Big news from Perplexity that changes how we should think about AI accuracy! On February 5, 2026, Perplexity launched "Model Council," a multi-model research feature that brings several models together for one answer. Instead of verifying queries across multiple models manually, Model Council allows you to run the same query across several models at once.
Here's how it works: When you select Model Council in the main Perplexity interface, your query runs across three of the models available on Perplexity at once, such as Claude Opus 4.6, GPT 5.2, and Gemini 3.0. A synthesizer model reviews the outputs, resolves conflicts where possible, and gives you one answer that shows where the models agree and where they differ.
Why does this matter? Every AI model has blind spots. It might overlook context, lean toward certain perspectives, or fill gaps with confident guesses. For research you're acting on, it's a big risk. When three frontier models independently reach the same conclusion, you can trust it more. When they disagree, you know to dig deeper.
This is especially powerful for investment research, complex decisions, and creative brainstorming. Currently available only for Perplexity Max subscribers on web, but this could be the future - AI systems that cross-validate themselves automatically.
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