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

# Model Packages

## Why Does Alkemi Use Model Packages?

In Alkemi, any question typically undergoes several steps, with different LLMs excelling at various tasks. Therefore, Alkemi employs a dynamic approach, assigning each task to the most suitable LLM. For example, a single request might require the Alkemi agent to: create a plan, continuously reassess it, generate SQL, query data, analyze responses for accuracy, suggest alternatives, transform data, and offer next-step recommendations. This strategy ensures optimal handling of diverse tasks.

We continuously evaluate leading LLMs for each task, selecting the most suitable one based on a mix of speed, cost, and accuracy, tailored to your package choice. Each LLM is tested for accuracy, bias, relevancy, and answer correctness using industry defined best practices and standards for evaluating LLMs.

## What LLMs Are Available?

The table below outlines a list of models that are currently in use in each package.

{% hint style="warning" %}
This list is likely change frequently as new LLMs are benchmarked and made activated in Alkemi often.
{% endhint %}

<table><thead><tr><th valign="top">Provider</th><th>Model</th><th>Available Packages</th></tr></thead><tbody><tr><td valign="top">Google</td><td>gemini-2.0-flash</td><td>Bronze</td></tr><tr><td valign="top">Google</td><td>gemini-2.0-flash-lite</td><td>Bronze</td></tr><tr><td valign="top">OpenAI</td><td>gpt-5-mini</td><td>Bronze</td></tr><tr><td valign="top">OpenAI</td><td>o3-mini</td><td>Bronze, Silver</td></tr><tr><td valign="top">OpenAI</td><td>gpt-4.1-mini</td><td>Silver</td></tr><tr><td valign="top">OpenAI</td><td>o3</td><td>Gold</td></tr><tr><td valign="top">Anthropic</td><td>claude-sonnet-4</td><td>Silver</td></tr><tr><td valign="top">Anthropic</td><td>claude-opus-4</td><td>Gold</td></tr></tbody></table>

Depending on your activated package, different criteria are prioritized. The Bronze package focuses on speed and cost, maintaining accuracy as a key priority. The Silver and Bronze packages allow the use of more advanced LLMs, which may be slower and more costly but offer higher quality responses. Silver and Gold packages are only available on Team plans.

<figure><img src="/files/2McqxDf4YtCLDbOc8IKF" alt=""><figcaption><p>You can use different model packages by selecting the package dropdown in the right hand side bar</p></figcaption></figure>

## Which LLMs Does Alkemi Evaluate for Use?

Not all language models (LLMs) are currently active. Models are only activated if they meet our benchmark criteria. Below is the list of LLMs evaluated for potential use.

| Provider    | Model                      |
| ----------- | -------------------------- |
| Google      | gemini-2.0-flash           |
| Google      | gemini-2.0-flash-lite      |
| Google      | gemini-2.5-flash           |
| Google      | gemini-2.5-flash-lite      |
| Google      | gemini-2.5-pro             |
| OpenAI      | gpt-4o                     |
| OpenAI      | gpt-4o-mini                |
| OpenAI      | o3                         |
| OpenAI      | o3-mini                    |
| OpenAI      | o3-mini-high               |
| OpenAI      | gpt-4.1                    |
| OpenAI      | gpt-4.1-mini               |
| OpenAI      | gpt-4.1-nano               |
| OpenAI      | o4-mini                    |
| OpenAI      | o4-mini-high               |
| OpenAI      | gpt-5                      |
| OpenAI      | gpt-5-mini                 |
| OpenAI      | gpt-5-nano                 |
| Anthropic   | claude-3.7-sonnet          |
| Anthropic   | claude-3.7-sonnet:thinking |
| Anthropic   | claude-sonnet-4            |
| Anthropic   | claude-opus-4              |
| DeepSeek    | deepseek-r1                |
| DeepSeek    | deepseek-chat-v3-0324      |
| Moonshot AI | kimi-k2                    |


---

# 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:

```
GET https://docs.alkemi.ai/documentation/models-and-pricing/model-packages.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.