The Glean model hub provides secure and easy access to a variety of large language models (LLMs), both commercial and open-source, for use with the Glean platform. Users can pick and choose models for their agents and each step in an agentic workflow without needing technical expertise or engineering resources.
What is the Model Hub?
The Model Hub offers over 15 leading open source and proprietary models from providers like OpenAI, Google, Anthropic, Amazon, and Meta.
Flexible Key Options:
- Glean Universal Model Key (formerly Glean Key): Access pre-procured and managed models. Glean handles model provider agreements to ensure your data is never retained or used for model training.
- Customer Key: Use your existing model keys for LLM providers in Glean
Supported Models for Glean Agents
We provide a wide range of models for Glean Agents that are categorized into Basic, Standard, and Premium based on their reasoning capabilities and overall cost to run.
With Enterprise Flex, each agent run uses FlexCredits that are determined by the complexity of an agent including how many data sources it searches, how many steps it takes, how much memory it maintains, how many actions it executes, and the model used for each step. Agents that use higher-tiered models will consume more credits than agents that use lower-tiered models.
Basic
| |
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OpenAI (via Azure or OpenAI) | - GPT 5 mini
- GPT 5 nano
- GPT 4.1 mini
- GPT-4o-mini
|
Google Gemini (via Google Vertex AI) | - Gemini 2.5 Flash
- Gemini 2.0 Flash
|
Llama (via Google Vertex AI or Amazon Bedrock) | - Llama 4 Maverick
- Llama 4 Scout
|
Standard
| |
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OpenAI (via Azure or OpenAI) | - GPT 5
- GPT 4.1
- GPT-4o
- o3
- o3-mini
- o4-mini
|
Google Gemini (via Google Vertex AI) | |
Anthropic (via Google Vertex AI or Amazon Bedrock) | - Claude Sonnet 4
- Claude 3.7 Sonnet
- Claude 3.5 Sonnet
- Claude 3.5 V2
- Claude 3.5 Haiku
|
Amazon | |
DeepSeek | |
Premium
| |
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Anthropic (via Google Vertex AI or Amazon Bedrock) | - Claude Opus 4.1 (coming soon)
|
Last updated: September 23rd, 2025
Supported Models for Glean Assistant
We provide a wide range of models for Glean Assistant that are categorized into Basic, Standard, and Premium based on their reasoning capabilities and overall cost to run. If you are on the Universal Model Key, Glean will optimize your experience using the best-in-class Basic and Standard models. Glean will choose the default while giving you model choice.
With Enterprise Flex, everyday Assistant queries that leverage Basic and Standard models will not use credits. If you wish to choose to use Premium models for advanced queries, credits will be consumed.
Basic
| |
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OpenAI (via Azure or OpenAI) | |
Google Gemini (via Google Vertex AI) | - Gemini 2.5 Flash
- Gemini 2.0 Flash
|
Standard
| |
---|
OpenAI (via Azure or OpenAI) | |
Google Gemini (via Google Vertex AI) | |
Anthropic (via Google Vertex AI or Amazon Bedrock) | - Claude Sonnet 4
- Claude 3.7 Sonnet
- Claude 3.5 Sonnet V2
- Claude 3.5 Haiku
|
Premium
| |
---|
Anthropic (via Google Vertex AI or Amazon Bedrock) | - Claude Opus 4.1 (coming soon)
|
Assistant often requires a combination of Basic and Standard models to run depending on the model family. Supported combinations of models are as follows:
| |
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OpenAI (via Azure or OpenAI) | - GPT-5 for agentic reasoning only
- GPT-4.1 with GPT-4.1-mini
- GPT-4.1 with GPT-4o-mini
- GPT-4o and GPT-4o mini
|
Google Gemini (via Google Vertex AI) | - Gemini 2.5 Pro with Gemini 2.5 Flash
- Gemini 2.0 Flash
|
Anthropic (via Google Vertex AI or Amazon Bedrock) | - Claude Sonnet 4
- Claude 3.7 Sonnet with Claude 3.5 Haiku
- Claude 3.5 Sonnet V2 with Claude 3.5 Haiku
|
Last updated: September 23rd, 2025
Enabling the model hub
Models are preconfigured and managed by Glean. You simply exclude models that you do not want enabled in your environment. Deprecated models are automatically replaced with the latest version.
- Go to the admin console.
- Select “LLM” under the “Platform” tab.
- Click “Add LLM.”
- Select a hosting provider.
- All models available for you will be shown here. Simply exclude models that you do not want to use.
For Customer Key:
- Go to the Admin Console.
- Select “LLM” under the “Platform” tab.
- Click “Add LLM.”
- Select a hosting provider and follow the specific configuration steps:
- Azure OpenAI:
- Ensure that assistant is configured.
- In your Azure Portal, go to “Keys and Endpoints”, determine the Key and Endpoint to be used with Glean and add them here.
- If you have not yet already configured the assistant, select models for Assistant.
- For each selected model, add the deployment name configured on Azure.
- Select models for Agents.
- For each selected model, add the deployment name configured on Azure.
- Validate the connection.
- Click “Save.”
- To remove a model, uncheck it, validate, and save.
- Amazon Bedrock (self-hosted on AWS only):
- Enter your preferred region.
- If you have not yet already configured the assistant, select models for Assistant.
- Select models for Agents.
- Validate the connection.
- Click “Save.”
- To remove a model, uncheck it, validate, and save.
- Google Vertex AI (self-hosted on GCP only):
- If you have not yet already configured the assistant, select models for Assistant.
- Select models for Agents.
- Ensure selected models are enabled in Google Model Garden.
- Validate the connection.
- Click “Save.”
- To remove a model, uncheck it, validate, and save.
- OpenAI:
- Enter your API key to be used with Glean from the OpenAI Portal.
- If you have not yet already configured the assistant, select models for Assistant.
- Select models for Agents.
- Validate the connection.
- Click “Save.”
- To remove a model, uncheck it, validate, and save.
For customer keys: If GCP is your hosting provider, you cannot add models from AWS, and vice versa.
How to change the model used by your agent
To set the default model that will be used in all steps of the agent, go to agent settings (gear icon in the header) and click on Select Model.
How to change the model used in an agent step
You also have the option of changing the model for only a single step.
Click on the step in the canvas and then select the model.
