HomeQwen3.5-Max Preview Tops LMArena as China's AI Models Reach Global Front Rank
On March 20, the latest rankings from the authoritative large model blind test platform LMArena revealed that Alibaba's newest flagship preview model in the Qwen series, Qwen3.5-Max-Preview, delivered exceptional performance. Scoring 1464 points, it secured a top-tier position. This achievement not only shattered previous records for domestic models but also outperformed leading overseas models like GPT5.4, Claude4.5, and Grok4.1 across multiple dimensions. This milestone signifies that China's self-developed large models have officially reached the global top tier in general capabilities, ending the era where a few overseas tech giants dominated the highest echelons.
During these blind tests, Qwen3.5-Max-Preview showcased superior logical reasoning and instruction-following skills, significantly surpassing domestic competitors such as Douluo 2.0, GLM5, and Kimi 2.5. Additionally, LMArena published global rankings for large model companies, highlighting a surge in Chinese AI strength. Five of the top ten global companies are Chinese, with Alibaba ranking in the global top five and leading in China. ByteDance, Zhipu AI, Moonshot (Yuedao Dark Face), and Baidu also maintain their spots in the top ten.
The global AI landscape has shifted from competing on parameter counts to evaluating performance based on real user preferences. Domestic models, led by Qwen, are strengthening their technological influence within the global developer community through rapid iterations and algorithmic optimizations. This evolution from isolated breakthroughs to systematic leadership indicates that domestic models are reshaping the global AI computing and application landscape, providing robust technical support for the deep integration of industry-level large models in the future.
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On March 20, the latest rankings from the authoritative large model blind test platform
During these blind tests, Qwen3.5-Max-Preview showcased superior logical reasoning and instruction-following skills, significantly surpassing domestic competitors such as Douluo 2.0, GLM5, and Kimi 2.5. Additionally,
The global AI landscape has shifted from competing on parameter counts to evaluating performance based on real user preferences. Domestic models, led by Qwen, are strengthening their technological influence within the global developer community through rapid iterations and algorithmic optimizations. This evolution from isolated breakthroughs to systematic leadership indicates that domestic models are reshaping the global AI computing and application landscape, providing robust technical support for the deep integration of industry-level large models in the future.
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