Model Council in Perplexity – Aggregates multiple AI model responses for consensus

Summary: Model Council runs queries across three advanced models simultaneously and synthesizes their outputs to highlight agreements and differences, providing a more reliable answer. It integrates diverse model perspectives into a unified response within Perplexity.

What it does

It executes a query on multiple frontier models like GPT-5.2 and Claude Opus at once, then merges their results to emphasize consensus and conflicts for higher confidence.

Who it's for

Users seeking combined insights from several advanced AI models to obtain nuanced and balanced answers.

Why it matters

It addresses the limitations of choosing a single best model by synthesizing multiple perspectives for improved response quality.