Alibaba

Qwen Audio 3.1 TTS+Open

Alibaba’s open-weight TTS — natural prosody, zero-shot voice cloning and 30+ languages.

#18released Oct 2, 2026·Open Weights·8B
textaudio32K ctx
Intelligence
89.4 #18
AAQI 89.0
Output Speed
140 t/s
ITL 7.1 ms/tok
Blended price (3:1)
$0.013 /1M
In $0.01/M · Out $0.02/M
Context
32K
≈ 80 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Qwen Audio 3.1 TTS+
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (30)Agentic & Tool Use (50)Knowledge (MMLU) (45)Vision / Multimodal (86)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Best open-weight TTS — rivals commercial tiers
  • Voice cloning without per-voice training
  • Runs on a single 8GB GPU at Q4
  • Cheap hosted API fallback via DashScope

Trade-offs to watch

  • Slightly robotic on long emotional passages
  • Cloning quality depends on reference audio
  • English/Chinese strongest — tail languages vary

Killer Use Cases

Self-hosted voice products
Own TTS for apps needing data control.
Voice cloning pipelines
Zero-shot cloning for personalized agents.
Multilingual IVR
Single checkpoint across 30+ locales.

Developer Quickstart & API

Set DASHSCOPE_API_KEY first — get an API key
curl https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "qwen-audio-tts-plus",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
Qwen Audio 3.1 TTS+ — 8B open speech synthesis
  • Open weights — self-host the full TTS stack
  • Zero-shot voice cloning from ~10s of reference audio
  • 30+ languages with code-switch support
  • Prosody and style controls via natural-language prompts
Release date
Oct 2, 2026
Architecture
Qwen Audio 3.1 TTS+ — 8B open speech synthesis
Parameters
8B
License
Open Weights
Context Window
32,000 tokens
Max Output
8,192 tokens
Modalities
text + audio
Cache Pricing
read $0.004 · write $0.0125 /1M
Reasoning
—
Input Price
$0.01/M
Output Price
$0.02/M
Output Speed
140 t/s
Time to First Token
—
Data Updated
Oct 22, 2026
Hardware & Local Inference
Data: Convly AI (CC BY 4.0) ↗
VRAM (4-bit Q4)
5 GB
Min GPU
RTX 3060 8GB / any 8GB GPU

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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BibTeX
@misc{llmpodium2026qwenaudio31ttsplus,
  title = {Benchmark Analysis and Intelligence Evaluation of Qwen Audio 3.1 TTS+},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/qwen-audio-3-1-tts-plus}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Qwen Audio 3.1 TTS+ LLMPodium Score
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