That's the big criticism on Microsoft, not Google. On GCP this isn't the case, because Google does not have a huge install base of MS Office to give "free" 50% Azure credits (but paying the same) faking their cloud numbers.

GCP has a reputation on being the fastest compute and network available. Also the most bang-for-your-buck (on hyperscalers) ML infrastructure by far (because TPUs)

Amazon is "the default" (and most expensive). Works with everything.

Azure is "Microsoft cloud". It's not fast, cheaper but certainly not cheap, ...

But of course that should be interpreted as GCP being 10x the cost of on-prem hardware (for equivalent storage/performance). Azure 13x or so. And Amazon a solid 20x (mostly because none of their products deliver the performance advertised and because if you buy 1 thing of Amazon, they bill you for 20 different things). Even with the price hikes a server under your desk (not the same, I know, however, once you have 20 servers in 2 rooms in 2 buildings and kubernetes running the workloads it is the same in reliability)