DeepSeek——这家以低成本、高性能模型震惊矽谷的新创公司——突然宣布将「大幅」调涨价格，此举可能削弱中国人工智慧产业的竞争力。过去近两年间，业界惊叹于中国模型在快速演进的同时却能维持极低定价，仿佛无视经济引力。其价格底线之激进，被形容为美国AI模型难以生存的「死亡区」。DeepSeek的超低费率之后，Alibaba、Z.ai与Moonshot等公司也相继推出价格亲民的前沿级中国模型，进一步加剧了外界对中国已破解AI经济密码、可能颠覆美国高成本模型领先地位的忧虑。其定价策略被比作中国低价倾销太阳能板、冲击国际市场价格的先例。（关键数字：nearly two years）

然而，本周的涨价公告表明，这种策略在规模化后可能难以为继。此事影响深远，因为DeepSeek的任何价格变动都可能重新定义整个中国AI产业的定价格局。这家位于杭州的AI实验室及其同业的廉价token，不仅对正朝万亿美元估值公开上市迈进的OpenAI和Anthropic构成竞争威胁，其低成本更补贴了一整个下游开发者与应用建构者生态系统——这些人在设计产品时，预设推论成本会持续维持在低位。DeepSeek的模型采开放权重发布，任何人皆可下载、修改并在本地运行，这与其美国竞争对手截然不同，在一定程度上为使用者提供了更多AI控制权，但并未改变成本正在上升的事实。

DeepSeek低调的创办人Liang Wenfeng及其国内竞争者，终究必须像西方同业一样面对成本问题。对于那些围绕高性能但低价AI设计产品的开发者和新创公司而言，这是一记警钟：依赖政策随时可能变动的第三方平台存在固有风险。这也提醒世人——经济引力终将追上所有人。

DeepSeek, the startup that stunned Silicon Valley with its low-cost, capable models, abruptly announced "significant" price increases, a move that could blunt the competitiveness of the hard-charging Chinese AI industry. For nearly two years, the industry marveled at how Chinese models evolved rapidly while remaining extraordinarily cheap, as if defying gravity. The pricing floor was so aggressive it created a "death zone" for US AI models. DeepSeek's rock-bottom rates were followed by affordably priced, frontier-level Chinese models from Alibaba, Z.ai, and Moonshot, intensifying concerns that China had cracked the AI economics code and could disrupt the leadership of costlier American models. The pricing strategy drew comparisons to Chinese "dumping" of low-cost solar panels that collapsed international market prices.

However, this week's price hike announcement signals that approach may not be sustainable at scale. The implications are significant because any changes to DeepSeek's pricing are likely to reset pricing across the entire Chinese AI industry. The Hangzhou-based AI lab and its peers' cheap tokens were not merely a competitive threat to OpenAI and Anthropic—both heading toward public listings at trillion-dollar valuations—but also subsidized an ecosystem of downstream builders and developers who priced their own products assuming inference costs would remain low. DeepSeek's models are open weight, meaning anyone can download, modify, and run them locally, unlike their American counterparts. This gives users more control over their AI, somewhat reducing the sting, but it does not change the fact that costs are rising.

DeepSeek's reticent founder, Liang Wenfeng, along with his local competitors, will eventually have to account for their costs, just like their Western counterparts. For developers and startups that designed their products around capable but cheap AI, this serves as a stark reminder of the risks inherent in relying on third-party platforms whose policies can change at any time. It is also a reminder that gravity catches up with everyone.