The network effects of using consistently behaving models and maintaining API coverage between updates is valuable, too - presumably the big labs are including their own domains of competence in the training, so Claude is likely to remain being very good at coding, and behave in similar ways, informed and constrained by their prompt frameworks, so that interactions will continue to work in predictable ways even after major new releases occur, and upgrades can be clean.

It'll probably be a few years before all that stuff becomes as smooth as people need, but OAI and Anthropic are already doing a good job on that front.

Each new Chinese model requires a lot of testing and bespoke conformance to every task you want to use it for. There's a lot of activity and shared prompt engineering, and some really competent people doing things out in the open, but it's generally going to take a lot more expert work getting the new Chinese models up to snuff than working with the big US labs. Their product and testing teams do a lot of valuable work.