全球大模型第一股之争:中国AI,到底该先造底座还是卖爆款?
3 6 Ke·2025-12-23 10:23

Core Viewpoint - The competition between two Chinese AI unicorns, Zhipu and MiniMax, represents a broader struggle in the AI industry regarding the ultimate value attribution, as they adopt fundamentally different approaches to their business models and market strategies [1][27]. Group 1: Company Strategies - Zhipu aims to establish itself as the "power plant" of the AI era by focusing on foundational infrastructure, developing its own GLM architecture, and providing stable, continuous AI capabilities to enterprises through a model-as-a-service (MaaS) approach [2][12]. - MiniMax, in contrast, adopts a consumer-oriented strategy, prioritizing the rapid development of popular applications to capture market attention and generate revenue quickly, resembling a typical internet company [4][6]. Group 2: Financial Performance - Zhipu's revenue model is primarily B2B and B2G, with projected revenues of 263 million RMB in 2024 and over 718 million RMB in 2025, benefiting from a high customer retention rate of 79% and maintaining a gross margin above 50% [9][12]. - MiniMax's revenue heavily relies on consumer products, with 71.1% of its income coming from applications, but it faces challenges with a low gross margin, which has not exceeded 25% since 2023, and high marketing expenses that are 2.8 times its revenue [15][18]. Group 3: Market Positioning - Zhipu's approach is characterized by high stickiness and sustainability, as its enterprise clients face significant switching costs once integrated into its foundational models, positioning it as a long-term player in the AI infrastructure space [12][21]. - MiniMax's rapid consumer market entry strategy, while effective for quick user acquisition, exposes it to intense competition from larger tech giants, making its long-term viability uncertain [25][26]. Group 4: Industry Implications - The ongoing evolution of the AI industry suggests that foundational technologies will ultimately dictate the success of applications, as seen in historical tech trends where infrastructure providers maintain long-term value [24][27]. - The current landscape indicates a high cost of customer acquisition and operational expenses, with both companies needing to ensure sustainable revenue and profit margins to survive in a competitive market [23][22].