Group 1 - The 2026 CCTV Spring Festival Gala featured a variety of robots performing alongside artists, showcasing advanced skills and technology [3] - The Hong Kong stock market saw a positive close on the last trading day before the Lunar New Year, with the Hang Seng Index rising by 0.52% and AI application stocks experiencing significant gains, such as Haizhi Technology Group increasing nearly 30% [3][4] Group 2 - OpenAI announced the recruitment of Peter Steinberger, founder of the open-source AI agent OpenClaw, indicating a strategic shift towards collaborative AI ecosystems [4] - Alibaba released a new generation of the Qwen 3.5 model, which competes with Gemini 3 Pro, achieving a significant performance leap and reducing API costs to 0.8 yuan per million tokens [4] Group 3 - The demand for GLM-5 has surged, prompting Zhipu to initiate a "computing power partner" recruitment plan to enhance service capabilities [11] - The storage chip price increase is intensifying, with Kioxia predicting a 50% rise in average selling prices starting in Q1 2026 [11] Group 4 - The Hong Kong property market saw a 7.33% increase in prices during the Year of the Snake, marking the largest rise in nearly eight lunar years [8] - The U.S. stock market is expected to experience a significant capital expenditure increase in AI, projected to reach $740 billion in 2026, which may lead to a shift in investment patterns [16]

Core Viewpoint - The 2026 Spring Festival Gala showcased significant AI marketing efforts from major tech companies, highlighting the integration of AI into entertainment and user interaction, with a focus on enhancing audience engagement through innovative technologies [1][3][10]. Group 1: AI Integration in Spring Festival Gala - The gala featured AI elements prominently, with the "Doubao" application playing a central role in various performances and interactions, demonstrating the capabilities of AI in enhancing live events [1][3]. - Doubao's technology supported multiple aspects of the gala, including stage art creation, intelligent robot interactions, and real-time audience engagement through features like live subtitles [3][5][10]. - The gala's use of AI technologies, such as the Seedance 2.0 model, allowed for high-quality visual presentations and complex artistic expressions, showcasing the potential of generative AI in creative fields [4][5]. Group 2: Major Tech Companies' Marketing Strategies - Major companies like ByteDance, Tencent, Alibaba, Baidu, Meituan, and JD.com engaged in extensive marketing campaigns during the Spring Festival, utilizing AI to enhance user experiences and drive engagement [1][6][10]. - Tencent initiated a significant marketing campaign with a 1 billion yuan red envelope giveaway, aiming to replicate the success of previous promotional strategies [6][10]. - Alibaba's "one sentence to order milk tea" campaign achieved rapid success, reflecting the effectiveness of AI in facilitating consumer transactions during the festive season [7][10]. Group 3: Future of AI Applications - The competition among tech giants in the AI space is expected to accelerate, with a focus on applications that deliver clear business value and enhance user experiences [10][11]. - Companies are exploring long-term value in their marketing strategies, aiming to integrate AI into daily life and consumer habits [10][11]. - The ongoing AI flow battle is seen as a critical first step in establishing a competitive landscape for AI applications leading up to 2026 [11].

Core Viewpoint - The article discusses the intense competition among major internet companies during the Spring Festival, particularly focusing on the rise of AI applications and the strategic battles for user engagement and market share in the AI sector [3][4][37]. Group 1: AI Competition Landscape - The Spring Festival has become a battleground for internet giants to compete for traffic, with significant events like the 2015 payment war and the 2020 short video competition [3][4]. - In 2025, a new player, DeepSeek, emerged, surpassing existing applications in daily active users, indicating a shift in the AI market landscape [4]. - By 2026, the competition intensified, with major companies preparing extensively for the Spring Festival, marking it as a critical moment for AI applications [4][5]. Group 2: Model Updates and Innovations - Major companies like Baidu, Alibaba, and ByteDance have updated their AI models recently, with Baidu's Wenxin 5.0 featuring 2.4 trillion parameters and advanced multi-modal capabilities [6][8]. - Alibaba's Qwen3-Max-Thinking model, with over a trillion parameters and 36 trillion tokens of pre-training data, enhances its tool-calling capabilities [8][10]. - ByteDance launched several models, including Seedance 2.0 and Seedream 5.0 Lite, which significantly improved video and image generation capabilities [10][14][15]. Group 3: AI Super Entry Points - Companies are focusing on creating AI super entry points that integrate their core business models, such as Baidu's AI+search and Alibaba's AI+e-commerce [21][25]. - Alibaba's launch of the Qwen APP aims to enhance the e-commerce experience by integrating various services into a single platform [25][28]. - Tencent's Yuanbao group chat feature incorporates AI to enhance user interaction and engagement, including a cash red envelope feature during the Spring Festival [30][32]. Group 4: Cash Incentives and User Engagement - Major companies are investing heavily in cash incentives to attract users, with Tencent announcing a 1 billion yuan cash giveaway and Baidu offering 500 million yuan in red envelopes [35][37]. - The competition for user attention and brand recognition is driving these cash distribution strategies, as companies aim to establish their AI super entry points [37].

Core Insights - Alibaba launched its new AI model Qwen3.5 on February 16, which operates 8 times faster and is 60% cheaper than its predecessor, enhancing its competitive position in the AI market [1] - The Qwen app achieved 10 million downloads in its first week, indicating strong user adoption and interest [1] - Retail investor sentiment around Alibaba has shifted from neutral to bullish, with a sentiment score of 60.6, reflecting increased discussions on platforms like Reddit [1] Group 1: Product and Market Position - Qwen3.5 outperforms competitors such as GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro in benchmark tests, showcasing its advanced capabilities [1] - The model's enhanced "agentic capabilities" allow it to execute complex tasks independently across various applications, positioning Alibaba as a cost-effective alternative in the AI sector [1] - The Chinese government is directing Nvidia H200 chip orders to Alibaba, indicating state support for its AI initiatives [1] Group 2: Financial Performance and Investor Sentiment - Alibaba's shares fell 4.46% in the week leading up to the Q3 FY2026 earnings report, amidst fluctuating retail investor sentiment [1] - Analysts remain positive, with 14 rating the stock as "Strong Buy" and a 12-month price target of $188.69, representing a 21% upside [1] - The stock has gained over 32% in the past year, significantly outperforming the S&P 500, which has only gained approximately 11% [1]

Quick Read Alibaba (BABA) launched Qwen3.5 on Feb 16. It runs 8x faster and costs 60% less than the prior version. Alibaba’s Qwen app reached 10 million downloads in its first week. The CEO warned Alibaba’s near-term profitability will fluctuate from heavy AI investments. A recent study identified one single habit that doubled Americans’ retirement savings and moved retirement from dream, to reality. Read more here. Over the past week, shares of Alibaba (NYSE:BABA) fell 4.46%, coinciding with a ...

Core Insights - The 2026 Spring Festival marks a pivotal moment for China's AI industry, transitioning from technical experimentation to widespread public adoption [1][5] - Major tech companies like Alibaba and ByteDance have emerged as leaders in this competitive landscape, showcasing differentiated strategies and impressive operational metrics [1][5] Industry Overview - The Spring Festival AI competition has shifted from merely attracting users to cultivating habits and implementing practical applications, with Alibaba and ByteDance leading the way [5][6] - The competition has resulted in a dual development path for China's AI industry: Alibaba focuses on consumer-oriented applications, while ByteDance emphasizes content creation and innovation [6][18] Alibaba's Performance - Alibaba's Qwen 3.5-Plus model was released on New Year's Eve, achieving the status of the world's strongest open-source model, comparable to Gemini 3 Pro [1][8] - During the Spring Festival, over 1.3 billion AI-assisted transactions were completed, with users making 50 billion requests to the Qwen app, demonstrating its widespread adoption [1][5][12] Technological Breakthroughs - The Qwen 3.5-Plus model features a total of 397 billion parameters, with a significant performance improvement over previous models, achieving a 19-fold increase in inference throughput [10][11] - The model's API pricing is significantly lower than competitors, at 0.8 yuan per million tokens, making it more accessible for developers [10][11] Ecosystem Integration - Alibaba's extensive ecosystem, including platforms like Taobao and Alipay, enables seamless integration of AI into everyday tasks, enhancing user experience and driving rapid habit formation [11][15] - The Spring Festival saw a 372-fold increase in AI-assisted movie ticket purchases, highlighting the model's effectiveness in real-world applications [11][12] Competitive Landscape - The emergence of Alibaba and ByteDance as "dual kings" in the AI sector signifies a shift in China's AI industry towards original exploration, moving away from merely following Silicon Valley [18][19] - The competition between these two companies fosters a healthy industry environment, encouraging innovation and diverse development paths [18][19]

作者 | 贝隆行业研究 数据支持 | 勾股 大数 据（www.gogudata.com） 2026 年春节，成为中国 AI 产业从技术实验室走向全民生活的关键分水岭。 阿里、 腾讯、 字节跳动 等科技大厂纷纷祭出红包补贴、 应用推出、 功能上新等招式，在 AI 赛 道展开百花齐放的春节争夺战。而阿里与字节跳动凭借差异化的战略布局、现象级的应用表现和亮 眼的运营数据，在这场竞争中突围而出，站上中国科技春晚的塔尖 。 除夕 当天 下午 ， 阿里巴巴开源全新一代大模型千问 Qwen3.5-Plus ，性能媲美 Gemini 3 Pro ，登顶全球最强开源模型。 初一 凌晨 ， 千问 APP 发布的数据显示，春节活动期间，全国超过 1.3 亿人第一次体验 AI 购 物，说了 50 亿次 " 千问帮我 " ，千问一跃成为国民级 AI 助手。 图片 来源 ： 公开 资料 阿里 AI 由此在这个春节完成双线爆发：模型全球开源最强， APP 在应用战场狂飙前进。 春节 AI 大战百舸争流 01 当 AI 技术从实验室走向大众生活， 2026 年春节成为各大科技企业争夺用户心智的主战场。 腾讯元宝推出 10 亿元现金红包活动， ...

Core Insights - Alibaba has released its new model Qwen 3.5, which is noted for its significant advancements in architecture and performance, establishing itself as a leader in the open-source model space [1][2] - The Qwen 3.5-Plus model has 397 billion parameters, a decrease from the previous flagship model Qwen 3-Max, which had one trillion parameters, yet it achieves performance levels comparable to Gemini 3 Pro with less than 40% of the parameters [2] - The model utilizes only 5% of its computational resources for each response, resulting in a token cost that is 1/18th of that of Gemini 3 Pro, showcasing its efficiency [2] Model Advancements - Qwen 3.5-Plus incorporates a gating technology that has been recognized at a global AI conference, allowing other tech companies to benefit from its advancements [3] - The model has evolved through various architectural changes, including the introduction of a mixed attention mode that enhances its ability to process information selectively [2][3] - Alibaba's Qwen series is now positioned to compete directly with Google across all modalities, having integrated text and visual data learning from the outset [3] Industry Position - Chinese companies, including Alibaba, are leading the open-source model race, effectively surrounding closed-source models and setting the stage for significant advancements in the industry [3] - The rapid development of models like Qwen 3.5 suggests that the gap between domestic models and the strongest state-of-the-art (SOTA) models is narrowing, with potential for surpassing competitors in the near future [3]

Core Insights - The "Qianwen Please Guest" Spring Festival campaign attracted over 130 million users engaging in various activities such as ordering milk tea, stocking up on New Year goods, purchasing movie tickets, and booking flights and hotels [1] - The feature "Qianwen Help Me" has become a habitual part of users' lives, with a total of 5 billion interactions recorded over the past 11 days [1] User Engagement - Following the launch of the second wave of the campaign on February 14, orders for movie tickets via AI increased by 372 times, with orders from third- and fourth-tier cities surging by 782 times [1] - In the last two days, AI orders for ticket purchases grew by 22 times, while AI bookings for flights and other transportation tickets increased by over 7 times [1] Demographics - Nearly half of the AI orders originated from county-level cities, indicating a significant reach into less urbanized areas [1] - Approximately 4 million users aged 60 and above experienced AI ordering for the first time, highlighting the feature's accessibility and appeal to older demographics [1]

Core Insights - The main theme in the large model industry over the past two years has been "scaling up," but this has led to increased deployment costs, making it harder for companies to afford these models. The performance curve and adoption curve are diverging [1] - Alibaba's release of the Qwen 3.5-Plus model, with 397 billion total parameters and only 17 billion activated, demonstrates a shift in focus from merely increasing parameters to enhancing model efficiency and cost-effectiveness [1][3] Model Performance and Efficiency - Qwen 3.5-Plus surpasses the previous generation Qwen 3-Max and competes favorably with models like GPT-5.2 and Gemini 3 pro in various benchmarks, achieving scores such as 87.8 in MMLU-Pro and 88.4 in GPQA [1][3] - The model's API pricing is significantly lower, at 0.8 yuan per million tokens, which is 1/18 of Gemini 3 pro's price, indicating a new cost structure in the industry [1][8] Architectural Innovation - The industry is experiencing a shift from parameter accumulation to architectural innovation, similar to the transition in the chip industry from single-core to multi-core architectures [3] - Qwen 3.5 achieves efficiency by using only 17 billion parameters for inference, resulting in an 8.6 times increase in throughput for 32K context scenarios and up to 19 times for 256K context scenarios, while reducing deployment memory usage by 60% [3][4] Multi-Modal Capabilities - Qwen 3.5 represents a generational leap to a native multi-modal model, integrating text and visual data from the start, which enhances its capabilities compared to models that assemble components separately [4][7] - The model supports direct input of 2-hour videos and can convert hand-drawn sketches into executable front-end code, showcasing its advanced multi-modal functionalities [7] Strategic Implications - Alibaba's commitment to native multi-modal capabilities positions Qwen as a foundational model for enterprise applications, which inherently require multi-modal functionalities [8] - The collaboration between model architecture, chip optimization, and cloud infrastructure results in a sustainable cost structure, challenging closed-source competitors who rely on performance exclusivity [8][9] Market Position and Growth - Qwen is ranked first in the Chinese enterprise-level large model market, with Alibaba Cloud's market share reaching 35.8% in the AI cloud market, surpassing the combined share of the second to fourth competitors [11][12] - The open-source model ecosystem is rapidly expanding, with over 400 models released and more than 200,000 derivative models created, indicating strong developer engagement and market traction [12] Future Considerations - The competition in the large model industry is transitioning from a parameter race to an architecture race, where efficiency and cost become the core competitive dimensions [12][13] - Questions remain about the sustainability of closed-source models in light of open-source alternatives that match performance and cost, as well as the viability of current assembly methods in multi-modal training [13]