Day Zero Support For Openai Open Safety Model

Day  Zero Support for OpenAI Open Safety Model | Groq is fast, low cost inference. 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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