Perplexity has launched Model Council, a new feature designed to cross-check AI-generated responses by comparing outputs from three different AI models within a single query. The tool highlights areas of agreement, differences, and unique insights, aiming to improve accuracy for research, investment analysis, fact-checking, and complex decision-making.Currently available to Perplexity Max users, Model Council addresses a growing challenge in generative AI: confidence versus correctness. By surfacing multiple model perspectives side by side, Perplexity is positioning the feature as a safeguard against hallucinations, bias, and overreliance on a single model’s output.
Strategically, the move reflects a broader shift toward verification-first AI workflows, especially for high-stakes use cases where accuracy and transparency matter more than speed alone. Rather than presenting AI as a single authoritative voice, Perplexity is encouraging model diversity and comparative reasoning as part of the decision process.For professionals and enterprises, Model Council could redefine how AI is used in critical thinking and analysis, turning AI from an answer engine into a collaborative reasoning system. It also strengthens Perplexity’s differentiation in an increasingly crowded AI search and research market.
Overall, Model Council signals the next phase of generative AI adoption, where trust, explainability, and cross-validation become central to how AI systems are evaluated and deployed.
