the last time a gemini model was available globally in multiple datacenters was gemini 2.0 era.
That can work in the B2C space but it's horrible in B2B.
> That can work in the B2C space but it's horrible in B2B.
My experience differs: (conservative) companies like stability, so calling some very new model "Preview" is a good idea to make it clear to the customer that this frontier model should be treated as more experimental than the default offering.
Maybe it's a consequence of their rigorousness around SRE, but it doesn't seem like there's a plausible and efficient path for that to happen.
Ergo, the only competitive options from Google are ever-Preview products.
Adopting a month-old AI model version for new development is the default industry expectation right now. Adopting a six month old model is a recipe for having to migrate to a new one almost immediately, when it hits EOL.