Token Counter for GPT, Claude, Gemini, and Llama Models
Free online token counter tool to count tokens for GPT-4, GPT-3.5, Claude 3, Gemini, and Llama before making API calls. Calculate token usage accurately.
How to Count Tokens for LLM APIs - Step by Step Guide
Select Your LLM Model
Choose the LLM model you're working with. Different models use different tokenizers and have different context limits:
Example: Choosing the Right Model
If you're using the OpenAI API:
Model: gpt-4-turbo-preview Context Window: 128,000 tokens Tokenizer: cl100k_base (GPT-4)
Input Your Text or Prompt
Paste your prompt, message, or any text you want to tokenize. The counter works with:
Example: Sample Prompt Text
Here's a typical prompt you might count tokens for:
You are a helpful AI assistant specialized in data analysis. Analyze the following sales data and provide insights about trends, outliers, and recommendations for the next quarter. Data: [sales figures, dates, regions...]
Token count will be calculated instantly as you type!
View Token Count & Statistics
Get instant, accurate token counts and helpful statistics:
Optimize Your Prompt (Optional)
Use the insights to optimize your prompts and reduce API costs:
Frequently Asked Questions
What is a token in GPT/LLM context?
A token is a unit of text that AI models process. In English, one token is roughly 4 characters or 0.75 words. For example, "Hello, world!" is typically 4 tokens. Different models use different tokenizers, so the same text may have different token counts across GPT-4, Claude, and other models.
Why do I need to count tokens before API calls?
LLM APIs like OpenAI and Anthropic charge based on tokens, not characters. Counting tokens helps you estimate costs, ensure your prompts fit within context limits (e.g., GPT-4's 8K-128K window), and optimize for efficiency. Exceeding limits results in truncated responses or API errors.
Which models does this token counter support?
Our token counter supports all major LLM models: GPT-4 (including GPT-4 Turbo and GPT-4 Vision), GPT-3.5 Turbo, Claude 3 (Opus, Sonnet, Haiku), Claude 2, Google Gemini Pro, and Llama 2/3 models. Each uses the correct tokenizer for accurate counts.
How accurate is the token count?
Our token counter uses the official tokenizers from OpenAI (tiktoken), Anthropic, and Google to provide exact token counts. The results match what you'll be charged by the API providers. For GPT models, we use the same cl100k_base and p50k_base encodings as OpenAI.
How can I reduce my token count?
Several strategies: Remove unnecessary words, use abbreviations, convert JSON to TOON format (50% reduction), compress whitespace, and structure prompts efficiently. For JSON data in prompts, TOON format is especially effective at reducing tokens while preserving all information.
Is this token counter free to use?
Yes! This token counter is completely free with unlimited usage. No registration, no API keys needed, and no hidden costs. Count tokens for any LLM model as many times as you need for development, testing, and optimization.
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