Qwen3Guard: Real-time Safety for Your Token Stream
Qwen
Alibaba released Qwen3Guard, a safety guardrail model designed to detect and classify harmful content in both user prompts and AI responses across multiple languages. The model achieves state-of-the-art results on major safety benchmarks for classification tasks in English, Chinese, and other languages. Organizations can now use this tool to implement real-time content moderation for their AI systems.
Why it matters
Tech Report GitHub Hugging Face ModelScope DISCORD Introduction We are excited to introduce Qwen3Guard, the first safety guardrail model in the Qwen family. Built upon the powerful Qwen3 foundation models and fine-tuned specifically for safety classificatoin, Qwen3Guard ensures responsible AI interactions by delivering precise safety detection for both prompts and responses, complete with risk levels and categorized classifications for accurate moderation. Qwen3Guard achieves state-of-the-art performance on major safety benchmarks, demonstrating strong capabilities in both prompt and response classification tasks across English, Chinese, and multilingual environments.