Score how token-efficient your prompt is
Every token in your prompt is billed on every single call. A bloated system prompt with filler phrases, repeated instructions, and decorative padding quietly inflates your bill across millions of requests. This tool gives your prompt a 0–100 efficiency score and shows exactly where the waste is.
How the score works
The scorer estimates token count for your chosen tokenizer, then applies penalties for the patterns that waste tokens without adding information:
- Filler and hedging — words like “please”, “kindly”, “just”, “really”, “very”, “in order to”, “as you can see”.
- Repetition — repeated 3-word phrases that say the same thing twice.
- Padding — excessive whitespace, runs of punctuation, and decorative separators that cost tokens but carry no meaning.
A lean, instruction-dense prompt scores near 100; a verbose one drops fast.
Tips to raise your score
- Replace “in order to” with “to”, “due to the fact that” with “because”.
- State each rule once. Models do not need repeated emphasis to obey an instruction.
- Cut polite filler — “please”, “thank you”, “if you could” — it adds tokens and changes nothing in the output.
- Use compact formatting. Long ASCII dividers and decorative headers are pure token cost. Keep structure minimal.