Model Council runs your query across three top models (like GPT-5.2 & Claude Opus) simultaneously. A synthesizer merges the results, highlighting consensus and conflicts for a higher-confidence answer.
I think we are past the phase of simply asking "which model is the best?". Once models cross a certain capability threshold, comparing them to pick a winner loses meaning.
Instead, we might wanna treat them as distinct individuals with different tastes and perspectives.
That is why Model Council is so interesting. It aggregates these different perspectives. Perplexity does an excellent job of context integration here: presenting the synthesis in a way that is insightful rather than just messy. The result is a "wow" moment.
It definitely burns a ton of tokens😅so, totally understand why this is in the Max plan.
Replies
Flowtica Scribe
Hi everyone!
I think we are past the phase of simply asking "which model is the best?". Once models cross a certain capability threshold, comparing them to pick a winner loses meaning.
Instead, we might wanna treat them as distinct individuals with different tastes and perspectives.
That is why Model Council is so interesting. It aggregates these different perspectives. Perplexity does an excellent job of context integration here: presenting the synthesis in a way that is insightful rather than just messy. The result is a "wow" moment.
It definitely burns a ton of tokens😅so, totally understand why this is in the Max plan.
Remention
Like the idea. Will test later today
Really like the idea, it sounds like game changer for research purposes/needs.
Will definitely give it a go ASAP.
Congrats on the launch!