Count tokens for ChatGPT, Claude, Gemini and GPT-4 instantly. See context window usage, word count, character count and estimated API cost — all free, no signup.
Our free ChatGPT token counter is the fastest way to count tokens for ChatGPT, Claude, Gemini and all major AI language models — completely free with no signup, no account and no usage limits. Simply paste any text or prompt and our free token counter instantly shows your token count, word count, character count, context window usage percentage and estimated API cost for all major AI models simultaneously.
Understanding token counts is essential for anyone using AI APIs professionally. According to OpenAI’s official token documentation, tokens are the basic unit of text that AI language models process — roughly 4 characters or 0.75 words per token in English. Every API call to ChatGPT, Claude or Gemini is priced per token, and every model has a maximum context window measured in tokens. Our free ChatGPT token counter helps you stay within limits and control costs before making expensive API calls.
Whether you are a developer optimising prompts for the OpenAI API, a content creator checking if your article fits within Claude’s context window, or a business owner estimating AI API costs before committing to a project — our free ChatGPT token counter gives you instant, accurate token estimates for all models at zero cost. Combine it with our free AI Content Detector for a complete AI content workflow, or use our Robots.txt Generator to protect your content from AI scrapers.
Our free ChatGPT token counter updates live as you type — no button click needed for basic counting. Here is how to get the most from every feature of our free token counting tool. For API developers, combine this with OpenAI’s official tokenizer for byte-pair encoding (BPE) level precision on GPT models. Our free tool uses a highly accurate approximation (average 4 characters per token) that works reliably across all major AI models.
Click your target AI model from the 6 model buttons at the top — GPT-4o, GPT-4, GPT-3.5, Claude 3, Gemini or GPT-4 Mini. This sets the context window size for the usage bar and remaining tokens calculation.
Paste any text into the large textarea — blog posts, system prompts, code, emails or any content you want to measure. The token count, word count and character count update live instantly as you type or paste.
The context window usage bar shows what percentage of your selected model’s context limit you are using. Green means safe, yellow means approaching the limit and red means you are near or over the maximum context window.
The 6 stat cards show your token count, word count, character count, sentence count, paragraph count, context percentage used and tokens remaining in your selected model’s context window.
The API cost table shows estimated input token costs across GPT-4o, GPT-4, GPT-3.5 Turbo and Claude 3 Sonnet simultaneously. This helps you choose the most cost-effective model for your specific use case.
Review the token saving tips panel to reduce your token count and API costs. Remove filler words, use bullet points instead of paragraphs and strip code comments before sending to the API to save significant costs at scale.
Token counting is no longer just a developer concern — it is essential for anyone using AI tools professionally. As AI API costs scale with usage, understanding your token consumption directly impacts your AI budget. According to McKinsey’s 2026 State of AI report, businesses using AI APIs spend an average of 23% more than necessary due to inefficient prompt design and token waste. Our free ChatGPT token counter helps you optimise prompts before sending them — saving real money at scale.
Every token costs money on paid AI APIs. Our free ChatGPT token counter shows your exact cost estimate before sending — so you can optimise prompts and save money on every API call at scale.
Each AI model has a maximum context window. Exceeding it causes errors or truncated responses. Our free token counter shows your context usage percentage so you always know when you’re approaching the limit.
Better prompts use fewer tokens and get better results. Use our free ChatGPT token counter to measure the impact of prompt changes — removing unnecessary words, restructuring instructions and tightening system prompts.
Different AI models have vastly different context windows and pricing. Our free token counter shows costs for GPT-4o, GPT-4, GPT-3.5 and Claude simultaneously — helping you choose the right model for every task.
Our free ChatGPT token counter supports 6 major AI models. Understanding each model’s context window and pricing helps you make the right choice for your use case. According to OpenAI’s model documentation and Anthropic’s API pricing, costs and context windows vary dramatically across models — choosing wisely can reduce your AI costs by 90% or more.
| Model | Context Window | Input Cost (per 1M tokens) | Best For |
|---|---|---|---|
| GPT-4o | 128K tokens | $5.00 | Complex reasoning, long documents, multimodal tasks |
| GPT-4 | 8K tokens | $30.00 | High accuracy tasks where quality outweighs cost |
| GPT-3.5 Turbo | 16K tokens | $0.50 | High volume simple tasks, chatbots, classification |
| Claude 3 Sonnet | 200K tokens | $3.00 | Very long documents, book analysis, large codebases |
| Gemini 1.5 | 1M tokens | $0.075 | Extremely long context, video analysis, massive datasets |
| GPT-4 Mini | 128K tokens | $0.15 | Cost-efficient tasks needing GPT-4 quality at lower price |