Gradium #1 on Coval TTS Benchmarks

Gradium leads Coval's Text-to-Speech (TTS) benchmarks as of May 13, 2026, excelling in both latency and quality metrics, including Word Error Rate (WER). Coval, an independent evaluation platform founded by Brooke Hopkins in 2024, provides standardized and transparent TTS benchmarking across providers, contrasting with vendor-reported metrics that often lack comparability. Gradium's success is attributed to its innovative audio language models (ALMs) that integrate multiple voice tasks within a single architecture, originally pioneered by its founders at Google and Meta. Coval's benchmarks focus on Time to First Audio (TTFA), latency range, and WER, with Gradium's models excelling in these areas due to their Delayed Streams Modeling approach, which balances quality and latency in real-time TTS. The open-source nature of Coval's methodology allows for tailored evaluations, providing voice agent teams with relevant performance insights specific to their operational contexts.

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