China’s AI competition with the United States has gained fresh momentum as Alibaba introduced Qwen 3.8, its latest next-generation AI model. Unveiled at the World AI Conference (WAIC) in Shanghai, the company claims the model ranks just behind Anthropic’s Claude Fable 5 in overall performance, highlighting the rapid progress of Chinese AI development.
Qwen 3.8 features 2.4 tn parameters, a key measure of an AI model’s complexity. According to Alibaba, the model delivers significant improvements over Qwen 3.7 Max across coding, reasoning, full-stack software development, data analysis, and office workflows. A preview is already available through Alibaba’s Token Plan subscription service and its Qoder and QoderWork platforms. The company also confirmed that Qwen 3.8 will soon be released as an open-weight model, giving developers access to its learned parameters while keeping its training data and source code proprietary.
The announcement follows the recent launch of Kimi K3 by Beijing-based Moonshot AI. With 2.8 tn parameters, Kimi K3 is currently the world’s largest open-source AI model. Moonshot claims the model achieved frontier-level performance across multiple benchmarks and outperformed Anthropic’s Claude Fable 5 and OpenAI’s GPT-5.6 Sol in software development and long-horizon engineering tasks. However, these results are based on the company’s own testing and have not been independently verified.
Similarly, Alibaba’s claim that Qwen 3.8 outperforms Kimi K3 has not yet been validated through independent benchmark evaluations.
Despite the competing claims, both launches reflect a broader shift in the global AI landscape. Chinese AI companies have entered the multi-trillion-parameter era and are now benchmarking their models directly against leading AI developers, including Anthropic, OpenAI, and Google.
The announcements also carried broader strategic significance. Chinese President Xi Jinping attended the World AI Conference in person and said China remains committed to “encouraging open source, openness, collaboration and sharing,” adding that such an approach would help ensure “all sectors and businesses can benefit from AI.”
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