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Perplexity has announced enhancements to its Sonar and Sonar Pro models, introducing new search compute modes categorized as High, Medium, and Low. The company will shift its billing structure to an input/output token pricing model with flat search mode pricing, eliminating charges for citation tokens in both Sonar and Sonar Pro. Recent benchmarks indicate that these models outperform competitors, achieving a 91% accuracy score on SimpleQA while being up to 70% cheaper per typical request compared to offerings like OpenAI's GPT-4. This strategic upgrade positions Perplexity as a competitive alternative in the AI model market.
Perplexity’s latest Sonar model upgrades represent a strategic leap forward, clearly challenging OpenAI’s GPT-4 offerings. By significantly boosting performance and reducing costs—up to 70% cheaper per typical request—Sonar positions itself as an attractive alternative for https://t.co/9KPBbuP8aO
Perplexity's Sonar API is the best at accurate responses while remaining the most affordable. It scores 91% on SimpleQA while remaining cheaper than even GPT-4o-mini, let alone the expensive GPT-4o. So, bang for the buck - Perplexity is the best. https://t.co/XySfKxsKHR
Perplexity upgrades their Sonar and Sonar Pro models, outperform competitors and are way less expensive. https://t.co/FGld4aYjgZ https://t.co/CdbgXtdpfR
