Name: gpt-oss-safeguard-20b API
Brand: OpenAI

Overview

What is gpt-oss-safeguard-20b API?

gpt-oss-safeguard-20b is available through AIMLAPI.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 131,072 tokens / Max output: 65,536 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

gpt-oss-safeguard-20b API Pricing
- Input: $0.0975 / 1M tokens
- Output: $0.39 / 1M tokens

Where to Use gpt-oss-safeguard-20b

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Used for policy-based safety classification, where it reasons over a developer-provided policy to classify user messages, completions, and full chats.

Suited to lightweight content moderation and guardrail tasks in lower-latency or constrained environments.

Used for online content labeling, including classifying posts, messages, or media metadata for policy violations.

Used for offline batch labeling or review workflows, including moderation queues and trust-and-safety pipelines.

How to use gpt-oss-safeguard-20b API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-oss-safeguard-20b.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-oss-safeguard-20b",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-oss-safeguard-20b",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-oss-safeguard-20b","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.