To manage high operational costs, some American AI startups adopt a hybrid approach. They build the bulk of their applications on performant, cheaper Chinese open-source models, reserving expensive frontier US models for critical tasks like evaluation and guidance.

While cutting-edge American AI models are like Ferraris, most companies' needs are met by cheaper, slightly less advanced Chinese "dupe" models. These "Honda AIs" are 6-9 months behind technologically but up to 90% cheaper, creating a massive B2B market for "good enough" solutions for tasks like marketing and operations rather than pure R&D.

DeepSeek's V4 model, while not frontier-level, is drastically cheaper than US counterparts. This makes it highly attractive for most business use cases, creating a national security risk if US companies become dependent on Chinese-controlled, open-source AI infrastructure that could be altered or restricted, leaving them strategically vulnerable.

The Chinese open-source model GLM 5.2 offers performance comparable to expensive proprietary models like Claude Opus but at a fraction of the cost. This makes running AI agents at scale economically viable for more businesses, removing a significant barrier to adoption.

Airbnb's reliance on Alibaba's QWEN 3 model as a more affordable alternative to US models signals a critical trend. As Chinese models approach performance parity, their significant cost advantage is making them a viable and attractive choice for Western companies, challenging the market dominance of US-based labs.

As enterprises become more cost-conscious about token spend, they are actively seeking cheaper alternatives to OpenAI and Anthropic. Data from Ramp shows China's DeepSeek is the top trending software vendor, indicating a new willingness to use foreign or open-source models despite potential data privacy concerns.

Flo Crivello of Linde argues for banning Chinese open-source AI, citing geopolitical risks, even though his company's existence depends on them. He frames it as a "can't unilaterally disarm" dilemma: he must use the cheaper models to compete, but believes they harm the US ecosystem long-term.

Geopolitical tensions aren't stopping US companies from adopting Chinese open-source AI models like Quen. The practical benefits of lower costs and faster fine-tuning are overriding political concerns, demonstrating that a true AI decoupling is difficult when economic incentives are strong.

DeepSeek's V4 model is generating software-like 70-80% gross margins. This is remarkable in an industry where positive margins are rare, achieved through highly efficient model inference that allows for fractional pricing compared to competitors like OpenAI and Anthropic.