ChatGPT-4o VS o1-mini
New and modern GPT-o1 mini has been crushing STEM-related tasks. Can the time-tested GPT-4o perform as effective as it's update?
This is the comparison of two frontier models, performing at the top level in the technical benchmarks. o1-mini is specifically made to succeed at STEM, and based purely off numbers - it stands in the class of its own, outclassng the rest in this regard. However, GPT-4o and OpenAI's o1-mini need to be tested neck-to-neck to really see the difference. This comparison explores this battle, looking in-detail at the models performances, to see which one better suits our needs.
The key differences between o1-mini and GPT-4o lie in their maximum output tokens and processing speed. o1-mini supports a significantly higher output of 65k tokens, while GPT-4o is limited to 16k tokens. However, GPT-4o excels in speed, generating 103 tokens per second compared to o1-mini’s 73.9. Both models share the same input context window, knowledge cutoff, and similar parameter sets. Reportedly, the newer model has much better performance in Arabic and Korean then its predecessor. The real distinction will come from testing these models to see how they perform in practice
GPT-4o holds its ground in undergraduate reasoning, but o1-mini captures the rest of the spectrum, succeeding in coding, maths and other technical tasks.
