Google Cloud's addition of 3 OpenAI models to Model Garden, announced Oct 22, makes switching models easier and leaving Google Cloud harder.谷歌云 10 月 22 日在 Model Garden 上架 3 个 OpenAI 模型:换模型更容易了,离开谷歌云更难了。

The default read is more choice and less lock-in. Look at where the switching cost actually sits. The models, GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna, are in private preview. They bill on one Marketplace invoice, draw down your existing cloud commitment and count toward Flexible Savings Plans across model providers. The data controls live in the platform too, and two of them, Zero Data Retention and Confidential Compute, are still listed as coming soon.
Swapping a model is a code change. Unwinding a committed spend is a contract, and contracts move on renewal cycles. The lock-in moved from the model to the bill, where it is harder to see and slower to escape.
If you build on it, keep prompts, evals and orchestration outside the cloud. Then the model stays portable, and the commitment is the only thing you'd have to wait out.
We'd change our view if teams start splitting the same workloads across clouds with no commitment penalty.
一般的看法是:选择更多,锁定更少。但要看切换成本到底在哪。这些模型(GPT-6 Astra、GPT-6.1 Sol、GPT-6 Luna)处于私测阶段,走同一张 Marketplace 账单,从你已有的云承诺额度里扣,也计入跨厂商的 Flexible Savings Plans。数据管控同样在平台上,其中“零数据留存”和“机密计算”两项还标着“即将推出”。
换模型是改代码;退出已承诺的消费是合同,合同按续约周期走。锁定从模型挪到了账单上,更难看见,也更难脱身。
如果你要用,把提示词、评测和编排放在云外面。这样模型能带走,唯一要等的是承诺到期。
如果团队开始把同样的负载拆到多个云上、而且没有承诺违约成本,我们会改变看法。
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