Baseten leads Coval’s voice AI benchmark

This post details how Baseten's optimized inference stack, encompassing STT and TTS latency, orchestration, networking, autoscaling, and deployment placement, leads to superior voice AI performance. Specifically, Baseten's STT deployment is shown to be approximately 5x faster than OpenAI's while achieving the lowest Word Error Rate (WER) in Coval's benchmark. The post emphasizes that production voice AI quality is defined by the full inference infrastructure, not just model choice, and highlights the importance of minimizing latency across the entire pipeline (STT, LLM, TTS, VAD, telephony, orchestration, networking, autoscaling). Baseten's ability to tune inference for production voice AI, including reliability and performance consistency through dedicated hardware and optimized deployment architecture, is presented as a key advantage.