In this context yes, but for example at my job we are using LLMs to evaluate some outputs of cheaper/simpler models and to add context to them. This gets expensive very quickly with per-token pricing and would pin our entire business on the whims of one or two providers. With self-hosted open-weight LLMs we can just operate like we always have, it's a different kind of processing but otherwise we are free to do as we please wrt compute.
So it matters a lot that these open-weight models are good enough; we would likely not be rolling out this new processing if it was fully dependent on Anthropic and OpenAI.
So it matters a lot that these open-weight models are good enough; we would likely not be rolling out this new processing if it was fully dependent on Anthropic and OpenAI.