// AI TOOLS · NARI QWEN3-TTS & QWEN3-ASR

Nari Qwen3-TTS & Qwen3-ASR

Nari Labs' low-latency, low-cost voice models — Qwen3-TTS 1.7B for text-to-speech and Qwen3-ASR 1.7B for transcription — that topped Coval's public voice-AI benchmark in September 2026.

Last verified · 2026-10-23 · by Moe Ameen

Published 2026-09-14 · Updated

Short answer

Nari Qwen3-TTS and Qwen3-ASR are Nari Labs' hosted voice models: fast servings of Alibaba's Qwen3 speech models for text-to-speech and transcription. On Coval's benchmark as of September 14, 2026, Qwen3-ASR Fast ranked first in latency at 44 ms, and Qwen3-TTS Fast led on accuracy at 3.8% word error rate. Text-to-speech costs $10 or $5 per 1M characters; transcription costs $0.12 or $0.06 per hour.

Key takeaways

  • Nari serves Qwen3-TTS 1.7B for speech and Qwen3-ASR 1.7B for transcripts, each in Fast and Standard tiers.
  • On Coval, Qwen3-ASR Fast hit 44 ms median latency and Qwen3-TTS Fast 3.8% word error rate.
  • Coval measured Qwen's own TTS Flash realtime endpoint at 8.8% WER and 692 ms.
  • Nari's Qwen3-TTS serving engine is open source under Apache-2.0.
  • Both models output audio or text only; they do not write posts or publish.

What are Nari Qwen3-TTS and Qwen3-ASR?

Nari Qwen3-TTS and Qwen3-ASR are two hosted voice models from Nari Labs, the team behind Dia — an open-source dialogue text-to-speech model released under Apache 2.0 that Nari says has been downloaded over two million times. Each is an optimized serving of one of Alibaba's Qwen3 speech models on Nari's own low-latency inference stack. Qwen3-TTS 1.7B converts text into natural, streaming speech; Qwen3-ASR 1.7B transcribes spoken audio into text. Both run on a "Fast" tier and a cheaper "Standard" tier.

On September 14, 2026, Nari announced that both models topped Coval's public voice-AI benchmark — a reproducible, open-source benchmark of TTS and STT providers published at benchmarks.coval.ai. Qwen3-ASR Fast placed first in latency (about 44 ms median time-to-final-segment) and second in accuracy (about 3.6% word error rate); Qwen3-TTS Fast placed second in latency (about 63 ms time-to-first-audio) and first in accuracy (about 3.8% WER). For reference, the benchmark measured the official Qwen3 TTS Flash realtime endpoint at 8.8% WER and 692 ms time-to-first-audio, so Nari's serving is markedly more accurate and far faster to first sound.

The engineering behind that is public: in August 2026 Nari open-sourced, under Apache 2.0, its Qwen3-TTS 1.7B inference engine, which reached sub-50 ms p95 time-to-first-audio at 10 requests per second on a single NVIDIA H100. The hosted API is priced aggressively: TTS at $10 per 1M characters (Fast) and $5 (Standard), ASR at $0.12 per hour (Fast) and $0.06 (Standard) — well under premium voice APIs. It exposes streaming and non-streaming generation over HTTP plus WebSocket input streaming for incremental text.

Qwen3-TTS and Qwen3-ASR are excellent, cheap audio and speech models, not a content tool. They turn text into a voice track or a recording into a transcript, and they do it fast and inexpensively — but they write no copy, make no video or images, caption nothing, and publish nowhere. Voices, language coverage, and any cloning inherit from the Qwen3 speech base, so confirm those specifics on Nari's docs. Treat exact latency, WER, and pricing figures as a benchmark-day snapshot.

What can you make with Nari Qwen3-TTS and Qwen3-ASR?

  • Cheap, natural voiceover from text via Qwen3-TTS — narration for faceless video, explainers, and audio versions of articles
  • Low-latency streaming speech for real-time voice agents and live assistants (sub-70 ms to first sound)
  • Clean transcripts of podcasts, webinars, calls, and voice memos via Qwen3-ASR at ~$0.06–$0.12 per hour
  • Bulk transcription of a back catalog of recordings into searchable, repurposable text
  • Self-hosted, near-marginal-cost TTS at scale using the Apache-2.0 Qwen3-TTS inference engine on your own H100
  • Multilingual speech and transcription drawing on the Qwen3 speech base (confirm current language coverage on Nari's docs)

How do Nari's voice models and Kompozy fit together?

Think of Nari as two cheap taps on the same audio layer — one that turns text into a voice track, one that turns a recording into text — and think of Kompozy as the engine that turns whatever comes out of either tap into finished, on-brand, published content. That division is clean because the tools never overlap: Nari does the audio round-trip fast and for almost nothing; Kompozy does the generation and the distribution Nari can't touch. It is a full AI content generation and multi-platform publishing engine, not a voice API.

The most valuable pairing runs the ASR tap first. You already speak more content than you'll ever type — a podcast, a client call, a walk-and-talk voice note — and at $0.06–$0.12 an hour, transcribing all of it is basically free. Feed that Qwen3-ASR transcript into Kompozy's Quick Ingest and one recording fans out under a Persona Brief into Clipped Shorts, brand-exact Carousel Posts and Quote Graphics via HyperFrames, native Text Posts, a Blog Article, and an Email Newsletter — then publishes the set across the eight social platforms plus blog and email with Autopilot.

Run the TTS tap the other direction when you want a standalone narration track for a faceless Listicle Video or an audio version of a post — though note Kompozy's avatar formats like Persona Shorts already speak with HeyGen's native TTS, so you reach for Qwen3-TTS only when you specifically want a separate, dirt-cheap voice file. Nari owns the audio in and the audio out; Kompozy owns everything in between and after.

  1. Record once — a podcast, a livestream, a voice memo — and run it through Qwen3-ASR to get a clean transcript for a few cents.
  2. Drop the transcript into Kompozy's Quick Ingest as a source; the Persona Brief fixes your voice and angle across everything that follows.
  3. Generate the full set from that one source: Clipped Shorts, Carousel Posts, Quote Graphics, Text Posts, a Blog Article, and a Newsletter.
  4. When you want a standalone narration track, generate the script in Kompozy and voice it with low-cost Qwen3-TTS for a faceless or audio-version output.
  5. Review each piece behind the per-post gate, then schedule and publish across the eight social platforms plus blog and email with Autopilot.

What does this look like in Kompozy?

A real AI avatar video made in the Kompozy workspace. It shows a format that pairs a voice track with a presenter; it does not use Nari audio.

Real output · Kompozy AI avatar video format · from the Kompozy workspace

Who is this for, and who should skip it?

Best for:

  • Transcribing a large back catalog of podcasts or calls at $0.06 to $0.12 an hour
  • Real-time voice agents that need low time-to-first-audio
  • Developers who want to self-host an open-source TTS serving engine

Not ideal for:

  • Anyone who needs voice cloning, music or a full audio editing suite, where ElevenLabs covers more
  • Creators who want finished posts rather than raw audio and text

Frequently asked questions

What are Nari Qwen3-TTS and Qwen3-ASR?

They are two hosted voice models from Nari Labs, the team behind the open-source Dia TTS model. Each is an optimized serving of one of Alibaba's Qwen3 speech models on Nari's low-latency stack: Qwen3-TTS 1.7B for text-to-speech and Qwen3-ASR 1.7B for transcription. Nari announced on September 14, 2026 that both topped Coval's public voice-AI benchmark.

How much do they cost?

Nari lists text-to-speech at $10 per 1M characters (Fast) and $5 per 1M (Standard), and speech-to-text at $0.12 per hour (Fast) and $0.06 per hour (Standard) — well below premium voice APIs. You can also self-host Nari's Apache-2.0 Qwen3-TTS engine on your own GPU. Confirm current pricing on Nari's site.

Are these better than Whisper or ElevenLabs?

On the September 2026 Coval benchmark, Nari led on TTS accuracy and STT latency and is far cheaper per unit than premium APIs. Whisper is the common open ASR baseline; ElevenLabs is a broader audio suite with cloning and licensed music. For the cheapest fast voice or transcription, Nari is compelling; for a full toolkit, the incumbents cover more. Benchmark on your own audio.

Can Nari Qwen3-TTS or Qwen3-ASR post content to social media?

No. They generate audio (TTS) or transcripts (ASR) only — they write no posts, make no video or images, caption nothing, and publish nowhere. To turn a cheap voiceover or a transcript into finished, on-brand posts across platforms you bring it into a content engine like Kompozy.

How do I use Nari's models with Kompozy?

The most useful path is to transcribe what you record with cheap Qwen3-ASR, then drop the transcript into Kompozy to fan one recording into clips, carousels, quote cards, text posts, a blog, and a newsletter, published across the eight social platforms plus blog and email. Use Qwen3-TTS when you want a standalone narration track; Kompozy's avatar formats already include native TTS.

How do we know this?

We checked every figure, date, price and quote on this page against the sources listed below on 2026-10-23, and removed or corrected anything we could not confirm. Benchmark figures come from Nari's write-up of Coval's 1-day view as of September 14, 2026. Kompozy plan and format details come from kompozy.io/pricing.

Sources

  1. Nari Labs — Nari Labs leads Coval's voice AI benchmarks (read 2026-10-23)
  2. Nari Labs — Pricing (read 2026-10-23)
  3. Nari Labs — Pushing the speed-cost frontier for Qwen3-TTS (read 2026-10-23)
  4. GitHub — nari-labs/nari-qwen3-tts (read 2026-10-23)
  5. Kompozy — Pricing (read 2026-10-23)

Related tools

  • Qwen Scribe — A free, open-source macOS app that runs Alibaba's Qwen3-ASR speech model entirely on Apple Silicon — private file transcription plus system-wide dictation, with no cloud, account, or API key.
  • Kokoro TTS — An open-weight, 82-million-parameter text-to-speech model that runs high-quality narration locally on a CPU — free, offline, and Apache-2.0 licensed for commercial use.
  • Whisper on Cloudflare Workers AI — OpenAI's open-source Whisper speech-to-text model, served on Cloudflare's edge with a free daily allowance and per-audio-minute pricing.
  • Transcribe.cpp — Open-source C/C++ library that runs 16+ speech-to-text model families locally on your own GPU via the ggml runtime — accurate, offline transcription with no per-minute API bill.
  • HeyGen — AI avatar video platform that turns a text script into a talking-head video — in 175+ languages.

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