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alibaba/

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.

text-to-audio
इनपुट

निष्क्रिय

$0.02प्रति रन·~50 / $1

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संबंधित मॉडल

README

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
नोट:यह वेबसाइट तृतीय पक्षों द्वारा प्रदान किए गए AI मॉडलों का उपयोग करती है। दस्तावेज़ की कीमतें केवल संदर्भ के लिए हैं और पुरानी हो सकती हैं। Generate बटन अनुमान दिखाता है; टास्क का अंतिम शुल्क ही मान्य होगा।

Qwen3 Tts Flash API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/qwen3-tts-flash with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Qwen3 Tts Flash below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "text": "A clear example input",
    "voice": "Cherry",
    "language_type": "Auto"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/qwen3-tts-flash" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/alibaba/qwen3-tts-flash";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "A clear example input",
        "voice": "Cherry",
        "language_type": "Auto"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "text": "A clear example input",
    "voice": "Cherry",
    "language_type": "Auto"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/alibaba/qwen3-tts-flash", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. 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?

Median end-to-end generation time on WaveSpeedAI is around 6 seconds per request, based on recent successful runs. Queue time varies 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.

Qwen3 TTS Flash | Realistic Voice & TTS API on WaveSpeedAI