gpt-oss-safeguard-20b
VerifiedOpenAI's closed LLM built for safe, reliable text handling.
About gpt-oss-safeguard-20b
The model follows a standard transformer architecture scaled to approximately 20 billion parameters. OpenAI maintains full control over its weights and inference stack, preventing public redistribution. Its extended context length supports processing of lengthy documents while preserving safety constraints throughout generation.
Strengths center on consistent application of content policies without external fine-tuning. The closed nature allows OpenAI to update safeguards centrally in response to emerging risks. This design reduces the chance of misuse compared with openly released weights.
Typical usage includes content moderation pipelines, enterprise chat systems, and any workflow where output must remain within defined safety boundaries. Developers integrate it via OpenAI's API to leverage its native alignment features on long-form text tasks.
Capabilities
How gpt-oss-safeguard-20b compares
gpt-oss-safeguard-20b (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · gpt-oss-safeguard-20b ranks #7 of 34
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Context Safety Analysis
The model processes documents up to 131072 tokens while generating safety-aligned responses, suiting review of lengthy reports or policies that require careful handling of sensitive material.
Multi-Turn Instruction Following
Strong multi-turn conversation and instruction-following abilities support ongoing dialogues such as guided troubleshooting or iterative content refinement with built-in safeguards.
General Text Task Assistance
It handles everyday language tasks like summarization or drafting while prioritizing safety-aligned outputs, fitting professional environments where inappropriate content must be avoided.
Strengths & limitations
Strengths
- +Large 128k token context window
- +Strong safety and refusal mechanisms
- +Efficient inference at 20B scale
Limitations
- –Text modality only
- –Smaller model size caps advanced reasoning depth
- –Safeguards may reduce helpfulness on edge cases
Cost calculator
Estimate what gpt-oss-safeguard-20b would cost for your usage.
Based on gpt-oss-safeguard-20b's $0.07/1M input · $0.30/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-oss-safeguard-20b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-oss-safeguard-20b
Editor's verdict
gpt-oss-safeguard-20b is OpenAI's proprietary language models with a 131K-token context window.
At $0.30 per 1M output tokens, it is very cost-efficient for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to large 128k token context window and strong safety and refusal mechanisms.
Frequently asked questions
The model provides a context window of 131072 tokens for long-context text reasoning.
User reviews
Real, verified reviews from the community shape this model's rating.
Loading reviews…
Similar models
Other language models worth comparing.