Life & fun · September 14, 2026
Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
Nari ranks first in STT latency, second in STT WER, second in TTS latency, and first in TTS WER in Coval’s September 14, 2026 benchmarks.
Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost launched on September 14, 2026 with 91 votes, #330 of 8,094 launches that month and more than 95% of that year's launches.
In plain words
Nari provides Text-to-Speech and Speech-to-Text AI models designed for voice applications. According to Coval's benchmarks, Nari ranks highly for both speed and accuracy across these tasks, with top performance in speech recognition latency and text-to-speech word error rate. The models are positioned for developers building voice AI agents who need low latency and high quality output.
written from the facts on this page · September 2026
From the sources
Nari Labs leads Coval’s voice AI benchmark by sitting on the quality-latency Pareto Frontier for both Text-to-Speech and Speech-to-Text. We also lead the latency-cost and quality-cost Pareto Frontier out of all publicly available models on the benchmark. Coval is a leading provider of voice AI evaluation and benchmarks. They help speech AI agents perform better in production and publish one of the most widely cited benchmarks in the industry. The Text-to-Speech (TTS) benchmark evaluates latency from text input to first audible chunk of audio (time-to-first-audio or TTFA) and Word Error Rate (WER). The Speech-to-Text (STT) benchmark evaluates latency from user’s finalize request to the final…from narilabs.com
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