GPT OSS Safeguard 20B API
OpenAI
GPT OSS Safeguard 20B
About GPT OSS Safeguard 20B
GPT OSS Safeguard 20B is a language model developed by OpenAI. It's particularly well-suited for orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction, and handling large contexts of up to 128K tokens. Its 128K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context.
As of Oct 1, 2026, GPT OSS Safeguard 20B costs $0.0031 per 1M input tokens and $0.0089 per 1M output tokens on Qubax, versus $0.075 / $0.300 on OpenRouter (96% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.01. Measured availability over the last 7 days: 100.0%. 61 independent compute providers currently serve it, so requests fail over automatically. It handled 51 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 200+ other coins — no credit card required.
Pricing
| Token Type | Qubax | OpenRouter | You Save |
|---|---|---|---|
| Input (per 1M tokens) | $0.0031 | $0.075 | 96% |
| Output (per 1M tokens) | $0.0089 | $0.300 | 97% |
| Cache read (per 1M tokens) | $0.0015 | — | — |
Prices per 1 million tokens. Pay with 200+ cryptocurrencies. Cache read is the discounted rate providers offer for repeated prompt prefixes.
Price History (60 Days)
This model's price over the last 60 days. Compare against all top AI models →
Estimated Monthly Cost
Specifications
Use Cases
Capabilities
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="qbx_live_YOUR_API_KEY",
)
response = client.chat.completions.create(
model="openai-gpt-oss-safeguard-20b",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.qubax.ai/v1",
apiKey: "qbx_live_YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "openai-gpt-oss-safeguard-20b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.qubax.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer qbx_live_YOUR_API_KEY" \
-d '{
"model": "openai-gpt-oss-safeguard-20b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Get your API key from the dashboard.
Why use GPT OSS Safeguard 20B on Qubax?
96% Cheaper
Up to 96% off OpenRouter prices
Pay with Crypto
200+ coins (BTC, ETH, SOL, USDT, USDC & more). No credit card needed.
OpenAI Compatible
Drop-in replacement. Works with Cline, Cursor, any tool.
More from OpenAI
Compare GPT OSS Safeguard 20B with alternatives
| Model | Provider | Input / 1M | Output / 1M | vs GPT OSS Safeguard 20B |
|---|---|---|---|---|
| GPT OSS Safeguard 20B | OpenAI | $0.0031 | $0.0089 | — |
| MiniMax M2.1 | MiniMax | $0.0045 | $0.018 | More expensive |
| DeepSeek V4.1 Flash | DeepSeek | $0.0045 | $0.075 | More expensive |
| Gemini 3.1 Flash Lite | $0.0038 | $0.022 | More expensive | |
| Gemma 4 E2B | $0.0018 | $0.0035 | Cheaper |
Frequently Asked Questions
How much does the GPT OSS Safeguard 20B API cost?
On Qubax, GPT OSS Safeguard 20B costs $0.0031 per 1M input tokens and $0.0089 per 1M output tokens. This is 96% cheaper than OpenRouter's price of $0.075 per 1M input tokens.
Is the GPT OSS Safeguard 20B API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use GPT OSS Safeguard 20B as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is GPT OSS Safeguard 20B cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 96% cheaper than OpenRouter's price for GPT OSS Safeguard 20B.
How do I pay for GPT OSS Safeguard 20B API usage?
Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. No credit card required. Top up from $3.
What is the context window of GPT OSS Safeguard 20B?
GPT OSS Safeguard 20B supports a context window of 128K tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with GPT OSS Safeguard 20B?
GPT OSS Safeguard 20B is versatile enough for a wide range of applications. You can use it to build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines, process long documents and entire codebases, and more. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast is GPT OSS Safeguard 20B on Qubax?
GPT OSS Safeguard 20B on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity. Qubax routes requests through an intelligent routing layer, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.
GPT OSS Safeguard 20B vs MiniMax M2.1: which should I choose?
GPT OSS Safeguard 20B by OpenAI and MiniMax M2.1 by MiniMax are both strong models in a similar price tier. GPT OSS Safeguard 20B is well-suited for general-purpose language tasks. MiniMax M2.1 comes from a different lab and may have different strengths depending on your workload. On Qubax, GPT OSS Safeguard 20B starts at $0.0031/1M input tokens versus MiniMax M2.1's $0.0045/1M — making GPT OSS Safeguard 20B the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use GPT OSS Safeguard 20B for commercial projects?
Yes. GPT OSS Safeguard 20B on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
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