A token counter for Google Gemini and Gemma models. Count your prompt tokens before sending them to Gemini.
This online tool uses the same tokenization algorithm as the Google Gemini language model's tokenizer. Type or paste the text you want to analyze into the text area and our calculator will automatically calculate the number of tokens in the text. Use this tool to easily count the number of tokens before you send your text to Google Gemini and make sure you're never over the limit.
To calculate the exact number of tokens for some text, you need to give the text to an algorithm, known as a tokenizer, which will break the text into small segments known as tokens. From there, the tokenizer algorithm counts all of the tokens it generates for you. It's important to make sure that you use the right algorithm for the AI Language model that you are targeting. Our Google Gemini token counter takes all the hard work out of calculating the amount of tokens in a string of text. Simply copy-paste your text into our Gemini token counter above and let us do the hard part for you!
For Gemini and Gemma models, a token is equivalent to about 4 english characters. About 60-80 English words are equivalent to 100 Gemini tokens.
Not all models count tokens the same. Gemini token counts may be slightly different than token counts for Open AI or Llama models. To ensure the best calculation, make sure you use an accurate token counter that will apply a model based token counting algorithm for your specific model. To count tokens for Google's Gemini model, use the token counter provided on this page.