I've been running the same coding and data-extraction tasks through a flagship reasoning model and a cheaper non-reasoning one. On genuinely hard refactors the reasoning model clearly wins, but on maybe 70 percent of my workload the output is near-identical while the token bill is an order of magnitude higher. I'm starting to think the real skill is
Reasoning models: 10x tokens, how much better?
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