GPT & OpenAI Token Counter

A token counter for Chat GPT, GPT-3.5, and GPT-4 models. Count your Chat GPT prompt tokens before sending them to GPT.

Tokens: --
Characters: 0

How to Count Tokens for GPT Models

Counting tokens for GPT models like GPT-3.5 and GPT-4 is essential for optimizing prompts, controlling costs, and staying within model limits. Here’s a step-by-step guide to accurately count tokens and make the most of your interactions with AI models.

  • Step 1: Understand Tokenization in GPT Models

    GPT models process text by breaking it into tokens, which can represent characters, words, or even parts of words. For example:

    • The sentence "AI is amazing!" might be tokenized as "AI," "is," "amazing," and "!".
    • Emojis, symbols, and complex text structures are also tokenized.

    Knowing how tokenization works helps you better predict how many tokens your input will use.

  • Step 2: Use TokenCount.io for Accurate Calculations

    TokenCount.io makes token counting simple and precise. Here’s how to use it:

    1. Paste Your Text: Copy your AI prompt or text and paste it into the input box.

    2. Select the GPT Model: Choose between GPT-3.5 or GPT-4. Tokenization varies slightly between models, so it’s important to pick the correct one.

    3. Get Results Instantly: The tool calculates your token count in seconds, displaying the total tokens, word count, and character count for better insights.

  • Step 3: Stay Within Token Limits

    GPT models have specific token limits per request:

    • GPT-3.5: Supports up to 4,096 tokens per interaction.

    • GPT-4: Can handle up to 8,192 tokens (or higher, depending on the version).

    Your input and the model’s response must fit within these limits. Use TokenCount.io to ensure your prompt leaves enough space for a complete response.

  • Step 4: Optimize Your Prompts

    • Be Concise: Remove unnecessary words or repetitive information to reduce token usage.

    • Focus on Clarity: Use precise language to communicate your intent effectively.

    • Test and Adjust: Experiment with different phrasing to find the most efficient version of your prompt.

Why Token Counting Matters

Accurately counting tokens is critical for several reasons:

  • Avoid Truncation: Exceeding token limits can cut off responses.

  • Control Costs: GPT usage is priced per token, so fewer tokens mean lower expenses.

  • Improve Responses: Well-structured, concise prompts often yield better AI outputs.

How it works

This online tool uses the same tokenization algorithm as found in the Open AI GPT 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 Chat GPT, or any GPT model version, and make sure you're never over the limit.

How Do I Count GPT Tokens?

To calculate the exact number of tokens for a prompt, 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 GPT 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 GPT token counter above and let us do the hard part for you!

Do all AI models count tokens the same?

Not all models count tokens the same. GPT token counts may be slightly different than token counts for Google Gemini 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 Open AI's GPT models, use the token counter provided on this page and select your model version (or use the default).

Try TokenCount.io Today

TokenCount.io is your go-to tool for counting tokens, optimizing prompts, and ensuring seamless interactions with GPT models. Start simplifying your AI workflow and managing your tokens effectively today!