AI startups shift to cheaper Chinese models as US firms face price pressure

The AI arms race has a new front, and it is the invoice. Startups and enterprises are moving more of their workloads to lower-cost open models built by Chinese labs, Bloomberg reports, as pricing pressure from US providers squeezes budgets.

Following the money, one token at a time

The shift shows up clearly on OpenRouter, a platform developers use to access a wide range of AI models. Chinese models have taken more than 30% of weekly tokens on the platform every week since February 8, 2026.

Tokens are the small chunks of text that AI models read and write, and providers bill by the token. So token share is a decent proxy for where the actual work, and the actual spending, is going.

That share did not stay at 30%. It peaked at 67% by mid-September 2026, meaning Chinese models briefly handled roughly two of every three tokens moving through the platform.

Price is the obvious driver. Chinese AI models reportedly cost 10 to 50 times less per token than US offerings, and in some cases prices run 90% lower.

Meanwhile, the US side of the ledger has been getting heavier. Usage-based pricing from OpenAI and Anthropic has driven sharp increases in enterprise AI costs, with reports of some bills climbing as much as 100x.

Lindy goes all in, and bigger names hedge

The clearest example is Lindy, an AI startup that moved entirely from Anthropic’s Claude models to DeepSeek’s V4 model in June 2026. The switch saved the company millions and cut its inference costs by approximately 90%.

Lindy’s full switch is the dramatic version. Larger companies are taking a more measured approach, spreading work across several models instead of committing to one.

DoorDash is using Moonshot AI’s Kimi. Airbnb is working with Alibaba’s Qwen. Coinbase, one of the largest US crypto exchanges, is using models including GLM-5.2.

How chip limits shaped a pricing war

The backdrop is US export controls on advanced chips, which restricted Chinese developers’ access to top-end hardware. Instead of stalling, Chinese labs responded by building more efficient models and pricing them aggressively.

Labs like DeepSeek, Moonshot AI, and Alibaba have released open-weight models, meaning companies can download and run them rather than only renting access through an API.

What this means for US AI providers and their customers

For enterprise customers, the lesson is already clear: avoid lock-in. Companies like DoorDash, Airbnb, and Coinbase are building systems that can switch between models, which gives them leverage the next time a provider changes its pricing.

There are risks on the other side too. Relying on Chinese models raises questions for some companies around geopolitics and regulatory exposure, especially as US-China tech tensions remain a live issue. Firms will have to weigh those concerns against savings that, in Lindy’s case, reached approximately 90%.

The figure to watch is OpenRouter’s token share. It has stayed above 30% since February and touched 67% in mid-September.