# Hunyuan 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**: 1
- **Vendor**: Hunyuan
- **Base URL**: `https://gptproto.com/v1`
- **Provider page**: https://gptproto.com/model/hunyuan

## 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 |
| --- | --- | --- | --- | --- | --- |
| `hy4-preview` | Hy4 Preview | 1.05M | $0.7923 | $2.38 | [llms.txt](https://gptproto.com/model/hunyuan/hy4-preview/llms.txt) |

## Usage example

The snippets below call `hy4-preview`. 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": "hy4-preview",
        "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": "hy4-preview",
    "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: "hy4-preview",
        messages: [
            {
                role: "user",
                content: "Hello",
            },
        ],
    }),
});

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

## Additional resources

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