Token Counter
Count tokens for GPT, Claude, and other LLM models
Token counts are estimates. Actual counts may vary by model. Generally, 1 token ≈ 4 characters or ¾ of a word.
How to Use Token Counter
- Paste your text or prompt into the input area
- Token count updates automatically
- See approximate counts for different models
- Use this to stay within context window limits
About Token Counter
Count tokens in your text for GPT, Claude, and other large language models. Tokens are how LLMs measure text length and determine API costs. Essential for prompt engineering, staying within context limits, and estimating API costs.
Frequently Asked Questions
What is a token?
Tokens are pieces of words used by LLMs. A token is roughly 4 characters or 0.75 words in English. "ChatGPT" might be 2 tokens.
Why do different models have different token counts?
Each model uses its own tokenizer. GPT-4 and Claude tokenize text slightly differently, resulting in different counts for the same text.
How accurate is this count?
This provides an estimate based on common tokenization patterns. For exact counts, use the official tokenizer for your specific model.
Why does token count matter?
LLMs have context limits (e.g., 8K, 32K, 128K tokens) and API pricing is per token. Knowing your token count helps manage costs and stay within limits.