Alibaba (Qwen) / qwen3-tts-flash

Qwen3 TTS Flash

Qwen3 TTS Flash converts text to speech for support voice, narration, podcasts, and multilingual dubbing.

Text to speech

Context

tokens

Input

$12.00

/ 1M tokens

Output

$12.00

/ 1M tokens

Quality

#76

Elo 1151

Overview

What this model is good for

Qwen3 TTS Flash converts text to speech for support voice, narration, podcasts, and multilingual dubbing.

Model capabilities

Audio output

Can produce audio output, commonly used for speech or voice experiences.

Streaming

Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.

Model maker

Model maker and access

This section shows the model maker, SeaLink model ID, protocol, and pricing information.

Alibaba (Qwen)

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

Audio API

Base URL: https://test.sealink.io/v1

Pricing

Pricing and cost sense

Prices come from the current model catalog. Simple estimates help users judge whether the model fits production volume.

Input$12.00/ 1M tokens

Output$12.00/ 1M tokens

Light production run

100K input + 25K output

$1.50

Higher-volume run

1M input + 250K output

$15.00

Actual billing follows usage logs and billing records; caching and media pricing depend on the endpoint.

API

Copy into your code

The model page should make it clear which model to copy, which base URL to use, and where to get an API Key.

model

qwen3-tts-flash

base_url

https://test.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://test.sealink.io/v1/audio/speech \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-tts-flash",
    "input": "Hello, welcome to SeaLink.",
    "voice": "Cherry"
  }' --output speech.mp3

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(base_url="https://test.sealink.io/v1", api_key="<your-sealink-key>")

resp = client.audio.speech.create(
    model="qwen3-tts-flash",
    input="Hello, welcome to SeaLink.",
    voice="Cherry",
)
resp.stream_to_file("speech.mp3")

Node.js (OpenAI SDK)

import OpenAI from "openai";
import fs from "fs";

const client = new OpenAI({
  baseURL: "https://test.sealink.io/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const resp = await client.audio.speech.create({
  model: "qwen3-tts-flash",
  input: "Hello, welcome to SeaLink.",
  voice: "Cherry",
});
const buffer = Buffer.from(await resp.arrayBuffer());
fs.writeFileSync("speech.mp3", buffer);