Loading your tools...
Loading your tools...
Estimate prompt size quickly before sending requests to LLM APIs.
Loading Tool...
Choose the conversion direction: tokens-to-words or words-to-tokens.
Enter your value as a whole number or decimal.
Run the conversion and copy the estimated output.
Use the estimate to plan prompt size, context usage, and expected cost range.
Prompt engineering and context window planning
Rough API cost forecasting
Content brief sizing before batch generation
Team handoff for model usage estimates
Tokenization differs by model and tokenizer implementation, so this page intentionally frames results as estimates. It helps you move fast during planning while keeping expectations realistic.
For production-critical counting, use model-specific tokenizers. For daily planning and editorial workflows, a fast approximation is often enough to avoid oversized prompts and unexpected spend.
Use this converter as a pre-check, then validate with the exact tokenizer used by your target model for final production limits.
Estimates are best for quick planning. Exact token counting is required for model-limit enforcement and deterministic cost controls.
A practical flow is estimate first, draft prompt, then validate exact tokens before running high-volume or long-context requests.
Estimated ratio used: 1 token is approximately 0.75 English words.
Actual token counts vary by model tokenizer, punctuation, language, and formatting.