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Perplexity has launched Model Council, a new AI feature that runs queries across three models at once, compares their responses and highlights key insights, helping users verify information, reduce inconsistencies and make better-informed decisions faster.
Perplexity has introduced a new artificial intelligence feature aimed at improving the accuracy and depth of responses on its platform, allowing users to cross-check answers from several models at once.
Called Model Council, the tool enables users to submit a single query to three separate AI models simultaneously. The system then analyses the outputs and presents a consolidated view, highlighting key insights, areas of agreement and points of difference.
Tackling inconsistent AI responses
As AI systems become more sophisticated, their methods of reasoning and presenting information can vary widely. The same complex question posed to different chatbots often produces noticeably different answers, which can leave users unsure which version to trust.
Perplexity says this inconsistency can be frustrating, particularly for people conducting research or making important decisions. Reading and comparing multiple responses manually is time-consuming and inefficient.
Model Council is designed to address that issue by automating the comparison process.
How it works
Users select three AI models within the platform and submit their question. Each model generates an independent response. Perplexity’s built-in synthesiser then reviews the outputs and compiles them into a structured table.
This summary format shows where the models agree, where their views diverge and flags any unique insights offered by a specific system. Users can also open and examine each model’s full answer separately if they wish to dig deeper.
The company says this approach allows people to grasp the headline information quickly while still retaining the option to verify details.
Focus on accuracy and perspective
Perplexity suggests the feature will be most useful in scenarios where precision and breadth of perspective matter. Suggested use cases include investment research, complex decision-making, creative ideation and fact-checking.
By drawing on multiple AI viewpoints at once, the company hopes users will gain a more rounded understanding rather than relying on a single source.
Availability
Model Council is currently limited to Perplexity’s Max subscribers. The firm has indicated that the feature could expand to its Pro tier in the near future.
English (US) ·