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/