeguard-20b cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.80
Coding agent5,0008,000 / 2,000$6.00
RAG pipeline30,0004,000 / 500$13.50
Doc summarizer2,00020,000 / 1,000$3.60

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About 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...

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Frequently asked questions

How much does OpenAI: gpt-oss-safeguard-20b cost?

OpenAI: gpt-oss-safeguard-20b costs $0.075 per 1M input tokens and $0.300 per 1M output tokens; cached input tokens cost $0.037 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 66K output tokens per response. That's roughly 164 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.037/1M, about 50% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 79% on a typical workload with comparable quality.

Official resources