AI Coding Field Notes

Coding agent pricing comparison: cheapest LLM API for coding, cost per million tokens, from the OpenRouter price list as JSON and CSV. An AI model token price comparison repriced at a real agent mix — 95.6% cached input pricing, 6.5x off list: prompt caching price, cache read price, cache hit share, long context pricing, DeepSeek peak/off-peak.

View the Project on GitHub xyzs996/llm-api-pricing

GPT-5 costs and claims: every figure from a sentence that names it

4 of the 408 figures in these field notes come from a sentence that names GPT-5. 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 GPT-5 and some only measure against it — a competitor’s price quoted next to GPT-5’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 GPT-5 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.

The figures

All 408 figures, every kind · JSON · CSV

Where these 4 came from

Did this answer it? A star on the repository is the whole ask — the data is CC BY and does not require starring.

A GPT-5 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 GPT-5.

Or is one of the 4 above already out of date? Say which one — the form already knows it is about GPT-5; you only have to say what the number is now.


All write-ups