GPT-4o 'mini' a cheaper multimodal AI model

Given the significant cost savings offered by GPT-4o mini and high performance benchmarks on a number of tasks and tests, the question naturally arises: Why would a developer pay more money to use the full GPT-4o model when the mini one is now available?

OpenAI believes that for the most computationally-intensive, complex, and demanding applications, the full GPT-4o is still the way to go, and justifies its higher price in comparison.

“Let’s assume I’m building medical applications that I’d like to summarize and propose some diagnosis for patients,” [Olivier] Godement gave as one example. “I’m basically going to optimize for intelligence. I want to make sure they get the most intelligent model out of the box. Similarly, if you’re building a software engineering assistant and working on a pretty complex codebase, you will still be see (sic) better results with GPT-4o. If intelligence differentiates your product, I recommend you stick with GPT-4o and you’ll get the best results.” 



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