Alibaba debuts Qwen3.8-Max model with 2.4T parameters
Alibaba Group Holding Ltd. today debuted a new addition to its Qwen series of open-source large language models.
Qwen3.8-Max is the Chinese e-commerce giant’s most capable LLM to date. It features 2.4 trillion parameters, about seven times more than the Qwen3.5 model that Alibaba released in February. The LLM activates 95 billion of its parameters when answering a query.
Qwen3.8-Max supports prompts with up to 1 million tokens worth of data. According to Alibaba, that enables the model to analyze more than 200 pages of text or about 100 hours of footage per request. Prompt responses contain up to 131,000 tokens.
Alibaba hasn’t yet shared a detailed overview of Qwen3.8-Max’s architecture. Qwen3.5 and Qwen3.6, the previous two entries in the model lineup, shared certain technical properties including a so-called Gated DeltaNet attention mechanism. It’s possible Alibaba’s newest LLM also uses the technology.
