Cekura Bench
AI audioThe Speech-to-Speech benchmark page of Cekura Bench compares and evaluates the performance of multiple speech-to-speech models in real WebRTC real-time audio calls for real-time voice agent scenarios, covering metrics such as reliability (success rate), data accuracy, silence/no-response rate, response time, and cost per minute. The evaluation includes two types of call scenarios, Booking and Medicare, and publishes each model's pass rate by scenario. Models generally perform well in Booking calls, while in the more demanding Medicare calls, only a few models pass more than half. The page emphasizes that no model is superior across all dimensions, and users need to choose based on the metrics they care about most. The data was last updated on October 7, 2026.