Sonar — это фирменная разработка Perplexity на базе Llama 3.3 70B, созданная специально для качественного поиска информации. Модель обеспечивает высочайшую фактическую точность и читаемость ответов, превращая взаимодействие с ИИ в максимально комфортный и полезный опыт.
Starting today, all Perplexity Pro users will be able to try out the latest version of Sonar, Perplexity's in-house model that is optimized for answer quality and user experience. Built on top of Llama 3.3 70B, Sonar has been further trained to enhance answer factuality and readability for Perplexity’s default search mode. Through comprehensive online A/B testing, we have found that Sonar significantly outperforms models in its class, like GPT-4o mini and Claude 3.5 Haiku, while closely matching or exceeding the performance of frontier models like GPT-4o and Claude 3.5 Sonnet for user satisfaction. Powered by Cerebras inference infrastructure, Sonar runs at a blazing fast speed of 1200 tokens per second — enabling nearly instant answer generation.