U.S. companies are turning to Chinese-built artificial intelligence models at a growing rate as the cost of using top American systems from OpenAI and Anthropic climbs, according to CNBC. On OpenRouter, a marketplace giving developers access to competing AI systems, U.S. companies directed more than 30% of their token consumption to Chinese models in every week dating back to Feb. 8, with a peak of 46%. Chinese models had claimed only 4.5% of token traffic in the first half of 2025 and averaged 11% over the twelve months before the recent surge.
Justin Summerville, a data and analytics specialist at OpenRouter, said the price gap is stark: open-source Chinese models run "60% to 90% cheaper" than their top American counterparts from Anthropic and OpenAI. Among recent releases, GLM-5.2 from Beijing-based Z.ai has made the biggest splash: Vercel's Harpreet Arora said it outpaced every other model the platform tracked in 2026 on speed of adoption. Arora, who serves as head of agentic infrastructure at Vercel, described the numbers to CNBC: "In its first full week after launch, daily token volume grew about 27x and the number of customers using it grew about 80x."
On a prominent agentic benchmark, Z.ai's model came within one percentage point of Anthropic's Opus 4.8 while carrying a price tag approximately one-fifth as large. LaunchLemonade, which operates an AI agent platform serving regulated industries, has seen GLM-5.2 climb into its top five most-used models, joining Claude and ChatGPT at that tier, according to CNBC.
Last month, Lindy became a pointed example of the broader shift when the AI startup redirected every request it had been sending to Anthropic's Claude over to DeepSeek. Lindy CEO Flo Crivello said the financial impact was immediately visible: "We did it, and you could see that cost curve go down, like, crash to the ground." He projected the move would put millions of dollars back on the company's balance sheet within months.
Kyle Chan, who holds a fellowship at the Brookings Institution's John L. Thornton China Center, pointed to cost pressure as the driving force. "Chinese AI models are particularly attractive to American companies now as AI costs skyrocket," he said. "Where previously U.S. companies were prioritizing AI adoption regardless of model, now they're getting more cost-conscious." Chan put the capability gap at somewhere between six and nine months behind America's best frontier systems — a deficit that comes paired with dramatically lower pricing.
The shift reflects a broader pattern of enterprise customers pulling back on OpenAI and Anthropic spending and demanding clearer returns on investment. That budget pressure has coincided with regulatory turbulence: OpenAI pulled back the release of several new models under government pressure toward the end of June, and a weeks-long confrontation between Anthropic and the Trump administration ended with export restrictions on the company's Mythos and Fable models being dropped. The episode left many businesses looking for alternatives. "Who knows what the top model will be in three weeks?" Summerville said.
Chinese models still face hurdles in the U.S. market. The road ahead carries real obstacles: the Commerce Department placed Z.ai on its trade blacklist in 2025, and developers continue to express unease about the security of their data and the company's relationship with Beijing, according to The New York Times. Businesses that self-host the models or funnel traffic through an intermediary can sidestep the data-transfer issue entirely, the Times reported.