Quen 3: A New Era of AI — Hybrid Thinking, 119 Languages, and Agentic Capabilities

In this episode, we dive into the latest breakthrough in the world of Artificial Intelligence — Quen 3, a powerful new large language model (LLM) that could fundamentally transform how we build and apply AI.AI is evolving at a dizzying pace, and among the flood of new models, it’s hard to tell which ones truly matter. That’s why today we break down Quen 3: what makes it special, what innovations it brings, and why it’s worth exploring for anyone interested in the future of technology.🔹 Hybrid Thinking in Quen 3 is a real revolution. The model can dynamically switch between two modes: "thinking mode" for complex, step-by-step reasoning tasks and "quick answer mode" for simple factual queries. This unique ability to manage its computational resources ("thinking budget management") allows Quen 3 to optimize the balance between processing cost and output quality, making it ideal for resource-constrained environments or high-volume processing.🔹 Support for 119 languages opens up global opportunities. Quen 3 isn’t just translating — it creates and processes content across a vast range of languages, including major Indo-European languages (English, Spanish, Hindi) and Sino-Tibetan languages (Simplified and Traditional Chinese, Cantonese, Burmese). This breakthrough dismantles language barriers and dramatically expands access to educational, healthcare, and commercial resources worldwide.🔹 Agentic capabilities have been significantly enhanced. Quen 3 can now not only generate text but actively interact with external tools via the MCP (Meta Control Protocol) standard. This means performing tasks like coding, debugging, and automating processes — unlocking new levels of AI autonomy.We also cover in detail:The staggering volume of training data — 36 trillion tokens;The three-stage pretraining process and four-stage posttraining designed to deeply refine reasoning and decision-making;Access through popular platforms like Hugging Face, Kaggle, and ModelScope;Easy-to-use local deployment tools such as LM Studio, llama.cpp, Alama, and mlx;The soft thinking switch — a simple way to dynamically control the model’s reasoning behavior within conversations using special tags without modifying any code.Moreover, we discuss the ambitious future plans for Quen 3: extending the already impressive 32K context window, adding multimodal capabilities (working with not just text, but also images and possibly audio), and advancing agent training techniques for dynamic, goal-driven environments.Quen 3 isn’t just another LLM. It marks a new phase in AI evolution — blending deep reasoning, instant responses, multilingual fluency, and true agent-like behavior.This episode is essential for:AI and app developers,Machine learning researchers,Startup founders working with AI technologies,Businesses looking to optimize processes through AI,Anyone interested in how AI is reshaping human interaction and future innovation.Tune in now to discover how Quen 3 is redefining the rules of Artificial Intelligence!Read more: https://qwenlm.github.io/blog/qwen3/

There are no comments yet.

Please log in to write the first comment.