Qwen AI Hits Key Milestones: 20M+ College Admission Reports, Alibaba Integration, and Walmart Partnership
Qwen AI, Alibaba's core large language model, has achieved significant breakthroughs—surpassing 20 million free college admission reports, receiving...
Qwen AI, Alibaba's flagship large language model, has made notable strides across multiple sectors in late June 2026, with impacts ranging from education to retail and tech innovation.
By June 29, Qwen's free college admission report service had generated over 20 million personalized plans for high school graduates, helping to bridge information gaps in the complex application process. Students praised its user-friendly interface, while college admission advisors recommended combining AI-generated suggestions with direct consultations with admissions offices for enhanced accuracy. This service was widely used in regions like Chongqing and Zhejiang, where application deadlines fell on June 30.
Alibaba's half-year AI business integration, announced on June 30, further strengthened Qwen's ecosystem. The company launched cutting-edge models including Qwen3.7-Max (with advanced agent coding capabilities), video generation model HappyHorse 1.1, and interactive world model HappyOyster 1.0. Additionally, Alibaba established the Token Hub business group and launched the Wukong platform to provide AI-native agent services to enterprises. Qwen, as the core model, will receive increased technical and resource support from these initiatives.
Qwen is also expanding into retail: Walmart integrated its AI shopping assistant Sparky into Qwen (alongside ChatGPT, Gemini, and Doubao), allowing users to input purchasing needs via Qwen and sync their Walmart accounts to complete transactions. This move aligns with Walmart's strategy to adapt to AI-driven shifts in consumer entry points, as emphasized by its new CEO.
Policy support from China's State Council has further boosted Qwen's growth. The June 29 executive meeting called for accelerated AI innovation, key technology breakthroughs, and the construction of super-large intelligent computing clusters. This policy provides a strong foundation for Qwen's technical iteration and computing power support, reflected in the June 30 surge of computing power rental stocks—Runjian Co., Ltd. and Hengrun Co., Ltd. both hit their daily trading limits.
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