Qwen-Audio-3.1-TTS

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Overview

Qwen-Audio-3.1-TTS-Plus is a text-to-speech large model built for high-quality speech synthesis scenarios, supporting multiple minority languages and Chinese dialects. The model delivers authentic dialect pronunciation and features free-style instruction-following along with fine-grained tag-based control, enabling more precise manipulation of emotion, tone, persona, speaking rate, volume, and synthesis style. In voice cloning scenarios, the model exhibits enhanced robustness under complex acoustic conditions such as noise and reverberation, with further improvements in audio quality, clarity, resolution, and overall expressiveness. The Plus version places greater emphasis on synthesis fidelity and nuanced expression, making it ideal for professional use cases that demand higher audio quality, naturalness, and expressiveness — including content creation, audiobooks, film and television dubbing, brand voice design, and other premium speech services.

Input

TextAudio

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
$0.3Per 10,000 characters

Rate Limits

RPMRequests Per Minute
180

API Reference

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# coding=utf-8

import dashscope
from dashscope.audio.tts_v2 import *

# If the API Key is not configured in the environment variable, your-api-key needs to be replaced with your own API Key
# dashscope.api_key = "your-api-key"

dashscope.base_websocket_api_url='wss://ap-southeast-1.maas.qwencloudapi.com/api-ws/v1/inference'

model = "qwen-audio-3.1-tts-plus"

#Please enter the correct voice below.
voice = ""

synthesizer = SpeechSynthesizer(model=model, voice=voice)
audio = synthesizer.call("How is the weather today?")

with open('output.mp3', 'wb') as f:
    f.write(audio)