I just wish it were easier to keep up with which models are good for what. Especially with the introduction of the research assistant, I have no idea whether I should be using that or one of the standalone models. And don't even get me started on trying to pick the best open model, it's always fluctuating.

I often try 2 different models with the same prompt in case one misses anything. But most of the times I do not see much difference. Newer models do not seem to improve search that much, so I do not think you have to stress too much about new models etc. In general I stick with kimi 2.6 reasoning because it is very very cheap and does thorough searching. I do not see much gains with using more expensive models like opus etc, so I prefer to use multiple cheaper, open models simultaneously except for "harder" queries. The advantage of the cheaper open models is that you can prompt 2-3 of them and if you see the results unsatisfactory you can retry with more expensive ones. And ime sometimes models that are not talked much, like gemini pro, perform quite good.

I think there is a lot of space for improvement on "searching skills" though, sometimes the search strings they use are not great.