# EbbotGPT LLMs

On the page you can read about the technical details and practical implications of our in-house models in EbbotGPT. For more technical documentation about the additional LLMs that we support in EbbotGPT, we refer to the AI providers docs. 

These LLMs can be used when building agents regardless if you're building a chat agent, an email agent or using the EbbotGPT API. 

## Available in-house models in EbbotGPT <a href="#gpt-models" id="gpt-models"></a>

We regularly release new and improved LLM versions. Our currently available models are:

* **EbbotGPT 3  -** Released 3/11-2025

### EbbotGPT 3

#### Knowledge comprehension

EbbotGPT 3 has almost twice the parameters of EbbotGPT 2 which improves its knowledge comprehension and problem-solving capabilities.

#### Speed

Despite being bigger than EbbotGPT 2, EbbotGPT 3 is twice as fast because it uses a Mixture of Experts (MoE) architecture. This means the model only activates the most relevant 5% of its parameters to answer a user's query.

#### Integrated tool calling

EbbotGPT 3 features integrated tool calling, enabling it to seamlessly decide whether to use a tool or generate an answer from the uploaded knowledge.

#### Context window

With a context window of 31,000 tokens, EbbotGPT 3 can process and manage four times more information than EbbotGPT 2.

<table><thead><tr><th>EbbotGPT LLMs</th><th>Speed (1-10)</th><th>Knowledge (1-10)</th><th data-type="checkbox">Integrated tool calling</th><th data-type="number">Context window (tokens)</th></tr></thead><tbody><tr><td>2</td><td>6</td><td>7</td><td>false</td><td>8000</td></tr><tr><td>3</td><td>8</td><td>9</td><td>true</td><td>31000</td></tr></tbody></table>

{% content-ref url="../../developer-resources/ebbotgpt/ebbotgpt-3-info-sheet" %}
[ebbotgpt-3-info-sheet](https://docs.ebbot.ai/ebbot-docs/developer-resources/ebbotgpt/ebbotgpt-3-info-sheet)
{% endcontent-ref %}

## Additional models available in EbbotGPT

It is possible to use external LLMs in EbbotGPT. See what additional, external models that are available below.

#### OpenAI GPT (Azure)

* GPT-4: [Click here to visit OpenAI's page for technical details about GPT-4.](https://platform.openai.com/docs/models/gpt-4)
* GPT-4o: [Click here to visit OpenAI's page for technical details about GPT-4o.](https://platform.openai.com/docs/models/gpt-4o)

#### Google AI

* Gemini 2.0 Flash: [Click here to visit Google's page for technical details about Gemini 2.0 Flash.](https://ai.google.dev/gemini-api/docs/models/gemini-2.0-flash)
* Gemini 2.5 Flash: [Click here to visit Google's page for technical details about Gemini 2.5 Flash.](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash)
* Gemini 3 Flash: [Click here to visit Google's page for technical details about Gemini 3 Flash.](https://deepmind.google/models/gemini/flash/)

For more technical information on model performance, follow the link below.

{% content-ref url="../../developer-resources/ebbotgpt/model-comparisons" %}
[model-comparisons](https://docs.ebbot.ai/ebbot-docs/developer-resources/ebbotgpt/model-comparisons)
{% endcontent-ref %}


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