About Sonar

Perplexity Sonar is a cutting-edge AI search model designed to revolutionize how users interact with search results. Built on Meta's Llama 3.3 70B model, Sonar has been fine-tuned to enhance answer factuality and readability, providing users with quick, accurate, and reliable information. It achieves an impressive speed of 1,200 tokens per second, thanks to its integration with Cerebras Systems' Wafer Scale Engines, allowing for nearly instant response generation. Sonar significantly outperforms comparable models like GPT-4o mini and Claude 3.5 Haiku, while closely matching the performance of more advanced models like GPT-4o and Claude 3.5 Sonnet. Additionally, Perplexity offers the Sonar API, which allows developers to integrate these capabilities into their applications, with options for customization and real-time web-wide research