> For the complete documentation index, see [llms.txt](https://docs.ionos.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ionos.com/cloud/ai/ai-model-hub/models.md).

# Models

We continually strive to bring you the best and latest AI technologies, ensuring you have access to cutting-edge solutions that deliver the optimal experience. Therefore, we continuously update our model catalog by introducing the latest models and retiring older ones.

This page provides a detailed list of models, categorized by their current status, to keep you informed about upcoming changes in model availability.

## Active models

The following models are currently active in the AI Model Hub with no scheduled retirement date:

* [<mark style="color:blue;">**Large Language Models**</mark>](/cloud/ai/ai-model-hub/models/llms.md)
* [<mark style="color:blue;">**Coding models**</mark>](/cloud/ai/ai-model-hub/models/coding-models.md)
* [<mark style="color:blue;">**Text To Image Models**</mark>](/cloud/ai/ai-model-hub/models/image-generation-models.md)
* [<mark style="color:blue;">**OCR Models**</mark>](/cloud/ai/ai-model-hub/models/ocr-models.md)
* [<mark style="color:blue;">**Embedding Models**</mark>](/cloud/ai/ai-model-hub/models/embedding-models.md)
* [<mark style="color:blue;">**Reranking Models**</mark>](/cloud/ai/ai-model-hub/models/reranking-models.md)

To estimate the cost of using these models, see [<mark style="color:blue;">How can I estimate my costs before I start?</mark>](/cloud/ai/ai-model-hub/faqs.md#how-can-i-estimate-my-costs-before-i-start)

## Scheduled for Retirement

The following models are scheduled to be retired. After the specified date, they will no longer be available to use in the AI Model Hub:

| **Model Provider** |   **Model Name**   | **Scheduled to Retire On** |                                             **Alternative**                                             |
| :----------------: | :----------------: | :------------------------: | :-----------------------------------------------------------------------------------------------------: |
|       *Meta*       |    Llama 3.1 8B    |      October 15, 2026      |   [<mark style="color:blue;">**Qwen3.5-9B**</mark>](/cloud/ai/ai-model-hub/models/llms/qwen3-5-9b.md)   |
|      *Mistral*     | Mistral Nemo (12B) |      October 22, 2026      |   [<mark style="color:blue;">**Qwen3.5-9B**</mark>](/cloud/ai/ai-model-hub/models/llms/qwen3-5-9b.md)   |
|       *BAAI*       |    BGE Large 1.5   |      October 22, 2026      | [<mark style="color:blue;">**BGE M3**</mark>](/cloud/ai/ai-model-hub/models/embedding-models/bge-m3.md) |

To avoid disruption and ensure long-term support, please replace models scheduled for retirement in current and new projects with suitable alternatives.

## Retired models

These models are no longer available to use in the AI Model Hub:

| **Model Provider** |    **Model Name**   |   **Retired On**   |                                                           **Alternative**                                                          |
| :----------------: | :-----------------: | :----------------: | :--------------------------------------------------------------------------------------------------------------------------------: |
|       *Meta*       |    Llama 3.1 405B   | September 15, 2026 |            [<mark style="color:blue;">**Qwen3.5-397B-A17B**</mark>](/cloud/ai/ai-model-hub/models/llms/qwen3-5-397b.md)            |
|       *Meta*       |    Code Llama 13B   |    May 21, 2026    |  [<mark style="color:blue;">**Qwen3 Coder Next 80B**</mark>](/cloud/ai/ai-model-hub/models/coding-models/qwen3-coder-next-80b.md)  |
|     *openGPT-x*    |      Teuken 7B      |   April 16, 2026   |                 [<mark style="color:blue;">**Qwen3.5-9B**</mark>](/cloud/ai/ai-model-hub/models/llms/qwen3-5-9b.md)                |
|   *stability.ai*   | Stable Diffusion XL |  January 12, 2026  | [<mark style="color:blue;">**FLUX.1 \[schnell\]**</mark>](/cloud/ai/ai-model-hub/models/image-generation-models/flux-1-schnell.md) |
|      *Mistral*     |     Mixtral 8x7B    | September 22, 2025 |          [<mark style="color:blue;">**Mistral Small 24B**</mark>](/cloud/ai/ai-model-hub/models/llms/mistral-small-24b.md)         |
|      *Mistral*     |      Mistral 7B     |   August 1, 2025   |                 [<mark style="color:blue;">**Qwen3.5-9B**</mark>](/cloud/ai/ai-model-hub/models/llms/qwen3-5-9b.md)                |
|       *Meta*       |   Llama 3.1 (70B)   |     May 1, 2025    |        [<mark style="color:blue;">**Meta Llama 3.3 (70B)**</mark>](/cloud/ai/ai-model-hub/models/llms/meta-llama-3-3-70b.md)       |


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.ionos.com/cloud/ai/ai-model-hub/models.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
