Token Counter & Analyzer
Estimate token usage for LLMs like GPT-4 and Claude.
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How it works
This tool tokenizes your text using common tokenization algorithms (GPT-style BPE, word-based, character-based) and counts the resulting tokens. It helps estimate API costs and context window usage for LLMs.
Common Use Cases
- Estimating OpenAI API costs before sending requests
- Checking if text fits within model context limits
- Optimizing prompts to minimize token usage
- Understanding how LLMs break down your text
Frequently Asked Questions
Why do different models count tokens differently?
Each model uses a different tokenizer and vocabulary. GPT-4, Claude, and Llama all tokenize the same text into different token counts.
Is this token count exact for my API?
This provides a close estimate using common tokenization. For exact counts, use your provider's official tokenizer (e.g., tiktoken for OpenAI).
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