Chinese AI Startups Are Winning Over American Companies With Cheaper, Powerful Models

A New Wave of Chinese AI Is Landing on American Shores

China has a hot new product in the United States: artificial intelligence. What started as a curiosity is rapidly becoming a business reality, as American executives and major companies quietly shift their day-to-day AI workloads to Chinese models that cost a fraction of their U.S. counterparts — and in some cases, perform just as well.

San Francisco-based Raffi Krikorian, the chief technology officer at Mozilla, which runs the Firefox browser, switched to Chinese AI startup Moonshot's Kimi K3 for many of his day-to-day activities within days of the model's launch. "It just seems snappier," he said, comparing it to the acclaimed and more expensive Claude Fable chatbot from Anthropic. Earlier, he had been using another high-performing Chinese model, Z.ai's GLM-5.2, for routine tasks such as managing his calendar, documents, and email.

The Price Gap Is Staggering

The rapid rise of cutting-edge Chinese AI models this year shows the China-U.S. race in AI has moved on from early last year, when Chinese startup DeepSeek shook up the U.S. technology industry and put China on the map with an AI model that performed on par with those in the U.S. but much more cheaply. The latest AI models launched by startups Z.ai, or Zhipu, in June, and Moonshot in July are nearly as intelligent as the frontier models from OpenAI and Anthropic, experts say.

The cost difference is hard to ignore. One million tokens of output — roughly 750,000 words — costs $50 when using Anthropic's Fable model. The same million output tokens from DeepSeek-V4-Pro cost about $0.87, while Z.ai GLM-5.2 cost $4.40. Kimi K3 is relatively pricey by Chinese standards at $15. Bank of America analysts estimated that Kimi K3 costs about half as much as OpenAI's GPT-5.6 Sol. For companies running AI at scale, those differences add up fast.

Big American Names Are Already On Board

In a June social media post, Coinbase CEO Brian Armstrong explained how the crypto platform had halved its AI spending by pushing more of its employees to use Kimi and Z.ai's GLM models. DoorDash is pushing coding tasks to Chinese models, with chief technology officer Andy Fang saying the company delegates "lower-level work" to Kimi, leading to "better quality [at] cheaper cost." Thinking Machines Lab, an AI startup founded by former OpenAI Chief Technology Officer Mira Murati, also said it used Kimi while creating its first tool, Inkling.

Moonshot unveiled Kimi K3 on July 16–17, 2026, billing it as the world's largest open-weight AI model at launch, built on 2.8 trillion parameters. Unlike most American proprietary models, Kimi K3 was released as an open-weight model, allowing developers to download it, modify it, and run it on their own servers for free, positioning it for easier adoption and a wider market globally. The demand was so intense that in just two days after launch, Moonshot suspended new subscriptions after demand overwhelmed its computing capacity.

Political Tension Simmers Beneath the Surface

The Trump administration accused Moonshot of using "covert" but not necessarily illegal methods to build K3 off the back of Anthropic's Fable. Some U.S. politicians and AI companies including Anthropic have accused Chinese startups of illicit "distillation" of their models to extract their technologies, a claim that Beijing rejects as "groundless."

Constrained by limited access to AI hardware and investment compared with American firms, China has embraced so-called open models, in contrast to U.S. rivals that mostly sit behind paid subscriptions. That openness is proving to be a powerful competitive weapon. With Chinese AI firms like Moonshot, Alibaba, and Z.ai getting more attention for each new model, with the pace of rollouts speeding up , American AI giants face a choice: compete on price, or risk watching their customers quietly walk out the door.