Coinbase bypasses Western high-powered computing, focuses on Chinese models GLM and Kimi
Coinbase, the blockchain exchange, announced it has shifted its core business operations to more cost-effective Chinese AI models like GLM5.2 and Kimi2.7. This move has significantly increased token usage while cutting the company's AI costs in half. Coinbase CEO Brian Armstrong revealed that although developers still retain the right to choose models, the newly established automatic routing system intelligently distributes requests based on task type, price, and caching potential, boosting the cache hit rate from 5% to an impressive 60%.
This strategic shift has quickly triggered a chain reaction across the Western tech industry. The CEO of startup Lindy recently switched to Deepseek v4, while cloud computing giant Snowflake is intensively testing Chinese models, positioning them as a cost-effective alternative to OpenAI and Anthropic. This move directly pressures Western top AI labs preparing for their IPOs, posing a severe test to valuation systems that rely on high unit prices to maintain growth expectations.

With high-performance reasoning models like GPT-5.x-Thinking and Opus4.5 hitting the market, enterprise token consumption is experiencing explosive growth. Under the "token maximization" trend tolerated by giants like Amazon and Meta—where employees are allowed to consume tokens without limits—Coinbase has introduced a more rational accountability mechanism, tying AI investment to actual business output.
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Coinbase, the blockchain exchange, announced it has shifted its core business operations to more cost-effective Chinese AI models like GLM5.2 and Kimi2.7. This move has significantly increased token usage while cutting the company's AI costs in half. Coinbase CEO Brian Armstrong revealed that although developers still retain the right to choose models, the newly established automatic routing system intelligently distributes requests based on task type, price, and caching potential, boosting the cache hit rate from 5% to an impressive 60%.
This strategic shift has quickly triggered a chain reaction across the Western tech industry. The CEO of startup Lindy recently switched to Deepseek v4, while cloud computing giant Snowflake is intensively testing Chinese models, positioning them as a cost-effective alternative to OpenAI and Anthropic. This move directly pressures Western top AI labs preparing for their IPOs, posing a severe test to valuation systems that rely on high unit prices to maintain growth expectations.

With high-performance reasoning models like GPT-5.x-Thinking and Opus4.5 hitting the market, enterprise token consumption is experiencing explosive growth. Under the "token maximization" trend tolerated by giants like Amazon and Meta—where employees are allowed to consume tokens without limits—Coinbase has introduced a more rational accountability mechanism, tying AI investment to actual business output.
Swedish AI Startup Lovable Eyes $13.2 Billion Valuation After Major Funding Round
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