Thread

1. minimaxir · 1790702170 · focus · HN ↗

   > Cached input costs just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing

   This is the actual big announcement. 50% cheaper cache than GPT-6 Sol will get you far more mileage on Codex.

   1. TuxSH · 1790702497 · focus · HN ↗

      Exactly half as expensive as Opus 5.5 in every API pricing metric

      1. bigwheels · 1790703039 · focus · HN ↗

         And half as good. I didn't have great experiences with Anthropic models in the past, but Opus 5.5 seems to have turned a major corner. It is churning through tasks significantly more quickly and efficiently.

         Suggest trying it out yourself: Ask for something difficult from GPT-6 Sol and Opus 5.5 and watch what each one does. The difference is stark.

         Edit: Defining "difficult" as a complex coding or systems task (or even series of them in a single prompt).

         1. Infinity315 · 1790703186 · focus · HN ↗

            I'm not an OpenAI simp, but how anyone can have any opinion on the performance of these models in less than a day - let alone a few hours - is beyond me.

            1. AndrewKemendo · 1790703338 · focus · HN ↗

               Only takes 5-10 minutes to test your favorite one shot comparison prompt.

               1. edgyquant · 1790704201 · focus · HN ↗

                  Can you give an example? For me I find that one shot prompts are pretty good it’s only when working with large codebases and complex, multi prompt workflows, that I find the real limitations of models

                  1. AndrewKemendo · 1790708580 · focus · HN ↗

                     Yeah the whole Pelican riding the bike is the best obvious one

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