Speech 2.5 Turbo Preview

This documentation is valid for the following model: minimax/speech-2.5-turbo-preview

Model Overview

A high-definition text-to-speech model with enhanced multilingual expressiveness, more precise voice replication, and expanded support for 40 languages.

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

API Schema

post

Authorizations

access-token

Body

application/json

modelundefined · enumRequiredPossible values:

textstring · min: 1 · max: 5000Required

The text content to be converted to speech.

streambooleanOptional

Enable streaming mode for real-time audio generation. When enabled, audio is generated and delivered in chunks as it's processed.

Default: false

language_booststring · enumOptional

Language recognition enhancement option.

Possible values:

subtitle_enablebooleanOptional

Enable subtitle generation service. Only available for non-streaming requests. Generates timing information for the synthesized speech.

Default: false

output_formatstring · enumOptional

Format of the output content for non-streaming requests. Controls how the generated audio data is encoded in the response.

Default: hexPossible values:

Responses

201Success

application/json

201Success

{
  "metadata": {
    "transaction_key": "text",
    "request_id": "text",
    "sha256": "text",
    "created": "2025-09-12T01:27:39.843Z",
    "duration": 1,
    "channels": 1,
    "models": [
      "text"
    ],
    "model_info": {
      "ANY_ADDITIONAL_PROPERTY": {
        "name": "text",
        "version": "text",
        "arch": "text"
      }
    }
  }
}

Code Example

Python

import os
import requests


def main():
    url = "https://api.aimlapi.com/v1/tts"
    headers = {
        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
    }
    payload = {
        "model": "minimax/speech-2.5-turbo-preview",
        "text": "Hi! What are you doing today?",
        "voice_setting": {
          "voice_id": "Wise_Woman"
        }
    }

    response = requests.post(url, headers=headers, json=payload, stream=True)
    dist = os.path.abspath("your_file_name.wav")

    with open(dist, "wb") as write_stream:
        for chunk in response.iter_content(chunk_size=8192):
            if chunk:
                write_stream.write(chunk)

    print("Audio saved to:", dist)


main()

JavaScript

import fs from "fs";
import path from "path";

async function main() {
  const url = "https://api.aimlapi.com/v1/tts";
  const payload = {
    model: "minimax/speech-2.5-turbo-preview",
    text: "Hi! What are you doing today?",
    voice_setting: {
      voice_id: "Wise_Woman"
    }
  };

  const response = await fetch(url, {
    method: "POST",
    headers: {
      // Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
      "Authorization": `Bearer <YOUR_AIMLAPI_KEY>`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify(payload)
  });

  // Read response as ArrayBuffer and convert to Buffer
  const arrayBuffer = await response.arrayBuffer();
  const buffer = Buffer.from(arrayBuffer);

  // Save audio to file in the current working directory
  const dist = path.join(process.cwd(), "your_file_name.wav");
  fs.writeFileSync(dist, buffer);

  console.log("Audio saved to:", dist);
}

main();

Response

Audio saved to: c:\Users\user\Documents\Python Scripts\TTSes\your_file_name.wav