Parallel multi-model queries
Runs one query across three models available on Perplexity at the same time, reducing the need to compare responses manually.
Model Council
Perplexity Model Council is a multi-model research feature that runs a query across several AI models and combines the results into one answer. It is available to Perplexity Max subscribers on the web, with mobile app support coming soon.
Overview
Model Council is a multi-model research feature from Perplexity that sends the same query to several AI models and returns one synthesized answer. The blog post says it is designed to help users compare model outputs without manually checking each model one by one.
When Model Council is selected in the main Perplexity interface, the query runs across three models available on Perplexity, such as Claude Opus 4.6, GPT 5.2, and Gemini 3.0. A synthesizer model then reviews the results, resolves conflicts where possible, and highlights where the models agree or differ.
Core features
Synthesized final response
Uses a synthesizer model to review outputs and produce a single combined answer.
Agreement and difference comparison
Shows where model outputs agree and where they differ, which helps readers judge confidence and spot uncertainty.
Built into the Perplexity interface
Lets users select Model Council from the main Perplexity interface rather than switching between separate tools.
Cross-model research workflow
Supports research and decision-making workflows where different model strengths can surface different angles on the same question.
Common use cases
Investment research
Use Model Council to compare multiple model perspectives on stocks, markets, or other financially sensitive topics where a single answer may miss important nuance.
Complex decisions
Ask it when evaluating major purchases, career choices, or strategic tradeoffs and you want several reasoning approaches in one pass.
Creative brainstorming
Use it to generate ideas for gifts, travel plans, or content when you want varied suggestions from different model strengths.
Verification
Use it to cross-check facts or claims when accuracy matters and you want to know whether several models converge on the same answer.
Pros and Cons
Pros
- Brings several model outputs into one answer instead of requiring manual comparison.
- Surfaces agreement and disagreement between models, which is useful for checking confidence.
- Fits research and decision workflows where model choice can materially affect the outcome.
- Available directly in the main Perplexity interface.
Cons
- The feature is currently limited to Perplexity Max subscribers on the web.
- Mobile app support is announced as coming soon, so it is not yet available there.
- The source does not provide detailed pricing, limits, or team/admin controls.
FAQ
Who can use Model Council right now?
Model Council is available to Perplexity Max subscribers on the web, with mobile app support coming soon.
How does Model Council work?
The feature runs the same query across three models available on Perplexity, then uses a synthesizer model to combine the outputs into one answer.
When should I use Model Council instead of a single model?
Perplexity says Model Council is useful when accuracy and perspective matter, including research, complex decisions, creative brainstorming, and verification.
Does Model Council require any special setup?
The source notes that Model Council runs in the main Perplexity interface; it does not describe a separate setup flow or additional configuration steps.
Quick Facts
- Category
- AI Research
- Product
- Model Council
- Company
- Perplexity
- Platform
- Web; mobile app support coming soon
- Availability
- Perplexity Max subscribers
- Source domain
- perplexity.ai
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