I did experiments with Claude Sonnet and Opus and also with Gpt-5, the latter via my Perplexity subscription. My experience with Claude was mixed; most output required significant re-work which mostly consumed the time savings enabled by Claude. In contrast, Gpt-5 was able to generate code for several complex problems and made different transpilations for me, and the generated code usually compiles and correctly runs up front, all covered by my Perplexity subscription.
back
And was it worth it? What were you able to achieve with the LLM-support you payed for? How much time did you save?
1 comments
For me it's about the value-to-token ratio feeling off, as I stated in another comment.
> What bugs me most is that many of those 340M tokens feel wasteful? Like the LLM will use 50k tokens exploring dead ends before finding a solution that could have been expressed in 5k tokens. The productivity gain is real, but it feels like I'm paying 10x more than what should be "fair" for the actual value delivered.