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gpt-oss-safeguard-20b

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gpt-oss-safeguard-20b is an OpenAI safety reasoning model built on gpt-oss-20b, a 21B-parameter open-weight mixture-of-experts model. It follows a safety policy you provide to classify content, filter LLM inputs and outputs and support trust-and-safety labeling with low latency.

料金: 入力:100 万トークンあたり 18 クレジット(約 $0.09)、出力:100 万トークンあたり 72 クレジット(約 $0.36)。

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このデモページにはクライアントの完全な記憶機能はありません。すべての機能をご利用いただくには、クライアントまたは CLI から接続してください。

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README
gpt-oss-safeguard-20b の使い方ガイド

gpt-oss-safeguard-20b API on ModelFold

gpt-oss-safeguard-20b is an OpenAI safety reasoning model built on gpt-oss-20b, a 21B-parameter open-weight mixture-of-experts model. It follows a safety policy you provide to classify content, filter LLM inputs and outputs and support trust-and-safety labeling with low latency. Try gpt-oss-safeguard-20b in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the gpt-oss-safeguard-20b API

gpt-oss-safeguard-20b at a glance

gpt-oss-safeguard-20b is a chat model from OpenAI. It accepts text as input and returns text, with a context window of up to 131K tokens.

Use it without hosting anything

On ModelFold you call gpt-oss-safeguard-20b with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of gpt-oss-safeguard-20b

Up to 131K tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Function calling

gpt-oss-safeguard-20b supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

Reasoning mode

gpt-oss-safeguard-20b can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use gpt-oss-safeguard-20b on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how gpt-oss-safeguard-20b responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "gpt-oss-safeguard-20b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

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    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with gpt-oss-safeguard-20b

Security analysis

Assist with code auditing, vulnerability triage and reviewing configurations as part of security workflows.

Enterprise workflows

Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Frequently Asked Questions

What is gpt-oss-safeguard-20b?⌄

gpt-oss-safeguard-20b is an OpenAI safety reasoning model built on gpt-oss-20b, a 21B-parameter open-weight mixture-of-experts model. It follows a safety policy you provide to classify content, filter LLM inputs and outputs and support trust-and-safety labeling with low latency.

Which inputs does gpt-oss-safeguard-20b support?⌄

gpt-oss-safeguard-20b accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.

How long is the context window of gpt-oss-safeguard-20b?⌄

Up to 131K tokens, shared between your input and the model’s output.

Does gpt-oss-safeguard-20b support function calling?⌄

Yes. gpt-oss-safeguard-20b supports tools / function calling through the standard tools parameter of the chat completions API.

How is gpt-oss-safeguard-20b billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call gpt-oss-safeguard-20b through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gpt-oss-safeguard-20b", using your ModelFold API key as the Bearer token.

料金表
入力18 クレジット 1M tokens≈ $0.09
出力72 クレジット 1M tokens≈ $0.36

トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。

API ドキュメントを見る →AI Agents · Claude Code / Cursor / Trae →
クイックスタート
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-oss-safeguard-20b","messages":[{"role":"user","content":"Hello"}]}'