Open dataset of AI model costs: token pricing, cost per million tokens, and every published figure (prices, percentages, multiples, token counts and durations) as JSON and CSV. Figures are one row each, carrying the sentence they came from. Plus the field notes behind the numbers.
4 of the 335 figures in these field notes come from a sentence that names ChatGPT. Each one is quoted verbatim from the write-up it appeared in, with the day that write-up went out.
Some of these are about ChatGPT and some only measure against it — a competitor’s price quoted next to ChatGPT’s belongs here too, because that is the sentence someone searching for the comparison is looking for. The sentence tells you which is which.
This is not a ChatGPT price sheet. Nothing here is read off a vendor page. These are figures a working developer wrote down, and the date is the day the piece was published — not the day the price was in force. Model prices move fast: read every row as of its own date, and treat an old one as a lead rather than a quote.
All 335 figures, every kind · JSON · CSV
A ChatGPT figure that is not here yet? Say which metric, which unit, and where you read it — in one line. The form already knows it is about ChatGPT.
Or is one of the 4 above already out of date? Say which one — the form already knows it is about ChatGPT; you only have to say what the number is now.