> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gpuhub.com/llms.txt
> Use this file to discover all available pages before exploring further.

# gemini-3.1-pro-preview

> Use gemini-3.1-pro-preview through AI Gateway with the Google GenAI SDK.

`gemini-3.1-pro-preview` is available through the Gemini-compatible AI Gateway endpoint. It is suitable for advanced reasoning, analysis, and multimodal-ready application workflows when supported by the selected model configuration.

<Note>
  Create or copy your API key from the console before calling the API. Use the model unit price displayed in the console as the source of truth.
</Note>

## Endpoint

| Compatibility     | Base URL                                             |
| ----------------- | ---------------------------------------------------- |
| Gemini-compatible | `https://www.autodl.art/api/v1/gemini/v1beta/models` |

Some tools may require the versioned base URL:

```text theme={null}
https://www.autodl.art/api/v1/gemini/v1beta/models
```

## Python

```python theme={null}
# Install the SDK first if needed:
# pip install google-genai

from google import genai

client = genai.Client(
    api_key="YOUR_API_KEY",
    http_options={"base_url": "https://www.autodl.art/api/v1/gemini/v1beta/models"},
)

response = client.models.generate_content(
    model="gemini-3.1-pro-preview",
    contents="Hello! Please summarize the key tradeoffs of long-context models.",
)

print(response.text)
```

## Use with Cherry Studio

To use this model in Cherry Studio, configure the matching provider type and add the model name shown on this page. See [Cherry Studio](/ai-gateway/ides-agents/cherry-studio) for setup details.