This AI price index might offer a small piece of the puzzle, but claiming it's the essential information for understanding why programming model leadership shifted is just too simplistic.
Real operational friction and switching costs usually dictate these moves more than just a theoretical price-to-intelligence benchmark.
If a new Claude Sonnet version is cheaper but breaks our existing development tools or needs massive retraining, that price means nothing; the invalidation of established workflows is a bigger trigger.
For instance, we've seen companies stick with older, slightly more expensive software because the cost of migrating and re-integrating a new system, even if it's technically 'smarter,' is just too high to make it worth it.