إعلان يسار
Token Counter
Estimate the number of tokens in your text for AI models.
How to Use
1
Enter or paste your text.
2
Click "Count Tokens".
3
View tokens, cost estimate, and context usage.
Text
إعلان داخل المحتوى
About This Tool
What Are Tokens?
Tokens are the basic units AI models use to process text. A token can be a word, part of a word, or punctuation. English averages ~4 characters per token.
How Does It Work?
The tool estimates tokens using the ~4 chars/token ratio. GPT-4 supports 128K context tokens. Costs are calculated based on OpenAI's pricing.
Common Uses
- Estimate API costs before sending requests
- Check if text fits within model context limits
- Optimize prompts for efficiency
- Compare token counts across different texts
- Manage token budgets in applications
Tip: Arabic and Asian languages use more tokens per word than English. GPT-4 Turbo costs $10/1M input tokens.
Sources & References
- OpenAI Tokenizer — OpenAI's official tool for accurate token counting
- OpenAI Pricing — Pricing details for different model token usage
Frequently Asked Questions
A token is the smallest unit of text an AI model processes. It can be a word, part of a word, or a punctuation mark.
GPT-4 Turbo supports up to 128,000 tokens of context, roughly equivalent to a 300-page book.
GPT-4 Turbo costs ~$10 per million input tokens and ~$30 per million output tokens. Costs vary by model.
Both models use similar tokenization (BPE encoding), but GPT-4 Turbo supports up to 128K context tokens while GPT-3.5 Turbo supports 16K. The token counting method is similar but costs and context limits differ significantly.
You can reduce tokens by writing concisely, removing extra whitespace, using abbreviations, avoiding repetition, and structuring prompts efficiently. For code, minification significantly reduces token count.
Other Tools You Might Like
إعلان يمين