Prompt Token Counter
Count characters, words, and estimate tokens for LLM prompts. Useful for OpenAI, Claude, and other AI APIs.
Count tokens for AI prompts
Models charge and truncate by tokens, not raw characters. This tool helps before you hit provider limits—state clearly whether estimates are exact per vendor tokenizer or heuristic so you avoid misleading claims.
How Prompt Token Counter Works
Paste or enter your input in the field above. Most tools update in real time. Click the Copy button to copy the output. All processing happens in your browser—your data never leaves your device unless the tool explicitly uses a server feature (such as URL shortening or bcrypt hashing).
This tool is part of the LLM Tools category. Check similar tools below. All everytools are free, no signup required. Works on desktop and mobile.
Common Use Cases
- Trim RAG chunks before embedding cost explodes
- Size few-shot examples to fit context windows
- QA prompt templates before production rollouts
- Pair with JSON extractors when models return structured output
Guides & platform tips
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Frequently Asked Questions
- Why does my count differ from OpenAI’s tokenizer?
- Exact counts depend on the model’s Byte-Pair Encoding or SentencePiece vocabulary. Use vendor tooling when billing precision matters; use this page for quick ballparks.
- Tokens vs words?
- English averages roughly 0.75 tokens per word but code and rare tokens skew higher. Measure real prompts from your product, not averages alone.