Alibaba (Qwen) / qwen-omni-turbo

Qwen Omni Turbo

Qwen Omni Turbo converts text to speech for support voice, narration, podcasts, and multilingual dubbing.

Chat & customer supportImage understandingText to speech

Context

128K

tokens

Input

$0.084

/ 1M tokens

Output

$5.33

/ 1M tokens

Quality

#111

Elo 1076

Overview

What this model is good for

Qwen Omni Turbo converts text to speech for support voice, narration, podcasts, and multilingual dubbing.

Model capabilities

Multimodal

Supports mixed text-image input and can use 128K tokens of context for longer material.

Tool calling

Can call tools or functions, so product flows can connect model output to backend actions.

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$0.084/ 1M tokens

Output$5.33/ 1M tokens

Light production run

100K input + 25K output

$0.142

Higher-volume run

1M input + 250K output

$1.42

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

qwen-omni-turbo

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": "qwen-omni-turbo",
    "input": "Hello, welcome to SeaLink.",
    "voice": "alloy"
  }' --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="qwen-omni-turbo",
    input="Hello, welcome to SeaLink.",
    voice="alloy",
)
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: "qwen-omni-turbo",
  input: "Hello, welcome to SeaLink.",
  voice: "alloy",
});
const buffer = Buffer.from(await resp.arrayBuffer());
fs.writeFileSync("speech.mp3", buffer);