The competition to bring powerful AI models directly to consumer devices is intensifying, with Alibaba introducing a new model designed to run on hardware such as laptops. The Chinese technology company has also released the weights of its most powerful model as it looks to strengthen its position in open-weight AI.
Alibaba launched Qwen3.8-27B, saying the model offers “excellent capabilities” in coding, professional work, research and long-horizon agentic tasks. The company said its performance matches that of another model that is 10 times larger.
Alibaba also released the weights of Qwen3.8 Max, its most powerful model. This means developers can download and run the model freely. However, the data and methods used to train it may remain undisclosed.
The move comes after Meta announced plans to open-source its most powerful AI model and introduce new models designed to run on laptops. Meta is seeking to strengthen its position as a US alternative to Chinese AI companies, while OpenAI and Anthropic continue to follow a more proprietary approach.
Alibaba has emerged as a major player in open-weight AI, alongside Chinese companies such as DeepSeek and Moonshot. Meta entered the space early with its Llama models but was later overtaken by Chinese developers in the open-weight segment. Its latest plans include Muse Glimmer, an open-source model family designed for laptops.
“Meta’s own re-embrace of open weights … was itself a response to two years of Chinese labs … taking a large share” of the open-weight market, Nick Patience, AI lead at the Futurum Group, told a media outlet.
The popularity of open-weight models is often measured by downloads and how widely developers use them to create products.
Hugging Face said Qwen-based models had 151,448 derivatives last week, which it said was 2.6 times Meta’s total footprint. “The company which can offer the most capable open weights models will move ahead in this race,” Neil Shah, co-founder at Counterpoint Research, said.
“Alibaba aims to become this undisputed leader, outpacing Meta and eyeing the global market … as a strong alternative to Silicon Valley frontier-grade deployable models.”
The launch of Qwen3.8-27B also points to growing expectations that advanced AI models will increasingly operate on the “edge” instead of relying entirely on data centers. On-device AI could offer faster performance and greater security because models run directly on devices such as phones and laptops.
Shah said the “next battleground” for AI models is on-device performance. Patience added that Alibaba has built an advantage across open-weight and on-device AI.
“Alibaba has made Qwen the most credible non-US model family to build hardware relationships around, in China and in the open-weight developer community globally,” Patience said.
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