ChatGPT Token Counter

Accurately estimate token count for ChatGPT and other GPT models. Optimize your prompts and manage API costs effectively with our precise tokenization tool.

Note: This is an estimate using tokenization via web assembly running locally. Actual token count may vary.

How to Use Our ChatGPT Token Counter

• Select model
  Choose the appropriate GPT model from the dropdown menu to ensure accurate token counting for your specific use case.

• Input your prompt
  Enter the text you want to analyze in the textarea provided.

• Include system prompts
  Remember to add any system prompts, especially when estimating API costs. This ensures a more accurate token count for your entire conversation.

• Include memory and other context
  If your conversation includes any memory or additional context, make sure to include it in your input for a comprehensive token count.

• Click "Count Tokens"
  After entering your text, simply click the "Count Tokens" button to get an accurate estimate of the token count.

Why Another ChatGPT Token Counter?

Our ChatGPT token counter provides a more accurate estimation of token count compared to simple character-based estimates. Instead of using the common approximation of 1 token per 4 characters, we utilize actual tokenization algorithms similar to those used by OpenAI's models. This approach gives you a more precise token count, which is crucial for optimizing your prompts and managing API costs effectively. By using our tool, you can better understand how your text will be processed by the AI model, allowing for more efficient and cost-effective use of ChatGPT and other GPT models.

What is a Token?

A token is a unit of text that language models process. It can be as short as a single character or as long as a word. For example, the word "chatbot" might be a single token, while a longer word like "magnificently" might be split into multiple tokens.

How Does Token Counting Work?

Token counting works by breaking down the input text into smaller units (tokens) that the AI model can understand. The process uses a specific tokenization algorithm that depends on the model being used. This tool uses tiktoken to estimate token counts in a way similar to how OpenAI's models process text.

Example: Our token counter vs Official tokenizer output

Model: GPT-4 Input:
Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

Estimated token count:
64

Official tokenizer output:
64

Privacy

We prioritize your privacy. This token counter operates entirely in your browser using Web Assembly. We do not store or transmit your prompts or any other data you enter. All processing is done locally on your device.