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‎articles/ai-foundry/openai/concepts/model-retirements.md

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description: Learn about model deprecations and retirements in Azure OpenAI.
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 07/16/2025
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ms.date: 08/14/2025
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ms.custom:
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manager: nitinme
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author: mrbullwinkle

‎articles/ai-foundry/openai/includes/retirement/models.md

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titleSuffix: Azure OpenAI in Azure AI Foundry Models
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description: Model retirement table for Azure OpenAI in Azure AI Foundry Models.
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manager: nitinme
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ms.date: 06/25/2025
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ms.date: 08/14/2025
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ms.service: azure-ai-openai
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ms.topic: include
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### Text generation
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| Model | Version | Lifecycle<br>Status | Retirement date | Replacement model |
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| --------------------------|------------------ |:----------------------|------------------------------------|--------------------------------------|
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| --------------------------|-------------------|:----------------------|------------------------------------|--------------------------------------|
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| `computer-use-preview` | 2025-03-11 | Preview | No earlier than October 10, 2025 | |
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| `o1-mini` | 2024-09-12 | Generally Available | No earlier than October 27, 2025 | |
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| `gpt-35-turbo` | 1106 | Generally Available | No earlier than October 15, 2025 | `gpt-4.1-mini` |
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| `gpt-35-turbo` | 0125 | Generally Available | No earlier than October 15, 2025 | `gpt-4.1-mini` |
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| `gpt-3.5-turbo-instruct` | 0914 | Generally Available | No earlier than October 15, 2025 | |
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| `gpt-4` | turbo-2024-04-09 | Generally Available | No earlier than October 15, 2025 | `gpt-4.1` |
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| `o1-mini` | 2024-09-12 | Generally Available | No earlier than October 27, 2025 | `o4-mini` |
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| `gpt-5-chat` | 2025-08-07 | Preview | No earlier than November 15, 2025 | |
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| `model-router` | 2025-05-19 | Preview | No earlier than November 30, 2025 | |
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| `model-router` | 2025-08-07 | Preview | No earlier than November 30, 2025 | |
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| `o3-mini` | 2025-01-31 | Generally Available | No earlier than February 1, 2026 | |
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| `gpt-35-turbo` | 1106 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1-mini` version: `2025-04-14` |
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| `gpt-35-turbo` | 0125 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1-mini` version: `2025-04-14` |
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| `gpt-4` | turbo-2024-04-09 | Generally Available | No earlier than February 27, 2026 | `gpt-4o` version: `2024-11-20` |
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| `gpt-4o` | 2024-05-13 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1` version: `2025-04-14` |
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| `gpt-4o-mini` | 2024-07-18 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1-mini` version: `2025-04-14` |
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| `gpt-3.5-turbo-instruct` | 0914 | Generally Available | No earlier than February 27, 2026 | |
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| `gpt-4o` | 2024-08-06 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1` version: `2025-04-14` |
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| `gpt-4o` | 2024-11-20 | Generally Available | No earlier than March 1, 2026 | `gpt-4.1` version: `2025-04-14` |
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| `o3-mini` | 2025-01-31 | Generally Available | No earlier than February 1, 2026 | `o4-mini` |
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| `gpt-4o` | 2024-05-13 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1` |
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| `gpt-4o-mini` | 2024-07-18 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1-mini` |
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| `gpt-4o` | 2024-08-06 | Generally Available | No earlier than February 27, 2026 | `gpt-4.1` |
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| `gpt-4o` | 2024-11-20 | Generally Available | No earlier than March 1, 2026 | `gpt-4.1` |
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| `gpt-4.1` | 2025-04-14 | Generally Available | No earlier than April 11, 2026 | |
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| `gpt-4.1-mini` | 2025-04-14 | Generally Available | No earlier than April 11, 2026 | |
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| `gpt-4.1-nano` | 2025-04-14 | Generally Available | No earlier than April 11, 2026 | |
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| `gpt-5-mini` | 2025-08-07 | Generally Available | No earlier than August 7, 2026 | |
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| `gpt-5-nano` | 2025-08-07 | Generally Available | No earlier than August 7, 2026 | |
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# [Audio](#tab/audio)
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### Audio

‎articles/machine-learning/how-to-troubleshoot-online-endpoints.md

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To see log output from a container, use the following command:
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```azurecli
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az ml online-deployment get-logs -e <endpoint-name> -n <deployment-name> -l 100
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az ml online-deployment get-logs -g <resource-group> -w <workspace-name> -e <endpoint-name> -n <deployment-name> -l 100
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```
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Or
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```azurecli
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az ml online-deployment get-logs --endpoint-name <endpoint-name> --name <deployment-name> --lines 100
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az ml online-deployment get-logs --resource-group <resource-group> --workspace-name <workspace-name> --endpoint-name <endpoint-name> --name <deployment-name> --lines 100
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```
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By default, logs are pulled from the inference server. You can get logs from the storage initializer container by passing `–-container storage-initializer`.
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Add `--resource-group` and `--workspace-name` to the commands if you didn't already set these parameters via `az configure`. To see information about how to set these parameters, or if you currently have set values, run the following command:
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The commands above include `--resource-group` and `--workspace-name`. You can also set these parameters globally via `az configure` to avoid repeating them in each command. For example:
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```azurecli
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az configure --defaults group=<resource-group> workspace=<workspace-name>
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```
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To check your current configuration settings, run:
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az ml online-deployment get-logs -h
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az configure --list-defaults
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```
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To see more information, add `--help` or `--debug` to commands.

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