Alibaba's Qwen Roadmap Targets 5T to 10T Parameters Amid Self-Improving Model Work

At the Apsara Conference, Alibaba's Qwen team outlined a roadmap of Qwen4 followed by Qwen4.5 and Qwen5, aiming for 5T to 10T parameters. The article notes that Qwen3.8 reached 2.4T parameters and that Qwen3.8-Flash activates 6B parameters per inference while cutting training cost to one-ninth. It also describes Qwen3.8-Max running model-driven experiments in chip design and inference optimization, and multimodal updates including a video model slated for November.