Qwen3-TTS-Flash

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Text-to-Speech

Overview

Text-to-Speech

The Qwen3-TTS-Flash is Tongyi's latest offline text-to-speech foundation model, featuring 17 expressive voices while enabling low-latency, high-stability audio synthesis. It supports multilingual and dialect outputs with consistent voice characteristics across languages. Trained on massive datasets, the system automatically adjusts vocal tones based on text semantics and demonstrates robust capabilities for synthesizing complex content.

Input

Text

Output

Audio

Features

Prefix Completion

Function Calling

Cache

Structured Outputs

Batches

Web Search

Pricing

TTS
$0.1Per 10,000 characters

Rate Limits

RPMRequests Per Minute
180

API Reference

Get API Key

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# The DashScope SDK must be version 1.23.1 or later
import os
import dashscope

text = "Let me recommend a T-shirt to you. This one is really super good-looking. The color is very elegant, and it is also a great item for matching. You can buy it without hesitation. It is really very good-looking and very forgiving for all body types. No matter what your body shape is, you will look great in it. I recommend you to place an order."
response = dashscope.audio.qwen_tts.SpeechSynthesizer.call(
    # Only qwen-tts models are supported. Do not use other models
    model="qwen3-tts-flash",
    # If the environment variable is not set, replace it with your Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    text=text,
    voice="Cherry",
)
print(response)

# The DashScope SDK must be version 1.23.1 or later
import os
import dashscope

text = "Let me recommend a T-shirt to you. This one is really super good-looking. The color is very elegant, and it is also a great item for matching. You can buy it without hesitation. It is really very good-looking and very forgiving for all body types. No matter what your body shape is, you will look great in it. I recommend you to place an order."
response = dashscope.audio.qwen_tts.SpeechSynthesizer.call(
    # Only qwen-tts models are supported. Do not use other models
    model="qwen3-tts-flash",
    # If the environment variable is not set, replace it with your Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    text=text,
    voice="Cherry",
)
print(response)