[andwur]

This is quite a claim without any evidence to substantiate it. LLMs are nondeterministic models, whose behaviour is reliant on training data, model architecture and context (both in the general and domain specific sense).

There is absolutely no guarantee llm1(MD) == llm2(MD), by design. With the current batch you need to explicitly constrain a number of parameters, far more than simply the prompt, to get identical output from the _same_ model, let alone another model that has varied training data and/or architecture.