Cekura tests 26 speech models and finds speed does not buy naturalness

Tarush Agarwal's benchmark puts Inworld TTS-2 Flash first for full-sentence latency, while Fish Audio Drama 3 leads an automated naturalness estimate.

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Why it matters

Voice-agent builders face tradeoffs among response time, pronunciation and interruption handling. Cekura's benchmark makes those choices easier to inspect, while its role as both evaluator and vendor gives buyers reason to examine the methodology alongside the leaderboard.

Tarush Agarwal (@tarush_agarwal_): Today we are launching @cekuraAi's Text-to-Speech Bench. We tested 26 TTS models across 30,564 requests to compare their speed, reading accu (2-post thread) — Today we are launching @cekuraAi's…

Cekura published a public benchmark of 26 text-to-speech models on October 19th, comparing latency, reading accuracy, naturalness and interruption behavior for voice agents. The test's fastest model began speaking after a median 46 milliseconds; the model with the highest estimated naturalness ranked well behind it on speed, according to the results shared by co-founder and CEO Tarush Agarwal (@tarush_agarwal_).…

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