OpenAI: gpt-oss-safeguard-20b
Analysis Summary
OpenAI's gpt-oss-safeguard-20b is a text-only model with tool use, function calling, and a 131K context window. Its low pricing supports economical deployment for repeated calls, and the product positioning suggests a focused role in safety-related or controlled processing. However, no reasoning, coding, instruction-following, or agentic benchmark data is provided.
It may fit policy checks, content screening, routing, structured review, and other workflows with clear labels and measurable outputs. It should not be selected as a general content writer, coding assistant, or autonomous agent without direct task testing. The absence of capability evidence makes reliability difficult to assess for broader client work.
Use it for narrowly scoped safeguard and classification workflows, with a stronger model handling generation or complex decisions.
Assessed August 9, 2026
Editorial notes
gpt-oss-safeguard-20b provides low-cost text processing with tool and function calling and a 131K context window. It has no reported capability benchmarks, so its suitability beyond safety or narrowly defined automation is unverified.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
gpt-oss-safeguard-20b provides low-cost text processing with tool and function calling and a 131K context window. It has no reported capability benchmarks, so its suitability beyond safety or narrowly defined automation is unverified.
How OpenAI: gpt-oss-safeguard-20b compares
Its 131K-token context window is larger than 51% of the models we list. At $0.08 per million input tokens it is cheaper than 73% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000075 |
| Output | $0.30 | $0.000300 |
What would OpenAI: gpt-oss-safeguard-20b cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: gpt-oss-safeguard-20b for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
Frequently asked questions about OpenAI: gpt-oss-safeguard-20b
How much does OpenAI: gpt-oss-safeguard-20b cost?
OpenAI: gpt-oss-safeguard-20b costs $0.08 per million input tokens and $0.30 per million output tokens.
What is the context window of OpenAI: gpt-oss-safeguard-20b?
OpenAI: gpt-oss-safeguard-20b has a context window of 131,072 tokens (131K).
What can OpenAI: gpt-oss-safeguard-20b do?
OpenAI: gpt-oss-safeguard-20b supports tool use and function calling.
Who created OpenAI: gpt-oss-safeguard-20b?
OpenAI: gpt-oss-safeguard-20b is developed by OpenAI and was released on October 29, 2025.
