Perplexity’s multi-model AI system

Perplexity’s multi-model AI system routes queries to the best-suited models in parallel, letting users tap teams of models like GPT-5.2, Claude Opus, and others for better accuracy and depth. It synthesizes outputs for reliable answers.

Perplexity now runs queries across multiple AI models simultaneously rather than relying on a single model, using a multi-model orchestration approach.

Its Model Council feature sends prompts in parallel to top systems such as Claude Opus 4.6, GPT-5.2, and Gemini 3.0, then synthesizes their responses into one unified answer with consensus and disagreements highlighted.

This design aims to improve accuracy and reduce blind spots by combining strengths from different models. The platform routes work to models best suited for reasoning, search grounding, or creative tasks, reflecting a shift toward coordinated multi-model AI workflows.

OpenAI