Coinbase CEO floats Chinese open-weight AI models as antidote to runaway bills
Coinbases CEO has proposed experimenting with cheaper open-weight AI models to keep AI spending in check as token consumption climbs. This proposal has led to concerns over the security and geopolitical risks of directing enterprise workloads through Chinese-origin systems. Why are companies using Chinese AI models? U.S. export controls have made it harder for Chinese companies to access American AI chips, but that hasnt stopped them from building competitive models and selling them at much lower prices. For instance, Zhipu‘s $GLM 5.2 costs $1.40 per million input tokens and $4.40 per million output tokens compared to Anthropic’s Opus 4.8 at $5 and $25 for the same volume. $GLM 5.2 scored 62.1 on SWE-bench Pro, a key coding benchmark, beating OpenAIs GPT-5.5 at 58.6. One AI researcher said $GLM 5.2 “is at least as good as Opus 4.8 and GPT 5.5.” Another called it “the first open model that can really compete with closed-source systems.” Is Coinbase using Chinese AI models Coinbases CEO Brian Armstrong says the best way to control rising AI costs is to use cheaper open-weight models, including systems from China like $GLM 5.2. Armstrong said instead of spending more and more on AI, companies need “better defaults, routing, and caching.” His suggestion to use Chinese models,