ChatGPT Token Counter

AI Tools

Count tokens for ChatGPT, Claude, and GPT-4. Free token counter with pricing estimator for OpenAI API costs and usage limits.

100% Client-Side. Your data never leaves your device.

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How to use ChatGPT Token Counter

  1. 1Enter your input in the text area above
  2. 2Click the action button to process your data
  3. 3View the result and copy it to your clipboard

Common Use Cases

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Quick Processing

Process your data quickly and efficiently.

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Secure & Private

All processing happens in your browser.

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Free to Use

This tool is completely free with no signup.

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Mobile Friendly

Works on any device with a browser.

Frequently Asked Questions

What are tokens in ChatGPT and how are they counted?

Tokens are chunks of text that AI models process. 1 token β‰ˆ 4 characters or 0.75 words in English. For example, 'hello world' = 2 tokens, 'unbelievable' = 4 tokens (un-be-liev-able). GPT-4 and Claude count tokens similarly. Our counter accurately estimates tokens for any text input, helping you stay within API limits and budget.

How much does ChatGPT/GPT-4 API cost per token?

OpenAI API pricing (as of 2024): GPT-4: $0.03 per 1K input tokens, $0.06 per 1K output tokens. GPT-4 Turbo: $0.01 per 1K input, $0.03 per 1K output. GPT-3.5 Turbo: $0.0005 per 1K input, $0.0015 per 1K output. Claude: Similar pricing to GPT-4. Our calculator estimates costs based on your token count and model selection.

What are the token limits for different AI models?

Token limits vary by model: GPT-3.5 Turbo: 4,096 tokens (about 3,000 words), GPT-4: 8,192 tokens (about 6,000 words), GPT-4 Turbo: 128,000 tokens (about 96,000 words), Claude 3: 200,000 tokens (about 150,000 words). These limits include both input and output tokens. Exceeding limits causes errors or truncation.

How can I reduce token usage and API costs?

To reduce token usage: Be concise in prompts (avoid unnecessary context), Use system messages efficiently, Summarize long conversations instead of sending full history, Use GPT-3.5 for simpler tasks (cheaper), Cache responses when possible, Batch multiple requests, and Monitor usage with our counter to stay within budget.

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