Alibaba Launches Qwen3.8-MAX AI Model with 240 Billion Parameters

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Alibaba has launched Qwen3.8-MAX, a 240-billion-parameter AI model, with open-source weights set to be released next week. The model supports autonomous programming and multimodal tasks, including over 10 days of self-evolution and more than 500 rounds of chip design optimization. API pricing is $2.0 per million input tokens and $6.0 per million output tokens. This follows Kimi K3, the second open-source model with over 2 trillion parameters. The announcement brings fresh AI + crypto news and on-chain updates for developers and traders.

ChainCatcher report: According to official announcements, Alibaba has released the Qwen3.8-MAX AI model with 2.4 trillion parameters. The model’s weights will be open-sourced next week, marking the first time the Qwen series has open-sourced a Max-tier model; concurrently, Qwen3.8-27B will also be open-sourced. Qwen3.8-MAX is designed for autonomous programming and multimodal capabilities, capable of completing over 10 days of self-evolving development and optimizing more than 500 rounds of chip design. API pricing is set at $2.0 per million input tokens and $6.0 per million output tokens. This follows Kimi K3 as the second open-source model with over 2 trillion parameters, signaling intensified competition in the open-source ultra-large-scale model space.

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