A token counter is a useful tool when working with language models or other AI systems that have limitations on the number of tokens (words, subwords, or other units) that can be processed in a single input. This is often the case with large language models like GPT-3, GPT-4 or BERT, which have maximum input lengths that can range from a few hundred to a few thousand tokens.

How to use our token counter?

Simply input your text in the box above, and the token count will be displayed on the screen

Why use a token counter

Avoid Truncation: By monitoring the token count of your input, you can ensure that it doesn't exceed the model's maximum length. This prevents your input from being truncated, which could lead to important information being lost.

Optimize Input Length: You can use the token count to iteratively refine your input, trimming unnecessary content to stay within the model's limits while preserving the key information you want to convey.

Understand Model Capabilities: Tracking the token counts of your inputs and the corresponding model outputs can help you understand the practical limitations of the language model you're using, informing how you structure your prompts and requests.

Enable Effective Chunking: If your input does exceed the model's maximum length, a token counter can help you identify where to split it into smaller, manageable chunks that can be processed independently.