AI software is quietly migrating from seats to meters. Buy a plan and you no longer get features — you get a monthly allotment of credits, tokens, actions, or outcomes that deplete as you work. The AI Credit Index is a quarterly study of how that meter is priced and governed across 52 products, read only from vendors’ own public pages and archived row by row.
What you are reading This is the current view: the latest published observation for each product, observed 2 Jun – 29 Jun 2026. It is identical to Edition 1 (cut-off 2026-06-30) — nothing has been captured since. Cite an edition for a reference that will not move; download the JSON or CSV of this view; see how a row is built.
The headline number is a warning, not an answer: the median bundled rate is about 1.5¢ per credit, but published rates run from $0.0000018 to $25 — a spread of more than 13 million to one. A “credit” is not a unit; one buys a tweet in one product and a feature-film shot in another. So the Index never compares raw $/credit across products — it compares how products treat the same credit.
Each dot is one plan's bundled $/credit on a log scale (134 rates); aubergine marks each category's median, shown only where the category has ≥5 products. The shape is a map of unit-size: the cheap end meters tokens (coding, incumbents), the dear end prices whole outcomes or seats (support/CX, dev platforms).
SoF · The AI Credit IndexRead this three ways
The Index is built in three layers. Take the facts as a citable source; use the analysis to see the patterns; then turn it into your own pricing decisions.
Or jump to Packaging (free tiers, grants, annual terms), The fine print (expiry, overage, what happens at zero), Transparency, or What’s changing. For a single product’s history — its rung, its moves since January 2025, and its likely next step — see the per-product Reviewed pages. The full panel, source ledger, and method live under Methodology & data.