# Model Testing

{% hint style="info" %}
This module is used to test the accuracy of model configuration. After selecting a model, if it can output successfully here, then the configuration is normal.
{% endhint %}

<figure><img src="https://content.gitbook.com/content/Fp49500tb1OoKJhGorBN/blobs/N82ahzXXWRlAvp40zJiZ/image.png" alt=""><figcaption></figcaption></figure>

Supports selecting multiple models simultaneously (up to three) to compare model response effects, making it convenient to test which model performs better in different task scenarios:

<figure><img src="https://content.gitbook.com/content/Fp49500tb1OoKJhGorBN/blobs/cSq4XpYd8xSWeFfBTlzn/image.png" alt=""><figcaption></figcaption></figure>

Supports testing vision models:

<figure><img src="https://content.gitbook.com/content/Fp49500tb1OoKJhGorBN/blobs/Lg52dg8Llprv8XrWI7PH/image.png" alt=""><figcaption></figcaption></figure>