Token Count
Token count is the number of tokens a piece of text produces after tokenization. It determines sequence length, compute cost, and context-window consumption for a given input.
What is Token Count?
Token count is the number of tokens a piece of text produces after tokenization. It determines sequence length, compute cost, and context-window consumption for a given input.
Token count is the number of tokens a piece of text produces after tokenization. It determines sequence length, compute cost, and context-window consumption for a given input.
Where is it used?
LLM APIs bill per token; GPT-4 has a 128k context window; estimating token count before sending prompts prevents truncation and controls cost in production.
How to build it
Use `len(tokenizer.encode(text))` to count tokens, build a cost estimator that multiplies token count by price per token, and test how token count varies across languages.