The competitive edge of the o1 models is their ability to excel at reasoning. This is due to the training approach that taught them to think before responding and, as a result, allowed them to try different strategies before landing on an answer.
Therefore, the o1 model is very strong in math, science, and coding. For example, it scored 83% on the International Mathematics Olympiad (IMO) qualifying exam. For comparison, GPT-4o correctly solved only 13% of problems. As a result, when solving a hard or complex STEM problem, this model is your best option.
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Even though this performance might lead you to believe it is a better alternative in all case scenarios, that is not the case. Because o1 is an early model, it lacks key ChatGPT features, such as internet browsing and accepting media uploads, and as a result, for now, GPT-4o remains the better option for most requests.
ChatGPT Plus and Teams users can toggle between the different models depending on the prompt, so they don’t have to commit to using one or the other. To make it easier to decide which to use, OpenAI is working on a feature that allows ChatGPT to choose the best model automatically based on user prompts.
