> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://help.sigmacomputing.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://help.sigmacomputing.com/_mcp/server.

# Supported AI models

> Reference the reasoning and embeddings models that Sigma uses for each supported AI provider, including deprecated and planned models.

The models that Sigma uses for AI-powered features depend on the AI provider you set up when you [configure AI features for your organization](/docs/configure-ai-features-for-your-organization). You cannot choose which model Sigma uses, and Sigma might update the supported models over time.

> **Note**
>
> The use of AI features is subject to the following [disclaimer](/docs/notice-for-enabling-ai-enabled-features-in-sigma).

## Reasoning models

Sigma uses a reasoning model for AI-powered features. The following table lists the reasoning model that Sigma currently uses for each provider. When Sigma plans to deprecate or replace a model, the relevant model and date are also listed:

<table>
  <thead>
    <tr>
      <th>
        AI provider
      </th>

      <th>
        Model status
      </th>

      <th>
        Model
      </th>

      <th>
        Date
      </th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td rowspan="3">
        [BigQuery](/docs/configure-warehouse-ai-model-integration#bigquery-requirements)

         

        \


        (warehouse-hosted)
      </td>

      <td>
        Current
      </td>

      <td>
        Gemini 3.6 Flash
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Gemini 2.5 Pro
      </td>

      <td>
        August 10, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td>
        Gemini 3.1 Pro
      </td>

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [Databricks](/docs/configure-warehouse-ai-model-integration#databricks-requirements)

         

        \


        (warehouse-hosted)
      </td>

      <td>
        Current
      </td>

      <td>
        Claude Sonnet 5
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Claude Sonnet 4.5
      </td>

      <td>
        September 30, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td />

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [Snowflake](/docs/configure-warehouse-ai-model-integration#snowflake-requirements)

         

        \


        (warehouse-hosted)
      </td>

      <td>
        Current
      </td>

      <td>
        Claude Sonnet 5 (AWS-hosted accounts)

        1

        \


        GPT-5.1 (Azure-hosted accounts)
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Claude Sonnet 4.5 (AWS-hosted accounts)
      </td>

      <td>
        April 3, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td />

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [OpenAI](/docs/manage-external-ai-integrations#add-openai-as-an-ai-provider)

         

        \


        (external)
      </td>

      <td>
        Current
      </td>

      <td>
        GPT-5.6
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        GPT-4.x
      </td>

      <td>
        February 2, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td />

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [Gemini](/docs/manage-external-ai-integrations#add-google-gemini-as-an-ai-provider)

         

        \


        (external)
      </td>

      <td>
        Current
      </td>

      <td>
        Gemini 3.6 Flash
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Gemini 2.5 Pro
      </td>

      <td>
        August 10, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td>
        Gemini 3.1 Pro
      </td>

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [Anthropic](/docs/manage-external-ai-integrations#add-anthropic-as-an-ai-provider)

         

        \


        (external)
      </td>

      <td>
        Current
      </td>

      <td>
        Claude Sonnet 5
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Claude Sonnet 4.5
      </td>

      <td>
        September 30, 2026
      </td>
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td />

      <td />
    </tr>

    <tr>
      <td rowspan="3">
        [Amazon Bedrock](/docs/manage-external-ai-integrations#add-amazon-bedrock-as-an-ai-provider)

         

        \


        (external)
      </td>

      <td>
        Current
      </td>

      <td>
        Claude Sonnet 4.5
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td />

      <td />
    </tr>

    <tr>
      <td>
        Planned
      </td>

      <td>
        Claude Sonnet 5

        \


        Claude Haiku 4.5
      </td>

      <td />
    </tr>
  </tbody>
</table>

If you use [Azure OpenAI](/docs/manage-external-ai-integrations#add-azure-openai-as-an-ai-provider), you can choose which model to use. Sigma recommends using the same model listed as **Current** for OpenAI.

1 Assistant in the workbook continues to use Claude Sonnet 4.5.

## Embeddings models

Sigma uses an embeddings model to create embeddings of your documents for [semantic search](/docs/search-in-sigma). The following table lists the embeddings model that Sigma currently uses for each provider:

| AI provider                                                                                             | Currently supported embeddings model |
| :------------------------------------------------------------------------------------------------------ | :----------------------------------- |
| [BigQuery](/docs/configure-warehouse-ai-model-integration#bigquery-requirements) (warehouse-hosted)     | `gemini-embedding-001`               |
| [Databricks](/docs/configure-warehouse-ai-model-integration#databricks-requirements) (warehouse-hosted) | `GTE v1.5`                           |
| [Snowflake](/docs/configure-warehouse-ai-model-integration#snowflake-requirements) (warehouse-hosted)   | `snowflake-arctic-embed-l-v2.0`      |
| [OpenAI](/docs/manage-external-ai-integrations#add-openai-as-an-ai-provider) (external)                 | `text-embedding-3-small`             |
| [Azure OpenAI](/docs/manage-external-ai-integrations#add-azure-openai-as-an-ai-provider) (external)     | `text-embedding-3-small`             |
| [Gemini](/docs/manage-external-ai-integrations#add-google-gemini-as-an-ai-provider) (external)          | `gemini-embedding-001`               |
| [Amazon Bedrock](/docs/manage-external-ai-integrations#add-amazon-bedrock-as-an-ai-provider) (external) | Amazon Titan Text Embeddings         |

By default, Sigma uses your AI provider to generate embeddings. To use a different provider for embeddings, configure a separate **Embeddings provider** in **Administration** > **AI settings** and select another provider from this table. If you use [Anthropic](/docs/manage-external-ai-integrations#add-anthropic-as-an-ai-provider) as your AI provider, you must configure a separate embeddings provider because Anthropic does not provide an embeddings model that Sigma can use. You cannot bring your own embeddings model.

When you update the embeddings provider, Sigma updates the index of searchable sources in the background.

## Related resources

* [Configure AI features for your organization](/docs/configure-ai-features-for-your-organization)
* [Configure a warehouse-hosted model as AI provider](/docs/configure-warehouse-ai-model-integration)
* [Configure an external AI provider](/docs/manage-external-ai-integrations)