> 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.

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)

         

        <br />

        (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)

         

        <br />

        (warehouse-hosted)
      </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
      </td>

      <td />
    </tr>

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

         

        <br />

        (warehouse-hosted)
      </td>

      <td>
        Current
      </td>

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

        <br />

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

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

      <td>
        Claude Sonnet 4 (AWS-hosted accounts)
      </td>

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

    <tr>
      <td>
        Planned
      </td>

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

      <td />
    </tr>

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

         

        <br />

        (external)
      </td>

      <td>
        Current
      </td>

      <td>
        GPT-5.4

        <br />

        GPT-5.1
      </td>

      <td />
    </tr>

    <tr>
      <td>
        Deprecated
      </td>

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

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

    <tr>
      <td>
        Planned
      </td>

      <td>
        GPT-5.6
      </td>

      <td />
    </tr>

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

         

        <br />

        (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)

         

        <br />

        (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 />

      <td />
    </tr>

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

         

        <br />

        (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

        <br />

        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.

## 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 starts a reindex 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)