Understanding tokenization and consumption in LLMs

This short report explains tokenization in large language models (LLMs), outlining how text is split into tokens (which may be characters, subword fragments, whole words, or punctuation), why tokenization is more granular than word or sentence segmentation, and how this affects model processing, language coverage, and billing considerations.