Capital & Compute

AI costs

Token prices are the sticker. Context windows, retries, cache misses, subscription floors and the work an agent abandons halfway decide the bill. A model that looks half the price per million tokens routinely costs more per finished task, and the gap only appears once the same job is priced end to end across providers.

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95 analyses
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Model your cost per task ↗

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The featured guide stays above; the stream below moves as new analysis is published.

What this topic covers

Analysis of AI pricing, API bills, subscriptions and the real cost of completing useful work.

This topic collects 95 analyses, and they are written to be read together rather than one at a time: the featured guide sets out the shape of the problem, and the pieces below work through the individual numbers, tradeoffs and edge cases behind it. Every figure is attributed to a primary source at the point it is used and carries the date it was verified, because prices and benchmark results in this area go stale in weeks rather than years. Where a number is modeled rather than measured, the assumptions are stated so the arithmetic can be checked.

The topics on this site overlap by design. This one runs into AI markets and Coding agents, and a question that starts in one usually ends in another: a pricing decision turns into a hardware decision, a benchmark result turns into a cost question. Follow the links inside the posts rather than treating these archives as separate shelves.

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