What is a token?
A token is the basic unit LLMs process — roughly 0.75 English words or 0.5-1 Chinese characters. Models bill per token, so understanding it helps control cost.
How do I estimate AI call cost?
Count tokens, then multiply: input tokens × input rate + output tokens × output rate for a single-call estimate.
How accurate is it?
Approximate tokenization — within ~10% of GPT/Claude counts — sufficient for budgeting and length control.
Is online counting safe?
Safe. Computation runs locally; text never uploads, suitable for unpublished prompts and code.
What is the token counter best for?
Prompt length control, API cost estimation, context-limit avoidance, dataset sizing and model pricing comparison.
Are there limits on free use?
No. Free, no registration, real-time long-text counting.
What does 128K context mean?
The model handles ~131072 tokens per conversation; the progress bar shows current usage to flag overruns.
Do Chinese and English differ?
Yes — English ~0.75 word/token, Chinese ~1 char/token; mixed text is estimated per segment.