Source details
- Original source
- Matthew Berman
- Published
- 2026-07-19
- Primary topic
- Foundation Models
Why it matters
Model launches, benchmark jumps, API upgrades, context window changes, and frontier LLM competition. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.
What happened
Another frontier open source model from China. Incredible work by the Qwen team. Time to compete. Qwen (@Alibaba_Qwen) Qwen3.8 is launching and going open-weight soon!š With a massive 2.4T parameters, this model is continuously evolving. We believe itās one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibabaās Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! š Token Plan internationalļ¼ qwencloud.com/pricing/token-⦠Chinaļ¼ platform.qianwenai.com/prici⦠ā https://nitter.net/Alibaba_Qwen/status/2078759124914098291#m
What to do next
Compare the hosted model pages first, then check the related tools and buyer guides before changing workflow standards.
Another frontier open source model from China. Incredible work by the Qwen team. Time to compete. Qwen (@Alibaba_Qwen) Qwen3.8 is launching and going open-weight soon!š With a massive 2.4T parameters, this model is continuously evolving. We believe itās one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibabaās Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! š Token Plan internationalļ¼ qwencloud.com/pricing/token-⦠Chinaļ¼ platform.qianwenai.com/prici⦠ā https://nitter.net/Alibaba_Qwen/status/2078759124914098291#m
This AimostAll brief summarizes the linked source so readers can scan AI developments quickly and jump to the original reporting when needed.