LLM are not somewhat fast when measured against CPU models in spacy that are specialized for a task. They are multiple orders of magnitude slower for e.g. token classification/NER, text classification, etc.

that's not to mention the plumbing that spacy provides that are mostly bindings to C code for tokenization, lemmatization, etc. things like that which are more algorithms problems than machine learning problems.