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2026-06-28 0 浏览 会员

Coinbase加入使用中国AI模型的热潮,西方实验室面临定价压力测试

Coinbase首席执行官转向使用中国AI模型,token用量创新高但成本减半,带动企业级AI成本优化趋势,西方AI实验室面临定价压力。

SOURCE / AI小生意项目库 MIN / 9 ACCESS / 会员 POST / 2026-06-28 20:14:38

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作者:Matthias Bastian 来源站点:the-decoder.com 原贴时间:

原文

Coinbase CEO Brian Armstrong has moved his company to cheap Chinese AI models. The company is using more tokens than ever but paying half what it used to. Coinbase now runs on models like GLM 5.2 and Kimi 2.7 , according to Armstrong. Developers can still pick whatever model they want, but 91 percent never hit their old usage limits anyway. The CEO of startup Lindy made the same move to Deepseek v4 recently. Snowflake is testing Chinese models too as cheaper alternatives to OpenAI and Anthropic. That puts real pricing pressure on Western AI labs and adds risk right as some are eyeing IPOs . It's a stress test for the growth numbers they need to hit to justify the money they've raised. Ad Coinbase also runs an automatic routing system that picks the best model for each request based on task, price, and caching potential. Better caching alone pushed the hit rate from 5 to 60 percent. Developers are told to keep context lean and start fresh sessions for new tasks, a strategy that falls under the broader umbrella of context engineering . Ad DEC_D_Incontent-1 Coinbase also makes each developer's usage visible without capping it. That echoes the tokenmaxxing trend where employees at Amazon and Meta got kudos for burning through tokens with no need to justify the results. But Coinbase adds one rule that breaks that cycle. "The more you spend on AI, the more impact we expect," Armstrong says. These moves cut Coinbase's AI spending in half even as token usage keeps climbing, according to Armstrong. Ad More companies are leaning into this kind of optimization. We cover the rise of the token economy in our Frontier Radar #3 . Reportedly, a price war between OpenAI and Anthropic is brewing, too. OpenAI's GPT-5.6-Sol costs the same as GPT-5.5 but is supposed to be more token-efficient than Claude Fable and Mythos. OpenAI is also offering two weaker 5.6 variants at much lower prices. Ad DEC_D_Incontent-2 Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.

中文翻译

Coinbase首席执行官Brian Armstrong已将公司转向使用廉价的中国AI模型。该公司使用的token比以往任何时候都多,但支付费用却只有过去的一半。据Armstrong称,Coinbase现在运行在GLM 5.2和Kimi 2.7等模型上。开发者仍然可以选择任何他们想要的模型,但无论如何,91%的开发者从未达到他们以前的使用限制。

初创公司Lindy的首席执行官最近也转向了Deepseek v4。Snowflake也在测试中国模型,作为OpenAI和Anthropic的更便宜替代品。这给西方AI实验室带来了真正的定价压力,并在一些公司考虑IPO之际增加了风险。这是对他们需要达到的增长数字的压力测试,以证明他们所筹集资金的合理性。

Coinbase还运行一个自动路由系统,根据任务、价格和缓存潜力为每个请求选择最佳模型。仅更好的缓存就将命中率从5%提高到60%。开发者被告知要保持上下文精简,并为新任务启动新的会话,这一策略属于更广泛的上下文工程范畴。

Coinbase还让每个开发者的使用量可见,而不设上限。这呼应了tokenmaxxing趋势,亚马逊和Meta的员工因消耗大量token且无需证明结果而受到称赞。但Coinbase增加了一条规则打破了这一循环。Armstrong说:“你在AI上花得越多,我们期望的影响就越大。”据Armstrong称,这些举措将Coinbase的AI支出削减了一半,即使token使用量持续攀升。

更多公司倾向于这种优化。我们在《前沿雷达》第3期中报道了token经济的崛起。据报道,OpenAI和Anthropic之间的价格战也在酝酿之中。OpenAI的GPT-5.6-Sol与GPT-5.5成本相同,但预期比Claude Fable和Mythos更节省token。OpenAI还以更低的价格提供两个较弱的5.6变体。

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核心信息

Coinbase首席执行官转向使用中国AI模型,token用量创新高但成本减半,带动企业级AI成本优化趋势,西方AI实验室面临定价压力。

  • Coinbase首席执行官转向使用中国AI模型,token用量创新高但成本减半,带动企业级AI成本优化趋势,西方AI实验室面临定价压力。
  • 原贴提到:Coinbase CEO Brian Armstrong has moved his company to cheap Chinese AI m
  • 来源:the-decoder.com
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