Silicon Valley startups are increasingly swapping expensive US-built AI models from OpenAI and Anthropic for cheaper, open-source alternatives developed by Chinese labs like DeepSeek, Alibaba, and Moonshot AI. According to Martin Casado from Andreessen Horowitz, about 20–30% of startups use open-source models, and roughly 80% of those use Chinese open-source models. Chinese AI models can cost 60% to 90% less than leading US frontier models while delivering comparable performance across many common tasks, according to OpenRouter data and related reports. DeepSeek’s flagship model costs around $0.87 per million output tokens, compared with roughly $25 for Anthropic and $30 for OpenAI. Vercel reported DeepSeek’s share of AI traffic rose from under 1% to 17% since May, while OpenRouter said the model became its most popular offering after usage doubled between January and June. Startup Lindy said switching from Anthropic to DeepSeek saved millions of dollars after AI costs surpassed employee costs, while firms such as Airbnb and Anysphere have incorporated Chinese models into their AI stacks. The emerging playbook is a hybrid approach, combining Chinese models for cost-sensitive tasks with US models for situations where specific capabilities or compliance requirements demand them. US AI companies face a pricing squeeze, as an open-source alternative delivers 85-90% of the performance at a fraction of the cost. The geopolitical dimension adds uncertainty, as US