Notes on OpenAI o3-mini
simonwillison.net
Notes on OpenAI o3-mini
1–10 of 81 posts
Re: Notes on OpenAI o3-mini
#2How would you rate it against Claude ? Didn’t test it yet, but o1 pro didn’t perform as good
Re: Notes on OpenAI o3-mini
#3There's a huge price difference between o3-mini and o1 ($4.40 vs $60 per million output tokens), what trade-offs in performance would justify such a large price gap?
Are there specific use cases where o1's higher cost is justified anymore?
Re: Notes on OpenAI o3-mini
#4Open AI really needs to work on their naming conventions for these things.
Re: Notes on OpenAI o3-mini
#5How would you rate it against Claude ? Didn’t test it yet, but o1 pro didn’t perform as good
I've been trying out o3 mini in Cursor today, it seems "smarter" but overall tends to overthink things and if it's not provided with perfect context it's prone to hallucinate. Overall I prefer Sonnet still. It has a certain magic of always making reasonable assumptions and finding simple solutions.
Re: Notes on OpenAI o3-mini
#6Hasn't Gemini pricing been lower than this (or even free) for awhile? https://ai.google.dev/pricing
Re: Notes on OpenAI o3-mini
#7[flagged]
Re: Notes on OpenAI o3-mini
#8How would you rate it against Claude ? Didn’t test it yet, but o1 pro didn’t perform as good
I've been trying out o3 mini in Cursor today, it seems "smarter" but overall tends to overthink things and if it's not provided with perfect context it's prone to hallucinate. Overall I prefer Sonnet still. It has a certain magic of always making reasonable assumptions and finding simple solutions.
As n occasions user and fan of Cursor, it would be good if they could explain what the models are and why the different models exist.
There’s no obvious answer of why one should switch to any of them!
Re: Notes on OpenAI o3-mini
#9Hasn't Gemini pricing been lower than this (or even free) for awhile? https://ai.google.dev/pricing
Are you insinuating Gemini is similar in performance to o3-mini?
Re: Notes on OpenAI o3-mini
#10[flagged]
Programmers have always made a living by automating ourselves out of business. Somehow, we're still doing pretty well.