All in one LLM Token Counter

LLM Token Counter

3.5 | 201 | 0
Type:
Website
Last Updated:
2025/08/20
Description:
Calculate tokens of prompt for all popular LLMs including GPT-4, Claude-3, Llama-3 using browser-based Tokenizer.
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Overview of LLM Token Counter

LLM Token Counter: A Comprehensive Tool for Managing LLM Token Limits

What is LLM Token Counter?

LLM Token Counter is a tool designed to help users manage token limits for various Language Models (LLMs), including GPT-3.5, GPT-4, Claude-3, and Llama-3. It supports many popular models and aims to provide an optimal experience in leveraging generative AI technology.

How does LLM Token Counter work?

LLM Token Counter utilizes Transformers.js, a JavaScript implementation of the Hugging Face Transformers library. Tokenizers are loaded directly in your browser, enabling client-side token count calculation. The efficient Rust implementation ensures fast token count calculation.

Why is LLM Token Counter important?

LLMs have inherent token limitations, and exceeding these limits can lead to unexpected outputs. LLM Token Counter helps you stay within the specified limits to ensure optimal performance.

Will I leak my prompt when using LLM Token Counter?

No, your prompt remains secure. The token count calculation is performed client-side, ensuring that your sensitive information is never transmitted to the server or any external entity. Data privacy is a top priority.

Where can I use LLM Token Counter?

LLM Token Counter is accessible online through a website, making it convenient to use on any device with a browser.

Supported Models:

  • OpenAI: GPT-4, GPT-3.5 Turbo, Embedding models
  • Anthropic: Claude Opus, Claude Sonnet, Claude Haiku
  • Meta: Llama 3, Llama 2, Code Llama
  • Deepseek: Deepseek R1, Deepseek V3, Deepseek V2
  • Mistral: Mistral Large, Mistral Small, Codestral

Best way to manage LLM token limits?

Use LLM Token Counter to calculate tokens before submitting your prompts to ensure compliance with token limits. Regularly update to the latest models for accurate counts.

If you have any assistance or suggestions for additional features, please feel free to reach out via email.

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