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    🇨🇳中國·AI 新聞·2026年6月24日·來源: SCMP

    Alibaba cuts Qwen AI model costs on Qoder coding platform to capture US workday demand

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    Alibaba Group Holding has significantly reduced the cost of its flagship Qwen AI models, Qwen3.7-Max and Qwen3.7-Plus, by up to 80 percent on its Qoder agentic coding platform. This aggressive pricing strategy targets international developers, particularly during US workday hours (10pm to 8am Beijing time), aiming to attract a global user base. The move positions Alibaba to directly compete with established AI players like Anthropic and Zhipu AI, as it seeks to expand its footprint in the rapidly evolving AI development landscape. This initiative underscores Alibaba's commitment to making its advanced AI capabilities more accessible and competitive on a global scale.

    Nexa 摘要

    Alibaba's drastic price cuts for its Qwen AI models on the Qoder platform represent a significant strategic maneuver within Asia's competitive AI ecosystem. By offering substantial discounts, particularly targeting US workday demand, Alibaba aims to capture a larger share of the global developer market. This move not only enhances the accessibility of its advanced AI tools but also intensifies pressure on rivals, both domestic Chinese firms like Zhipu AI and international players such as Anthropic. The pricing strategy reflects a broader trend in the AI industry where companies are leveraging cost-effectiveness as a key differentiator to drive adoption and establish platform dominance.

    This aggressive pricing could accelerate the adoption of Alibaba's AI models among startups and smaller development teams across Asia and beyond, who might otherwise be constrained by higher costs. It also signals Alibaba's ambition to position itself as a leading provider of foundational AI models, moving beyond its traditional e-commerce and cloud services. The long-term implications include potentially driving down the cost of AI development across the board, fostering innovation, and further solidifying China's role as a major force in global AI research and commercialization.

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