all ive done with gpt5 for coding was a major db refactor. i had run out of gemini limit for the day. certainly got the job done. I doubt my gpt 20b or ~30b lo

all ive done with gpt5 for coding was a major db refactor. i had run out of gemini limit for the day. certainly got the job done. I doubt my gpt 20b or ~30b local llm would have been as capable. Overall it was about ~2000 lines of code to change, probably only 100,000 context. gpt5 didnt one shot it. there were many steps inbetween. At the end, few hours, i had >50 linter warnings from tripled imports, loads of dead code that wouldnt be touched and for some reason gpt5 just couldnt fix any of this. Ended up increasing the warnings and added an error. My expectation is that any of the big guys could immediately fix it. Even restarted fresh context and gpt just wasnt having any of it. im certain even gpt 20b would have completed it in a minute. Curious. I went to gemini flash, very generic prompt about linter warnings and it fixed it in 30 seconds. Just kind of weirdness that benchmarks will never be able to catch. It's also going to be very dependent. A rust programmer might have a favourite, whereas python programmer benefits from another model. There can never be a best.