Resource
Estimate Token Usage Before You Run It
Know how many tokens a job will consume before you send it — input plus an assumed response, costed per call and at scale.
Token Counter resources
Estimate how many tokens a prompt is and what it costs — honest ranges across GPT, Claude, and Gemini, with per-call and per-1,000-call pricing.
Resource
Token Counter for AI Prompts
Paste a prompt, get an honest token estimate — a range, not a fake-precise number — plus the cost across GPT, Claude, and Gemini.
Resource
Calculate AI API Cost for a Prompt
Turn a prompt into a dollar figure: input cost, output cost, combined per call, and the number that actually matters — cost per 1,000 calls.
Resource
Count Tokens Before Sending to the API
A quick pre-flight check: count a system prompt's tokens and cost before it ships, so the bill and the size hold no surprises.
Resource
Count Tokens in Code
Code is not prose: symbols, indentation, and punctuation push it to more tokens per character. This counts a real snippet so the difference is visible.
Resource
Estimate Cost per 1,000 Calls
A classification call costs a fraction of a cent — until you run a million of them. This prices a small repeated prompt at the scale that actually bills.
Resource
Reduce Token Usage to Cut Cost
Measure first, then trim. This counts a padded, over-polite prompt so you can see the tokens the filler is costing — before you cut it.
Resource
Tokens vs Characters — Why They Differ
A token is not a character. This shows the gap on a real prompt — characters, tokens, and the ratio between them — so the difference stops being abstract.
Resource
Tokens vs Words — How Many Tokens per Word
Word count feels intuitive, but models bill tokens. This shows tokens per word on a real article so you can convert between the two with eyes open.
Resource
Why Token Counts Vary Between Models
The same text is a different number of tokens on GPT, Claude, and Gemini. This shows the spread on multilingual text — which is why an honest count is a range.