Perplexity AI Models

In-house search-grounded model based on Llama 3.3 70B, optimized for speed and cost-efficiency with real-time web research capabilities. Ideal for straightforward factual queries requiring fast, cited responses with lightweight question-and-answer integration.

Enhanced search model achieving best-in-class factuality with F-score of 0.858 on SimpleQA benchmark. Designed for complex multi-step tasks with double the citations of base Sonar, providing deeper understanding and context retention.

Chain-of-thought reasoning model with embedded live search capabilities, specialized for logical reasoning and step-by-step inference. Excels in mathematical, coding, and analytical challenges requiring sustained reasoning over multiple steps.

Advanced reasoning model powered by DeepSeek-R1 1776 integration, delivering superior step-by-step inference and comparison capabilities. Optimized for research synthesis, evaluation tasks, and complex analytical workflows requiring deep reasoning.

Specialized autonomous research model conducting dozens of searches and processing hundreds of sources to generate comprehensive reports. Features iterative research planning with reasoning capabilities, ideal for expert-level analysis across finance, marketing, and technology domains.