Qwen3 TTS Flash | Realistic Voice & TTS API

Qwen3 TTS Flash — Fast Text-to-Speech

Qwen3 TTS Flash is low-latency, natural-sounding Text-to-Speech model that supports English and Chinese with multiple voice styles. It is designed for real-time conversations, product narration, and short-form video dubbing.

Highlights

Low latency / high concurrency for real-time interaction
Multi-language / multi-style voices (English/Chinese priority)
Parameter control: speed, pitch, volume, speaker (voice_id), emotion
Production-ready: stable output, easy integration, common audio formats

Input & Parameters

text (string, required): The text to synthesize (recommended < 2000 characters per request)
voice_id (string, optional): Voice style ID (e.g., qwen-female-1, qwen-male-1; see platform docs for the full list)
language (string, optional): Language code (en, zh)
speed (number, optional): Speaking rate, default 1.0 (range 0.5–2.0)
pitch (number, optional): Pitch adjustment, default 0
volume (number, optional): Output gain, default 0
emotion (string, optional): Voice emotion/style, e.g., neutral, happy, sad
sample_rate (int, optional): Sample rate, default 22050 (e.g., 16000/22050/24000/44100)
format (string, optional): Output format, default mp3 (supports mp3, wav, ogg)

Note: The available speakers and parameter ranges depend on the platform configuration.

Pricing

Formula: total_price = base_price * text_length / 1000
Current base_price: 1000 (unit depends on platform configuration)

Example

{ "model": "/qwen3-tts-flash", "input": { "text": "Hello, welcome to WaveSpeedAI!", "voice_id": "qwen-female-1", "language": "en", "speed": 1.0, "format": "mp3" } }

Use Cases

Real-time conversational agents / voice replies
Short-form video, advertising, and e-commerce dubbing
App/IoT voice prompts and announcements
Education, customer service, and knowledge base narration

Qwen3 Tts Flash API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/qwen-image/translate with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Qwen3 Tts Flash below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/qwen-image/translate" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "voice": "Cherry",
    "language_type": "Auto"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("alibaba/qwen3-tts-flash", {
        "voice": "Cherry",
        "language_type": "Auto"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "alibaba/qwen3-tts-flash",
    {
    "voice": "Cherry",
    "language_type": "Auto"
}
)

print(output["outputs"][0])  # → URL of the generated output

Qwen3 Tts Flash API — Frequently asked questions

What is the Qwen3 Tts Flash API?

Qwen3 Tts Flash is a Alibaba model for audio generation, exposed as a REST API on WaveSpeedAI. Qwen3 TTS Flash: Low-latency Text-to-Speech for English and Chinese with multiple voices, ideal for real-time dialogue. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Qwen3 Tts Flash API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-qwen3-tts-flash.

How much does Qwen3 Tts Flash cost per run?

Qwen3 Tts Flash starts at $0.020 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Qwen3 Tts Flash accept?

Key inputs: `language_type`, `text`, `voice`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-qwen3-tts-flash.

How long does Qwen3 Tts Flash take to generate?

Average end-to-end generation time on WaveSpeedAI is around 14 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Qwen3 Tts Flash outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Alibaba). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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