I'm missing some context here.
First of all, this is a marketing piece, made for engagement.
Second, in production, you would adjust your approach to the model's strengths and weaknesses. For example, if you found that a model does not respond to the tools you are offering, then you would find a way to make it more responsive. Also, we know that different models handle prompts and system prompts differently. So comparing several models from different providers against exactly the same prompt is quite a naive way of exploring the capabilities of those models or comparing them to each other. You may have just happened to “speak the language“ of one model better than that of another. Why would that be the model’s fault and not yours?
Third, none of these results mean anything if you do not run each process on each model several times to check for consistency. Your model might just have gotten lucky. This point is even more true when you're talking about a progressive task where one step builds on the previous one. The model might just have painted itself into a corner.