for my use cases they are very close to ChatGPT4 and I primarily use GPT4 for multimodal prompts and responses. synchronous voice conversations, Dalle3 images, uploading images to it.
they all lean to be agreeable out the box, but the aforementioned two will stick to their guns harder and tell you that you're wrong. you have to ask all of them to take the other side for more insight.
with ChatGPT4, for example, I posted a conversation where I felt that a woman I was dating gave a response to my followup that was way negative and way out of left field. It told me she had a disproportionally negative response to a benign text. Then in another session I posted my post and told it to predict her response, and it predicted a variety of responses some of which were like the woman's and this time it told me why. This means it was being too agreeable and affirming my feelings the first time, unprompted, while actually giving insight in the second session without knowing there was an existing reaction to navigate.
(Analogous to how we have to patch our speech to never blame the victim even though we know there are measures they could have taken to mitigate that scenario. While if the same person asks in advance we would give them advice.)
Dumbfounded that its predictive qualities were better than its affirmation-by-default trait, I told it to act like the woman's friends who have no context of me if they saw my message, I told it to act like redditors on /r/relationship_advice responding to the woman who similarly have no context beyond what OP feels. you have to create outside observers, and you can run all of these alternate realities within 3 minutes. It will begin crafting responses that break the conversation molds you might be more familiar with and get better results, but if all that sounds too much, you can simply tell it to disagree with you.
in LM Studio you can modify the system prompt and change the temperament