Day Zero Support for OpenAI Open Safety Model

Fast and Affordable AI Inference For the World’s Latest Open Safety Model

We’re excited to announce the availability of GPT-OSS-Safeguard-20B on GroqCloud, providing day zero, on‑demand access to OpenAI’s newest open‑source model running at over 1000 t/s. This first‑of‑its‑kind open‑weight reasoning model is purpose-built for safety‑classification workloads and lets you bring your own policy to production in minutes.

What is GPT‑OSS‑Safeguard‑20B?

  • Fine‑tuned from OpenAI’s GPT‑OSS-20B
  • Built for safety use cases
  • Safety‑first reasoning – trained to follow explicit, user‑provided policies and to explain its decisions.

In short, GPT-OSS-Safeguard-20B provides a reasoned classifier instead of a raw score, making debugging and compliance far easier.

Core Features for Trust & Safety Teams Enabled on GroqCloud

  • Bring Your Own Policy: Load any taxonomy, definition set, or threshold you own. The model will reason against it, letting you enforce exactly the rules that matter to your product.
  • Configurable Reasoning Effort (low / medium / high): Trade latency for depth of analysis on a per‑request basis.
  • Full Reasoning Trace: The model returns its chain‑of‑thought, giving you visibility into how a decision was reached (not for end‑users, but invaluable for audit logs and debugging).
  • Prompt Caching: Re‑use the same policy prompt across millions of calls, significantly reducing latency and cost with up to 50% discount on cached tokens.
  • 128k Token Context Window: Process long documents, policy bundles, or multi‑turn conversations.

Delivering Price-Performance

Groq's purpose-built stack is designed to deliver low cost per token for OpenAI’s new safeguard model while maintaining speed and accuracy. With GPT-OSS-Safeguard-20B available on GroqCloud, developers can run cutting-edge AI safety workloads tailored to their specific use case while keeping costs low and latency predictable.

openai/gpt-oss-safeguard-20b is currently running at 1000+ t/s on GroqCloud at the same price as the base GPT-OSS-20B model: $0.075 / M input tokens and $0.30 / M output tokens.

Example Use Cases

GPT‑OSS‑Safeguard‑20B’s flexibility and bring your own policy capabilities make it a natural fit for many real‑world safety scenarios. Below are a few examples that illustrate how you can leverage the model in various applications.

  • Enterprise Document Scanning: Define policies for confidential data (PII, PHI, financial info). Feed PDFs, emails, or contracts to the model; it flags violations and explains why.
  • AI‑Powered Chatbots: Embed a safety policy in the system prompt of a conversational agent. The model blocks or rewrites unsafe user inputs before they reach the base model.
  • Automated Policy Auditing: Feed existing moderation rules into the model as “policy‑in‑policy” and ask it to suggest gaps, contradictions, or improvements.
  • User‑Generated Content Platforms: For forums, review sites, or marketplaces, run each new listing/comment through the model with a policy that captures fraud, prohibited items, or deceptive language.

Get Started with GPT-OSS-Safeguard-20B On GroqCloud

Try openai/gpt-oss-safeguard-20b via the GroqCloud Developer Console, available in the Playground and the API.

To learn more about content moderation and best practices, check out our developer documentation.


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