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Token-Zähler & Analysator

Schätzen Sie die Token-Nutzung für LLMs wie GPT-4 und 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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