# MiniMax models on GPTProto

> One GPTProto API key covers every model listed below. Text models share an OpenAI-compatible API — swap the `model` id. Image / video / audio models use a submit-and-poll API; follow each model's own llms.txt.

## Overview

- **Models**: 15
- **Vendor**: MiniMax
- **Base URL**: `https://gptproto.com/v1`
- **Provider page**: https://gptproto.com/model/minimax

## 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`. Use `base_url` `https://gptproto.com/v1` with any OpenAI-compatible SDK.

## Text models

Call these with the OpenAI-compatible Chat Completions (or Responses / Messages / Gemini) endpoints. Change only the `model` field.

| Model ID | Name | Context | Input / 1M | Output / 1M | Guide |
| --- | --- | --- | --- | --- | --- |
| `MiniMax-M3` | Minimax M3 | 1.05M | $0.48 | $0.96 | [llms.txt](https://gptproto.com/model/minimax/minimax-m3/llms.txt) |
| `MiniMax-M2.5` | Minimax M2.5 | 205K | $0.24 | $0.96 | [llms.txt](https://gptproto.com/model/minimax/minimax-m2.5/llms.txt) |

## Usage example

The snippets below call `MiniMax-M3`. For any other text model in the table, keep the same request and change `"model"`.

```bash
curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "MiniMax-M3",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
```

```python
import os
import requests

url = "https://gptproto.com/v1/chat/completions"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "model": "MiniMax-M3",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}

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

```typescript
const response = await fetch("https://gptproto.com/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "MiniMax-M3",
    messages: [
      {
        role: "user",
        content: "Hello",
      },
    ],
  }),
});

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

## Image, video, and audio models

These models use a submit-and-poll API (not OpenAI Chat Completions). Read the per-model guide for the exact endpoint, parameters, and example request.

| Model ID | Name | Type | Price | Guide |
| --- | --- | --- | --- | --- |
| `speech-2.6-hd` | Speech 2.6 Hd | audio | see model page | [llms.txt](https://gptproto.com/model/minimax/speech-2.6-hd/llms.txt) |
| `hailuo-2.3-fast` | Hailuo 2.3 Fast | video | $0.171 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-2.3-fast/llms.txt) |
| `hailuo-2.3-pro` | Hailuo 2.3 Pro | video | $0.441 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-2.3-pro/llms.txt) |
| `hailuo-2.3-standard` | Hailuo 2.3 Standard | video | $0.252 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-2.3-standard/llms.txt) |
| `hailuo-02-standard` | Hailuo 02 Standard | video | $0.252 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-02-standard/llms.txt) |
| `hailuo-02-pro` | Hailuo 02 Pro | video | $0.441 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-02-pro/llms.txt) |
| `hailuo-02-fast` | Hailuo 02 Fast | video | $0.09 / run | [llms.txt](https://gptproto.com/model/minimax/hailuo-02-fast/llms.txt) |
| `speech-2.5-turbo-preview` | Speech 2.5 Turbo Preview | audio | see model page | [llms.txt](https://gptproto.com/model/minimax/speech-2.5-turbo-preview/llms.txt) |
| `speech-2.5-turbo-preview-voice-clone` | Speech 2.5 Turbo Preview Voice Clone | audio | $0.5003 / run | [llms.txt](https://gptproto.com/model/minimax/speech-2.5-turbo-preview-voice-clone/llms.txt) |
| `speech-02-turbo` | Speech 02 Turbo | audio | $0.002 / run | [llms.txt](https://gptproto.com/model/minimax/speech-02-turbo/llms.txt) |
| `speech-02-hd` | Speech 02 Hd | audio | $0.0082 / run | [llms.txt](https://gptproto.com/model/minimax/speech-02-hd/llms.txt) |
| `speech-2.5-hd-preview-voice-clone` | Speech 2.5 Hd Preview Voice Clone | audio | $0.5003 / run | [llms.txt](https://gptproto.com/model/minimax/speech-2.5-hd-preview-voice-clone/llms.txt) |
| `speech-2.5-hd-preview` | Speech 2.5 Hd Preview | audio | see model page | [llms.txt](https://gptproto.com/model/minimax/speech-2.5-hd-preview/llms.txt) |

## Additional resources

- [Provider page](https://gptproto.com/model/minimax)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Per-model guide: `https://gptproto.com/model/{vendor}/{model}/llms.txt`