ToolsThe story, in brief
Coinbase joins the rush to Chinese AI models as Western labs face a pricing stress test
Coinbase just cut its AI spending in half. Here's how: switching to Chinese models and a 12x cache hit rate improvement.
The KeyNews take
Why it matters
Enterprise AI cost optimization is forcing a strategic pivot away from Western closed models. Coinbase's automated routing system and caching infrastructure show how scale operators are arbitraging model pricing—and it's working at the token level, not just the contract level.
The key facts
5 to knowCoinbase switched to Chinese AI models (GLM 5.2, Kimi 2.7)
Implemented automated routing system for model selection based on task and price
Cache hit rate improved from 5% to 60%
Achieved 50% reduction in total AI spending while token usage increased
CEO Brian Armstrong leading the initiative
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Coinbase CEO Brian Armstrong is switching his company to Chinese AI models like GLM 5.2 and Kimi 2.7. An automated routing system picks the best model for each request based on task and price, and better caching pushed the hit rate from 5 to 60 percent. Coinbase has cut its AI spending in half even…