I got Claude 4 Opus to summarize this thread on Hacker News when it had hit 319 comments: https://gist.github.com/simonw/0b9744ae33694a2e03b2169722b06... Token cost: 22,275 input, 1,309 output = 43.23 cents - https://www.llm-prices.com/#it=22275&ot=1309&ic=15&oc=75&sb=... Same prompt run against Sonnet 4: https://gist.github.com/simonw/1113278190aaf8baa2088356824bf... 22,275 input, 1,567 output = 9.033 cents https://…
This just highlights that, with compute requirements for meaningful traction against hard problems spiraling skyward for each additional increment, the top models on current hard problems will continue to cost significantly more. I wonder if we'll see something like an automatic "right-sizing" feature that uses a less expensive model for easier problems. Or maybe knowing whether a problem is hard or easy (with sufficient accuracy) is itself hard.