whatmodel.sh / tts / Qwen-Audio-3.0-TTS-Plus

Qwen-Audio-3.0-TTS-Plus is a closed-weights text-to-speech model from Alibaba, released September 2026. Licence: proprietary.

68.9±2.0#3 of 118 text-to-speech modelsfrom 8 benchmark results across 1 source

Score within the Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot comparison set only.

$ how it compares

The text-to-speech models ranked either side of Qwen-Audio-3.0-TTS-Plus, out of 148 with a score.

#modelscorewhereRAMreleased
5OpenAudio S1 Fish Audio71±8api $15.00/M chars2025-06
6Gemini 2.5 Pro Preview TTS Google69±3comparison only2025-05
7Qwen-Audio-3.0-TTS-Plus Alibaba69±2api $20.00/M chars2026-09
8Gemini 3.1 Flash TTS Preview Google69±2api $50.00/M chars2026-04
9dots.tts MF 2B (MeanFlow, NFE 4) dots.tts68±3local~5.2GB2026-06

see all text-to-speech models · find the ones that fit your machine

$ what it's good at

voice cloning▁·▁▁▁▁▁▁▇█▃▃ #1 of 37 * · 20% of its score · 4 tests

Beats OpenAudio S1 here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
Seed-TTS test-zh · speaker similarity (ERes2Net SV) lab84.7% ✎█·····██···█ beats 3/3medium · avg 58%▇▇▇▇ 10%typical
Seed-TTS test-en · speaker similarity (ERes2Net SV) lab81.5% ✎█····█··█··█ beats 3/3medium · avg 54%▇▇▇▇ 10%typical
Seed-TTS test-en · Whisper large-v3 WER lab1.5% ✎▁···▂▂▂▂█▆▄▂ beats 27/35avg 3.6%—not counted yet: no other model in the same run to compare it with
Seed-TTS test-zh · Paraformer CER lab0.8% ✎▁·▂▁▁▁▂▃▅█·▂ beats 28/30avg 2.1%—not counted yet: no other model in the same run to compare it with
other tests6 not in a task · 78% of its score
testresultvs the others in its rundifficultycountswhy
CV3-Eval hard-en · WER lab6.7% ✎█····█·█████ beats 4/6avg 26%▇▇▇▇▇▇▇▇ 20%sharp
CV3-Eval hard-en · DNSMOS (predicted quality) lab4.04 / 5 ✎█·▄·▄▄·▄···▄ beats 6/6medium · avg 2.98 / 5▇▇▇▇▇▇ 14%typical
CV3-Eval hard-zh · CER lab7.4% ✎▄▄▄···▄··▄·█ beats 5/6avg 23%▇▇▇▇▇▇ 14%typical
CV3-Eval multilingual voice clone · 9-language mean error lab4.7% ✎▄···▄··▄··██ beats 6/6avg 20%▇▇▇▇▇ 14%typical
CV3-Eval protocol, 7 added languages · mean WER (Qwen-Audio 3.0 extension) lab3.1% ✎█··█······██ beats 2/3avg 12%▇▇▇▇ 10%typical
CV3-Eval hard-en · speaker similarity (ERes2Net SV) lab76.6% ✎▄·····▄▄·▄▄█ beats 6/6medium · avg 49%▇▇▇ 6.6%typical

$ where to run it

Through an API

api · Alibaba Cloud Model Studio · $20.00/M chars · www.alibabacloud.com ↗ · price sourceUSD per 1M characters: Model Studio lists qwen-audio-3.0-tts-plus at $0.2 per 10,000 input characters, International (Singapore) deployment; output not billed (x100). Each Chinese character counts as 2 characters. Product: Alibaba Cloud Model Studio speech synthesis. API model: qwen-audio-3.0-tts-plus. Settings: International deployment. Price basis: published list rate. Exclusions: free quota; Mainland China deployment lists $0.19253 per 10,000. Currency: USD. Alibaba Cloud official pricing page, observed 2026-09-25.

$ how the score was worked out · Qwen-Audio-3.0-TTS technical… 98%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Qwen-Audio-3.0-TTS technical report · lab-reported8▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 98%CC BY 4.0
prior · pull toward the middle▇ 2%
weighted average= 68.9

not counted (2)

Qwen-Audio-3.0-TTS technical reportSeed-TTS test-zh · Paraformer CER [correct]0.8%fewer than three models have this test yet, or this source ran it for this model alone
Qwen-Audio-3.0-TTS technical reportSeed-TTS test-en · Whisper large-v3 WER [correct]1.5%fewer than three models have this test yet, or this source ran it for this model alone

$ improve this page

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json