Tokens are the building blocks of text that OpenAI models process. They can be as short as a single character or as long as a full word, depending on the language and context.

Tokens are the building blocks of AI language processing, enabling models to handle text efficiently. OpenAI charges for them to cover the real costs of AI computation while keeping access usage …

The OpenAI natural language models don't operate on words or characters as units of text, but instead use something in-between: tokens. By definition tokens are text "chunks" that represent commonly …

Sep 9, 2025 · A token in Azure OpenAI is the basic unit of text processing that AI models use to understand and generate content. Think of tokens as the “building blocks” of language that the AI …

Oct 5, 2024 · Tokens are the building blocks of text in the OpenAI API. Rather than working with whole words or characters, the API processes information in smaller units called tokens.

Sep 1, 2024 · Tokens are the basic unit that OpenAI GPT models use to compute the length of a text and split it into semantic pieces for efficient processing. They are groups of characters, which …

Tokens in the context of OpenAI GPT models are clusters of characters representing the fundamental unit of text. These tokens are generated by a tokenizer algorithm that segregates text into smaller …

Jan 15, 2025 · Tokens are one of the main driving factors related to cost, response time, and performance when using OpenAI’s APIs (and most other providers). Understanding how they relate …

Different token encodings are linked to different models, so this needs to be kept in mind when converting text into tokens, to be cognisant of what model will be used.

May 16, 2024 · Tokens in OpenAI represent the numerical encoding of sequence of characters or words utilized by the models in the user prompts and in system responses. These sequences undergo …