In April 2023, Alibaba Cloud was quietly handing out invitation codes for a chatbot called 'Tongyi Qianwen,' a name that roughly translates to 'truth from a thousand questions.'
Four days later, then-CEO Daniel Zhang unveiled it publicly at the Alibaba Cloud Summit in Beijing.
It was Alibaba's answer to the ChatGPT wave, arriving quickly but without the massive media spectacle rivals brought.
Here's the part that matters: that modest project, now known as Qwen, grew into one of the largest open-weight model families in the world.
Three and a half years later, the descendant of that simple chatbot ships open weights with 2.4 trillion parameters. Think about that gap, going from an invite-only experiment to something rivaling the most powerful models on the planet.
This journey isn't just about bigger numbers. It's a strategic bet that Alibaba wants to be a central player in the global open-source AI ecosystem, not just in the Chinese market.
And that raises a real question: when a company this large open-sources a model this massive, does it accelerate innovation for everyone, or does it just raise the bar so high that smaller teams struggle to keep up?
The story isn't over. Every new Qwen release adds another chapter to the open AI race.
🔗 Original Source & Reference: https://www.marktechpost.com/2026/10/04/the-story-of-qwen-alibabas-ai-models-from-7b-to-2-4t/
Published automatically via FeedMind AI Content Pipeline.
Top comments (0)