# MiniMax Speech 2.5 Turbo Preview Voice Clone — Text To Audio

> Deploy text speech 2.5 for low-latency voice cloning. MiniMax's turbo model offers 48kHz high-fidelity audio with emotional prosody. Try it on GPTProto.com.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/minimax/speech-2.5-turbo-preview-voice-clone/text-to-audio`
- **Result URL**: `GET https://gptproto.com/api/v3/predictions/{result_id}/result` — the submit response also returns the authoritative URL in `data.urls.get`
- **Model ID**: `speech-2.5-turbo-preview-voice-clone`
- **Vendor**: MiniMax
- **Scene**: `text-to-audio`
- **Category**: text-to-audio
- **Modalities**: input text → output audio
- **Playground**: https://gptproto.com/model/minimax/speech-2.5-turbo-preview-voice-clone
- **API documentation**: https://docs.gptproto.com
- **Other scenes of this model**: `voice-clone` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key in the `Authorization` header. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY` (plus `Content-Type: application/json` on POST).

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- **Per run** — $0.5003 per run

Price range: $0.5003 – $0.5003 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/minimax/speech-2.5-turbo-preview-voice-clone

## API Information

The API is asynchronous: POST the endpoint to create a prediction, then poll its result URL until `status` is `completed` or `failed`.

### Input Schema

The endpoint accepts the following JSON body parameters:

- **`audio`** (`string`, _required_):
  The uploaded file is cloned and supports formats such as MP3, M4A, and WAV.

- **`custom_voice_id`** (`string`, _required_):
  Custom user-defined ID. Minimum 8 characters; must include letters and numbers and start with a letter. Duplicate voice-ids will throw an error.

- **`text`** (`string`, _optional_):
  Text for audio preview. Limited to 2000 characters.
  - Default: `Hello! Welcome to GPTProto! This is a preview of your cloned voice. I hope you enjoy it!`

- **`need_noise_reduction`** (`boolean`, _optional_):
  Enable noise reduction. Default is false (no noise reduction).
  - Options: true, false

- **`need_volume_normalization`** (`boolean`, _optional_):
  Specify whether to enable volume normalization. If not provided, the default value is false.
  - Options: true, false

- **`accuracy`** (`range`, _optional_):
  Uploading this parameter will set the text validation accuracy threshold, with a value range of [0,1]. If not provided, the default value for this parameter is 0.7.
  - Default: `0.7`
  - Range: 0–1

**Required Parameters Example**:

```json
{
  "audio": "",
  "custom_voice_id": ""
}
```

**Full Example**:

```json
{
  "audio": "",
  "custom_voice_id": "",
  "text": "Hello! Welcome to GPTProto! This is a preview of your cloned voice. I hope you enjoy it!",
  "need_noise_reduction": false,
  "need_volume_normalization": false,
  "accuracy": 0.7
}
```

### Output Schema

Both submit and poll return the same envelope:

- **`data.id`** (`string`): Prediction id. Use it as `result_id` when polling for the result.
- **`data.status`** (`string`): One of `created`, `running`, `completed`, `failed`. See Status Values below.
- **`data.outputs`** (`array of string`): Generated files. Empty until `status` is `completed`; then it holds the output URLs (or base64 strings when the model exposes a base64 option).
- **`data.urls.get`** (`string`): Authoritative result URL for this prediction. Prefer it over building the poll URL yourself.
- **`data.error`** (`string | null`): Failure reason when `status` is `failed`, otherwise `null`.
- **`data.executionTime`** (`integer`): Total processing time in milliseconds.
- **`data.timings.inference`** (`integer`): Model inference time in milliseconds.
- **`data.hasNsfwContents`** (`array of boolean`): Per-output moderation flags.
- **`message`** (`string`): `success` on a normal response, otherwise the error message.
- **`code`** (`integer`): Business status code. `200` means the request was accepted.

**Example Response — submit (task accepted)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "speech-2.5-turbo-preview-voice-clone",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2026-01-01T12:00:00Z",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}
```

**Example Response — poll (completed)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "speech-2.5-turbo-preview-voice-clone",
    "outputs": [
      "https://oss-us.gptproto.com/example/output.mp3"
    ],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "status": "completed",
    "error": null,
    "executionTime": 12345,
    "timings": {
      "inference": 12000
    },
    "has_nsfw_contents": [],
    "created_at": "2026-01-01T12:00:00Z"
  },
  "message": "success",
  "code": 200
}
```

### Status Values

- `created` — Task accepted. Use `data.id` as `result_id` for polling.
- `running` — Generation is in progress. Keep polling.
- `completed` — Finished successfully. Generated files are in `data.outputs`.
- `failed` — Generation failed. Read `data.error` for the reason.

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/minimax/speech-2.5-turbo-preview-voice-clone/text-to-audio" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "audio": "",
    "custom_voice_id": "",
    "text": "Hello! Welcome to GPTProto! This is a preview of your cloned voice. I hope you enjoy it!",
    "need_noise_reduction": false,
    "need_volume_normalization": false,
    "accuracy": 0.7
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/minimax/speech-2.5-turbo-preview-voice-clone/text-to-audio"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "audio": "",
  "custom_voice_id": "",
  "text": "Hello! Welcome to GPTProto! This is a preview of your cloned voice. I hope you enjoy it!",
  "need_noise_reduction": False,
  "need_volume_normalization": False,
  "accuracy": 0.7
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/minimax/speech-2.5-turbo-preview-voice-clone/text-to-audio", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    audio: "",
    custom_voice_id: "",
    text: "Hello! Welcome to GPTProto! This is a preview of your cloned voice. I hope you enjoy it!",
    need_noise_reduction: false,
    need_volume_normalization: false,
    accuracy: 0.7,
  }),
});

const data = await response.json();
console.log(data);
```

### 2. Poll until the task finishes

Replace `YOUR_RESULT_ID` with `data.id` from the submit response (or call `data.urls.get` directly), and keep polling every 1–3 seconds while `status` is `created` or `running`.

```bash
result_id="YOUR_RESULT_ID"

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

result_id = "YOUR_RESULT_ID"
url = f"https://gptproto.com/api/v3/predictions/{result_id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}
response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const result_id = "YOUR_RESULT_ID";
const response = await fetch(`https://gptproto.com/api/v3/predictions/${result_id}/result`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

const data = await response.json();
console.log(data);
```

## Example Prompts

- On a busy city corner stood an unassuming magician. His tricks were simple: he turned people's worries into colorful butterflies and made wilted flowers bloom again. People thought he was a fraud, until one day a sad child reached out to him. With a gentle wave, the magician turn…

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model playground](https://gptproto.com/model/minimax/speech-2.5-turbo-preview-voice-clone)
- [API documentation](https://docs.gptproto.com)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`