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Perplexity's Sonar—built on Llama 3.3 70b—outperforms GPT-4o-mini and Claude 3.5 Haiku while matching or surpassing top models like GPT-4o and Claude 3.5 Sonnet in user satisfaction. At 1200 tokens/second, Sonar is optimized for answer quality and speed. Sonar excels at providing near-instant accurate answer generation. Perplexity Pro users can make Sonar their default model in their settings with it becoming available for voice and assistant soon. Read more: https://www.perplexity.ai/hub/blog/meet-new-sonar