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 […] The post Alibaba debuts Qwen3.8-Max model…
Alibaba Group Holding Ltd. unveiled its latest open-source large language model, Qwen3.8-Max, boasting an impressive 2.4 trillion parameters, seven times greater than its February release, Qwen3.5. This new model can process up to 1 million tokens in prompts, enabling it to analyze more than 200 pages of text or 100 hours of footage per request.
Developed by leveraging Nvidia's Gated DeltaNet attention mechanism, this model can respond with up to 131,000 tokens and scales linearly as prompt size increases, reducing hardware usage. Alibaba tested Qwen3.8-Max across various tasks, including a 16-day coding project and a chip design optimization requiring over 500 steps, scoring 1,668 points on a benchmark measuring LLM skills in interface development.
This performance puts it just 37 points behind Anthropic PBC's latest model, Claude Opus 5. Qwen3.8-Max is currently available on Alibaba's cloud platform and will be open-sourced next week, alongside a more hardware-efficient version called Qwen3.8-27B.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
This story
This is one outlet's version. Read the fullest account.
