# Model Hub

The Model Hub is a space for comparing and testing AI models such as GPT-4, Claude, Llama and many others.

Unlike their implementations on parent platforms, where additional tools like internet access or enhanced reasoning capabilities might be available, the Model Hub has these AI models without any extra features.

In other words, the primary goal of the Model Hub is to showcase the base knowledge of AI models - what the models learned during their training.&#x20;

This is for those who want to explore and evaluate AI models at their most fundamental level, providing a clear view of their knowledge and reasoning capabilities.

<figure><img src="https://3620906879-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Ft1TLw2CAY3Yjr54moPYE%2Fuploads%2FzcVb1WsQ0Cw6raCEdxmV%2Fimage.png?alt=media&#x26;token=95e0791b-5997-461a-9e56-35d11b6abf28" alt=""><figcaption><p>Model Hub</p></figcaption></figure>

This way, it allows users to decide which AI model is best for their AI Agent. For certain use cases, speed might outweigh accuracy.

Users can test up to three models simultaneously in a conversation. Models can also be enabled or disabled mid-session, allowing focused testing without unnecessary credit usage.

The Model Hub is particularly useful for:

* **Developers:** Testing the core capabilities of models to determine their strengths and weaknesses.
* **Advanced Users**: Comparing models for specific tasks or scenarios to select the best one.
* **Educational Insights**: Observing how models process inputs and understanding their decision-making.

{% embed url="https://www.youtube.com/watch?v=iNUA8LAul5Y" %}
Model Hub Tutorial
{% endembed %}
