AI Token Counter
Count tokens and estimate API costs for GPT, Claude, Llama and Gemini models
AI Token Counter GPT-4o
Token Statistics
Usage Examples
Prompt Cost Check
Paste your system prompt or user message to see how many tokens it uses and what it will cost across different AI models.
Conversation Budget
Estimate the total tokens for a multi-turn conversation to plan your API usage and stay within budget.
Document Analysis
Check if a long document fits within model context windows and calculate the processing cost before sending it.
Features
Real-Time Counting
Token count and cost update instantly as you type, no button click needed
Cost Estimation
Input and output costs calculated for every supported model based on official pricing
Multi-Model Support
GPT-4o, GPT-4o mini, GPT-3.5, Claude 3.5 Sonnet, Claude 3 Haiku, Llama 3.1 70B, Gemini 1.5 Flash
Privacy First
All processing is local in your browser. Your prompts never leave your device
How to Use?
Select a Model
Choose the AI model you plan to use from the dropdown menu. Pricing updates automatically.
Enter Your Text
Type or paste your prompt or document. Token count and cost estimate update in real-time.
Review the Results
Check the token count, character count, word count, and estimated input/output costs in the stats panel.
Frequently Asked Questions
What is an AI Token Counter?
An AI token counter estimates how many tokens a piece of text will consume when sent to a large language model (LLM). Tokens are the basic units that AI models like GPT-4o and Claude use to process text — roughly 4 characters or 0.75 words per token for English. Knowing your token count before making an API call lets you predict costs, avoid context window limits, and optimize your prompts.
Why Count Tokens Before Using the API?
API costs for AI models are billed per token. A long system prompt or large document can consume thousands of tokens and significantly impact your monthly bill. By counting tokens upfront, developers and businesses can trim unnecessary words, split long documents into chunks, and choose the most cost-effective model for each task. This tool shows you both input and output costs, since output tokens are usually 2-3x more expensive than input tokens.