# Workspace model availability > For the complete documentation index, see [llms.txt](https://learn.chatgpt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL. The models available to someone depend on the product surface and how they signed in. A model setting in your ChatGPT workspace doesn't automatically apply to Codex in the ChatGPT desktop app, Codex CLI, the IDE extension, Codex cloud, or the OpenAI API. For the complete administration model, see [Roles and workspace permissions](https://learn.chatgpt.com/docs/enterprise/roles-and-workspace-permissions). ## Identify the model boundary | Product or authentication boundary | Model access follows | Current source | | ------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | | ChatGPT workspace | The workspace plan, member access, workspace settings, and supported role permissions | [ChatGPT Enterprise and Edu models and limits](https://help.openai.com/en/articles/11165333-chatgpt-enterprise-models-limits) | | Codex in the ChatGPT desktop app, Codex CLI, and IDE extension with ChatGPT sign-in | Models supported by the specific client and the access available to the signed-in ChatGPT identity | [Codex models](https://learn.chatgpt.com/docs/models) and current workspace guidance | | Codex cloud | Models supported by hosted Codex workflows and the access available to the signed-in ChatGPT identity | [Codex models](https://learn.chatgpt.com/docs/models) and [Codex cloud](https://learn.chatgpt.com/docs/cloud) | | Codex in the ChatGPT desktop app, Codex CLI, and IDE extension with API-key authentication | The OpenAI API organization and project associated with the key | [Authentication](https://learn.chatgpt.com/docs/auth) and the [OpenAI API Platform](https://platform.openai.com/docs/overview) | Check the current source for the surface the user is actually using. Don't copy a model catalog or assume that a ChatGPT model-picker setting has the same effect for Codex in the ChatGPT desktop app, Codex CLI, IDE extension, Codex cloud, and the API Platform. ## Set a clear starting experience for employees Configure [Models settings](https://help.openai.com/en/articles/8411955) for your workspace before granting access. Workspace owners and admins can configure separate starting defaults for Chat and for Work and Codex. Where supported, choose a starting model, reasoning level, speed, and new-chat behavior for Chat, Work, and local Codex surfaces. Treat these choices as defaults, not permissions. Available models still depend on the member's seat, role, workspace or API identity, enforced workspace requirements, and the specific surface they're using. Starting defaults don't grant access to unavailable models or override those requirements. Codex cloud doesn't support changing its default model. Fast mode availability depends on the workspace, product surface, and any enforced `features.fast_mode` setting in [`requirements.toml`](https://learn.chatgpt.com/docs/config-file/config-reference#requirementstoml). This setting can pin Fast mode on or off for managed local Codex clients; it isn't a starting default and can't override workspace or product availability. ## GPT-6 Sol and Luna in Enterprise GPT-6 Sol and GPT-6 Luna are off by default in Enterprise workspaces at launch. An administrator must enable each model before members can select it. Review your [workspace model settings](https://help.openai.com/en/articles/8411955) and confirm access on each client. Choosing a model in local configuration doesn't override workspace controls. ## GPT-6.1 Sol in Enterprise GPT-6.1 Sol has its own planned rollout. The plan keeps it off by default in Enterprise and Edu until an administrator enables it. Check your [workspace model settings](https://help.openai.com/en/articles/8411955) and the [Codex model rollout](https://learn.chatgpt.com/docs/models#gpt-61-sol) before changing a workspace default. Choosing a model in local configuration doesn't grant access. ## GPT-6 Astra in Enterprise Astra is off by default at launch in eligible ChatGPT Enterprise and Edu workspaces. A workspace owner must enable access through workspace model settings. Access does not automatically turn on after two weeks. Existing Early Model Access settings do not grant access to Astra. Workspace owners can enable Astra for the workspace or specific roles across Chat, Work, and Codex. Existing product eligibility still applies. Review your [workspace model settings](https://help.openai.com/en/articles/8411955) and confirm availability on each client your users rely on. Enabling access and choosing a starting model are separate decisions. Check the applicable seat, role, and billing arrangement before setting Astra as a default. See [pricing](https://learn.chatgpt.com/docs/pricing) for allowance and billing guidance and [safety monitoring](https://learn.chatgpt.com/docs/agent-approvals-security#safety-monitoring-and-paused-tasks) for tasks that pause for review. For API-key sign-in, Astra access follows the API organization and project associated with the key. Enabling Astra in a ChatGPT workspace doesn't grant API access. Early access with an API key also requires client configuration; ask your OpenAI account team for setup instructions. Selecting a model or changing local configuration doesn't grant access by itself. ## Prepare for the GPT-5.5 retirement On October 14, 2026, GPT-5.5 will retire from ChatGPT, ChatGPT Work, and Codex on all plans, including consumer, Business, Enterprise, and Edu plans. This retirement does not apply to the OpenAI API. Before October 14, review workspace defaults for ChatGPT, ChatGPT Work, and Codex and choose an available replacement for each surface. For Work and Codex with ChatGPT sign-in, choose `gpt-6-sol` (GPT-6 Sol) once an administrator has enabled it for the affected users. Replace `gpt-5.5` in workspace defaults, saved model settings, managed configurations, custom agents, and scheduled tasks. Check scripts and commands that explicitly select `gpt-5.5` too. Changing a default doesn't grant model access. Confirm that the replacement is available to the affected users on each client. See [Codex models](https://learn.chatgpt.com/docs/models#gpt-55-retirement) and [managed configuration](https://learn.chatgpt.com/docs/enterprise/managed-configuration) for migration guidance. ## Prepare for the GPT-5.4 retirement GPT-5.4 and GPT-5.4 mini retired from Codex for users signed in with ChatGPT on August 31, 2026. Update any remaining workspace defaults, saved model settings, managed configurations, custom agents, and scheduled tasks with models available to the affected users' plans and clients: - Replace `gpt-5.4` with `gpt-6-sol` (GPT-6 Sol) when available. - Replace `gpt-5.4-mini` with `gpt-6-luna` (GPT-6 Luna) when available. In Enterprise and Edu, an administrator must enable Luna first. The OpenAI API and Codex authenticated with your own API key aren't affected. See [Codex models](https://learn.chatgpt.com/docs/models#deprecated-codex-models) and [managed configuration](https://learn.chatgpt.com/docs/enterprise/managed-configuration) for migration details. ## Separate access from runtime permissions Model access determines whether a model is available to the authenticated user on a supported surface. Local permission profiles and managed requirements determine what an agent can do after a local run starts, such as which files it can change or which network destinations it can reach. A permission profile can't grant model access. Model access also can't weaken the sandbox, approval policy, network controls, or source-system permissions that apply to a run. ## Troubleshoot model access If a user can't select an expected model: - Confirm the product surface and sign-in method. - Confirm the ChatGPT workspace or Platform API organization and project. - Review the current access controls for that authentication boundary. - Check whether the selected local client or Codex cloud supports the model. ## Current sources - [ChatGPT Enterprise and Edu models and limits](https://help.openai.com/en/articles/11165333-chatgpt-enterprise-models-limits) - [Manage workspace settings](https://help.openai.com/en/articles/8411955) - [Role-based access control](https://help.openai.com/en/articles/11750701-rbac) - [Codex models](https://learn.chatgpt.com/docs/models) - [Codex feature availability by plan](https://learn.chatgpt.com/docs/pricing#feature-availability) - [Authentication](https://learn.chatgpt.com/docs/auth) ## Related docs - [Admin rollout guide](https://learn.chatgpt.com/docs/enterprise/admin-setup) - [Groups and provisioning](https://learn.chatgpt.com/docs/enterprise/groups-and-provisioning) - [Roles and workspace permissions](https://learn.chatgpt.com/docs/enterprise/roles-and-workspace-permissions) - [Managed configuration](https://learn.chatgpt.com/docs/enterprise/managed-configuration)