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PromptUtils

Token Counter

Count LLM tokens and view context usage

Token Counter

Paste your text to see how many tokens it will consume. Supports GPT-4, GPT-3.5, Claude, and other models.

Token Count
0
0%

How it works

This tool uses an approximation: roughly 4 characters = 1 token for English text. Different models and languages may vary.

For production use, consider using official tokenizers (tiktoken for OpenAI, etc.).

How to Use This Tool

  1. Paste your text – Copy and paste the content you want to analyze into the input field above
  2. Select a model – Choose your target LLM (GPT-4, Claude, etc.) from the dropdown
  3. View results instantly – See total tokens, percentage of context used, and remaining tokens
  4. Copy the count – Use "Copy Token Count" button to save results to clipboard

Common Use Cases

  • Estimate API costs before sending prompts to LLM services
  • Ensure your prompt fits within the model's context window
  • Optimize prompt length for faster API responses
  • Compare token efficiency across different models
  • Plan training data sizes for fine-tuning models

Example

Input: "Tell me about artificial intelligence in 50 words"

Output:
• GPT-4: ~20 tokens
• GPT-3.5: ~22 tokens
• Claude 3: ~19 tokens

Different models tokenize slightly differently, so check model-specific tokenizers for exact counts.

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