Yes, you will find similar things at essentially all other model providers.
The older/bigger GPT4 runs at $30/$60 and peforms about on par with GPT4o-mini which costs only $0.15/$0.60.
If you are currently, or have been integrating AI models in the past ~2 years, you should definitely keep up with model capability/pricing development. If you are staying on old models you are certainly overpaying/leaving performance on the table. It's essentially a tax on agility.
Just switch out gpt-4o-mini for gpt-4o, the point stands. Across the board, these foundational model companies have comparable, if not more powerful, models that are cheaper than their older models.
OpenAI's own words: "GPT-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities."
I found that gpt-4-turbo beat gpt-4o pretty consistently for coding tasks, but claude-3.5-sonnet beat both of them, so it's what I have been using most of the time. gpt-4o-mini is adequate for summarizing text.
> Yeah, I mean that's why we're both here and why we're discussing this very topic, right? :D
That wasn't specifically directed at "you", but more as a plea to everyone reading that comment ;)
I looked at a few benchmarks, comparing the two, which like in the case of Opus 3 vs Sonnet 3.5 is hard, as the benchmarks the wider community is interested in shifts over time. I think this page[0] provides the best overview I can link to.
Yes, GPT4 is better in the MMLU benchmark, but in all other benchmarks and the LMSys Chatbot Arena scores[1], GPT4o-mini comes out ahead. Overall, the margin between is so thin that it falls under my definition of "on par". I think OpenAI is generally a bit more conservative with the messaging here (which is understandable), and they only advertise a model as "more capable", if one model beats the other one in every benchmark they track, which AFAIK is the case when it comes to 4o mini vs 3.5 Turbo.
