You still have to worry about misconfigured local models. Even the professionals get it wrong, which is why local model performance is uneven across providers.
But in that case you have nobody but yourself to blame, and you can stabilize things yourself at any time by refraining from making any changes. You won't be surprised by a provider. Honestly? That's not just valuable—it's essential.
And to add insult to injury, some providers will ride on the good reputation of some local model, selling you a terrible quant instead.
With OpenAI, at least my gpt-5.5 is the same as your gpt-5.5. You can't say that about glm for example.