Alibaba's new flagship model Qwen3.8-Max is built to handle complex tasks on its own over days at a time, from reproducing research papers to designing chips autonomously. The team plans to release the weights next week.
Alibaba's Qwen team has unveiled Qwen3.8-Max, its most capable language model to date. The model scales to 2.4 trillion total parameters, with 95 billion active per query. Qwen3.8-Max builds on the Qwen3.5 architecture, and the team says the focus is on completing complex tasks independently over extended periods rather than just answering one-off prompts.
Alibaba first announced the model in mid-July as a preview version available through Alibaba's Token Plan, Qoder, and QoderWork at ten percent of the standard price. Even then, the team cited 2.4 trillion parameters and ranked the model just behind Fable 5, but didn't share benchmarks. Qwen3.8-Max is the first model in the Qwen-Max class whose weights will be made publicly available.
Three autonomous coding runs put the model through its paces
To show off Qwen3.8-Max's coding chops, the team presented three case studies in which the model worked without any human help.
