Token Counter

Token Counter accurately counts the number of tokens in your text using the same tokenization as major LLMs. It is essential for estimating API costs, managing context windows, and optimizing prompt length.

Select the encoding model that matches your target LLM: GPT-2 Legacy for older models, GPT-3 DaVinci for GPT-3, GPT-4 for GPT-4 models, and GPT-4o for the newest OpenAI models.

Tokens are chunks of text that an LLM processes. Unlike words or characters, tokens vary in length. Common words are usually a single token, while long or rare words may consist of multiple tokens.

This tool shows the total token count, character count, word count, and line count. Use these figures to optimize your prompts to fit model limits and improve cost efficiency.

Token counts help you estimate API costs (see the LLM Cost Calculator) and ensure your prompt fits within the model's context window. Understanding token counts is essential for AI development.