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Qwen3-TTS-VD

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Overview

Qwen3-TTS-VD model is Tongyi's latest real-time speech synthesis model. It can perform high-fidelity real-time speech synthesis on the voices designed by the qwen3-voice-design service, and supports speech output in 11 languages ​​using the same voice. This model has been trained on massive amounts of data, and the synthesized audio can adaptively adjust its tone according to the text, demonstrating good processing capabilities for complex text synthesis. This model is a snapshot version from January 26, 2026.

Input

Text

Output

Audio

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

  • TTS
    $0.115Per 10,000 characters

Rate Limits

  • RPMRequests Per Minute
    180

API Reference

Call API
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curl -X POST https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen-voice-design",
    "input": {
        "action": "create",
        "target_model": "qwen3-tts-vd-2026-01-26",
        "voice_prompt": "A composed middle-aged male announcer with a deep and rich voice, possessing a strong magnetic quality. His speech rate is steady and his pronunciation is clear. This kind of voice is suitable for news broadcasts or documentary commentaries.",
        "preview_text": "Dear listeners, hello everyone. Welcome to the evening news.",
        "preferred_name": "announcer",
        "language": "en"
    },
    "parameters": {
        "sample_rate": 24000,
        "response_format": "wav"
    }
}'