Nari unveils Qwen3‑TTS and Qwen3‑ASR with low latency and competitive pricing
Nari announced two new speech models, Qwen3‑TTS for text‑to‑speech and Qwen3‑ASR for automatic speech recognition. Both run on optimized API endpoints that promise enterprise‑grade latency and cost efficiency.
Key points
- Qwen3‑TTS and Qwen3‑ASR launched with API endpoints optimized for low latency and cost.
- Benchmarks show the TTS beats ElevenLabs and the ASR beats Deepgram in speed and price.
- Nari offers free beta, early‑access pricing, and enterprise deployment options including dedicated infrastructure.
Independent measurements cited in the post show the TTS endpoint beating ElevenLabs on latency and price per million characters, while the ASR endpoint outperforms Deepgram on speed and hourly cost. The services are in a free public beta with early‑access pricing, and Nari says the stack uses custom kernels, batching, quantization and routing to hit the “Pareto frontier” on benchmark suites.
Nari also promotes dedicated or private deployment options and fine‑tuning capabilities, positioning the models for large‑scale production use. The announcement references the team behind Dia and Narvatar, suggesting a broader ecosystem for multimodal AI workloads.
The story so far
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Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost
narilabs.com · 8 September 2026
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Coverage and discussion
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