Thank you, Joaquin Paolo. Yes, about these mini debates, it really depends on who you are and what your needs are.
If you are a developer or a researcher and you really need to use reasoning and logic to find out how to create a new medicine, there will be models that will help you better than others, and it's good to take a look at these benchmarks that we see from time to time where we see that ChatGPT already surpassed the benchmark xyz, now it's Gemini, and so on.
If you are let's say an entrepreneur, or a content producer, a blogger, a YouTuber, and if you don't necessarily have the need for a very intense type of research, then I would argue that today these models are all very close to each other. Ultimately, you have to experiment. There are some people that are finding the answers of Cloud more reliable, some others are just simply used to ChatGPT. It is also true that you have to learn how to prompt each model differently. Prompting in OpenAI's ChatGPT 4o is different from prompting an o3 or o4 model for example, and the same is true for other types of models from other companies. So, typing an advanced prompt written in the right way for Cloud or Perplexity is different from writing a prompt for ChatGPT.
Now we are in this era where we need to learn how to speak to the chatbots and LLMs to get the right level of results.
High level, I would say that Perplexity is great for conducting good research on the web with public, publicly available information. ChatGPT reasoning today with o3 and o4 is really really powerful (deep research is also super good), and Cloud is great for writing very good content and copy.
