> For the complete documentation index, see [llms.txt](https://docs.glbnxt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.glbnxt.com/tutorials/video/exploring-the-model-hub.md). # Exploring the Model Hub ### **All the Models You Need, Zero Vendor Lock-In** Choosing an AI model usually means choosing a specific vendor and getting locked into their ecosystem. With the Global Next platform, you get access to models from every major provider, including Anthropic, OpenAI, Mistral, IBM, Nvidia, and many more, all in one place. You can use a mixture of open-source models, commercial frontier models, and efficient alternatives across your entire platform, allowing you to switch models whenever you want without having to switch vendors. {% embed url="" %} ### Key Capabilities * **Zero Lock-In:** Switch between different models and providers instantly. * **Curated Recommendations:** The platform highlights and recommends models based on performance, value, and fit for common customer use cases. * **Standardized Access:** All models are standardized and ready to use immediately. ### Step-by-Step Guide #### 1. Accessing the Model Hub To get started, simply open the **Model Hub** directly from the Global Next dashboard. Here, you will find a comprehensive overview of all available models. If you are unsure where to begin, the recommended models section is always a good starting point. #### 2. Filtering for Specific Use Cases If you need a model for a highly specific task, you can easily use the built-in filters. * **By Task:** For example, if you need a coding model, select "coding" as your use case to immediately see models optimized for software engineering. * **By Region:** If you are building a RAG (Retrieval-Augmented Generation) pipeline and require an embedding model that strictly runs in Europe, you can filter by "hosting region" to only see models hosted on EU-based infrastructure. #### 3. Reviewing Model Specifications Models have many parameters and specifications. To view the details of any model, simply click on it . This pulls up a detailed view containing: * A general description. * The Model ID, creator, and specific hosting location. * The supported input and output modalities. #### 4. Deep Dive into Technical Details For advanced users who want to study a model in depth, you can access the full technical specification under the **Model Card**. This section allows you to explore the capabilities the model supports and review specific parameters, helping you tweak the model exactly to your intended application and solution. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.glbnxt.com/tutorials/video/exploring-the-model-hub.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.