Prepping models for deprecation (#59152)

Author: sunbrye

content/copilot/concepts/billing/copilot-requests.md

@@ -103,6 +103,6 @@ If you use **{% data variables.copilot.copilot_free_short %}**, you have access
 
 Premium request usage is based on the model’s multiplier and the feature you’re using. For example:
 
-* **Using {% data variables.copilot.copilot_claude_opus_41 %} in {% data variables.copilot.copilot_chat_short %}**: With a 10× multiplier, one interaction counts as 10 premium requests.
+* **Using {% data variables.copilot.copilot_claude_opus_45 %} in {% data variables.copilot.copilot_chat_short %}**: With a 3× multiplier, one interaction counts as 3 premium requests.
 * **Using {% data variables.copilot.copilot_gpt_5_mini %} on {% data variables.copilot.copilot_free_short %}**: Each interaction counts as 1 premium request.
 * **Using {% data variables.copilot.copilot_gpt_5_mini %} on a paid plan**: No premium requests are consumed.

content/copilot/reference/ai-models/model-comparison.md

@@ -40,12 +40,12 @@ Use this table to find a suitable model quickly, see more detail in the sections
 
 Use these models for common development tasks that require a balance of quality, speed, and cost efficiency. These models are a good default when you don't have specific requirements.
 
-| Model                                            | Why it's a good fit                                                                                                                             |
-|--------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|
-| {% data variables.copilot.copilot_gpt_5_codex %} | Delivers higher-quality code on complex engineering tasks like features, tests, debugging, refactors, and reviews without lengthy instructions. |
-| {% data variables.copilot.copilot_gpt_5_mini %}  | Reliable default for most coding and writing tasks. Fast, accurate, and works well across languages and frameworks.                             |
-| {% data variables.copilot.copilot_grok_code %}   | Specialized for coding tasks. Performs well on code generation, and debugging across multiple languages.                                        |
-| {% data variables.copilot.copilot_raptor_mini %} | Specialized for fast, accurate inline suggestions and explanations.                                        |
+| Model                                             | Why it's a good fit                                                                                                                             |
+|---------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|
+| {% data variables.copilot.copilot_gpt_51_codex %} | Delivers higher-quality code on complex engineering tasks like features, tests, debugging, refactors, and reviews without lengthy instructions. |
+| {% data variables.copilot.copilot_gpt_5_mini %}   | Reliable default for most coding and writing tasks. Fast, accurate, and works well across languages and frameworks.                             |
+| {% data variables.copilot.copilot_grok_code %}    | Specialized for coding tasks. Performs well on code generation, and debugging across multiple languages.                                        |
+| {% data variables.copilot.copilot_raptor_mini %}  | Specialized for fast, accurate inline suggestions and explanations.                                        |
 
 ### When to use these models
 
@@ -92,11 +92,11 @@ These models are designed for tasks that require step-by-step reasoning, complex
 
 | Model                                                 | Why it's a good fit                                                                                           |
 |-------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|
-| {% data variables.copilot.copilot_gpt_5_mini %}            | Delivers deep reasoning and debugging with faster responses and lower resource usage than GPT-5. Ideal for interactive sessions and step-by-step code analysis. |
-| {% data variables.copilot.copilot_gpt_5 %}            | Great at complex reasoning, code analysis, and technical decision-making.                                     |
+| {% data variables.copilot.copilot_gpt_5_mini %}       | Delivers deep reasoning and debugging with faster responses and lower resource usage than GPT-5. Ideal for interactive sessions and step-by-step code analysis. |
+| {% data variables.copilot.copilot_gpt_52 %}           | Great at complex reasoning, code analysis, and technical decision-making.                                     |
 | {% data variables.copilot.copilot_claude_sonnet_40 %} | Improves on 3.7 with more reliable completions and smarter reasoning under pressure.                          |
-| {% data variables.copilot.copilot_claude_opus_41 %}   | Anthropic’s most powerful model. Improves on {% data variables.copilot.copilot_claude_opus %}.                |
-| {% data variables.copilot.copilot_gemini_25_pro %}    | Advanced reasoning across long contexts and scientific or technical analysis.                                 |
+| {% data variables.copilot.copilot_claude_opus_45 %}   | Anthropic’s most powerful model. Improves on {% data variables.copilot.copilot_claude_opus %}.                |
+| {% data variables.copilot.copilot_gemini_3_pro %}     | Advanced reasoning across long contexts and scientific or technical analysis.                                 |
 
 ### When to use these models
 
@@ -117,11 +117,11 @@ For general development workflows or content generation, see [General-purpose co
 
 Use these models when you want to ask questions about screenshots, diagrams, UI components, or other visual input. These models support multimodal input and are well suited for front-end work or visual debugging.
 
-| Model | Why it's a good fit |
-|-------|---------------------|
-| {% data variables.copilot.copilot_gpt_5_mini %} | Reliable default for most coding and writing tasks. Fast, accurate, and supports multimodal input for visual reasoning tasks. Works well across languages and frameworks. |
+| Model                                                 | Why it's a good fit |
+|-------------------------------------------------------|---------------------|
+| {% data variables.copilot.copilot_gpt_5_mini %}       | Reliable default for most coding and writing tasks. Fast, accurate, and supports multimodal input for visual reasoning tasks. Works well across languages and frameworks. |
 | {% data variables.copilot.copilot_claude_sonnet_40 %} | Improves on 3.7 with more reliable completions and smarter reasoning under pressure. |
-| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging, ideal for complex code generation, debugging, and research workflows. |
+| {% data variables.copilot.copilot_gemini_3_pro %}     | Deep reasoning and debugging, ideal for complex code generation, debugging, and research workflows. |
 
 ### When to use these models
 

content/copilot/reference/ai-models/supported-models.md

@@ -51,11 +51,11 @@ This table lists the AI models available in {% data variables.product.prodname_c
 
 ## Model retirement history
 
-The following table lists AI models that have been retired from {% data variables.product.prodname_copilot_short %}, along with their retirement dates and suggested alternatives.
+The following table lists AI models that are retired or scheduled for retirement from {% data variables.product.prodname_copilot_short %}, along with their retirement dates and suggested alternatives.
 
 {% rowheaders %}
 
-| Model name                                                  | Retired date                | Suggested alternative             |
+| Model name                                                  | Retirement date             | Suggested alternative             |
 |-------------------------------------------------------------|-----------------------------|-----------------------------------|
 | {% for model in tables.copilot.model-deprecation-history %} |
 | {{ model.name }}                                            | {{ model.retirement_date }} | {{ model.suggested_alternative }} |

content/copilot/tutorials/compare-ai-models.md

@@ -126,9 +126,9 @@ print(active_users_sorted)
 * {% data variables.copilot.copilot_gpt_5_mini %} is optimized for cost and speed, making it ideal for quick edits, prototyping, and utility code.
 * Use this model when you want reliable answers for simple coding questions without waiting for unnecessary depth.
 
-## {% data variables.copilot.copilot_gpt_5 %}
+## {% data variables.copilot.copilot_gpt_52 %}
 
-{% data reusables.copilot.model-use-cases.gpt-5 %}
+{% data reusables.copilot.model-use-cases.gpt-52 %}
 
 ### Example scenario
 
@@ -172,7 +172,7 @@ class Cart:
         return Order("", None, 0)
 ```
 
-### Why {% data variables.copilot.copilot_gpt_5 %} is a good fit
+### Why {% data variables.copilot.copilot_gpt_52 %} is a good fit
 
 * It can interpret visual assets, such as UML diagrams, wireframes, or flowcharts, to generate code scaffolding or suggest architecture.
 * It can be useful for reviewing screenshots of UI layouts or form designs and generating.

data/reusables/copilot/model-use-cases/gpt-5.md

@@ -0,0 +1 @@
+ {% data variables.copilot.copilot_gpt_52 %} supports image input so that developers can bring visual context into tasks like UI inspection, diagram analysis, or layout debugging. This makes {% data variables.copilot.copilot_gpt_52 %} particularly useful for scenarios where image-based input enhances problem-solving, such as asking {% data variables.product.prodname_copilot_short %} to analyze a UI screenshot for accessibility issues or to help understand a visual bug in a layout.

data/reusables/copilot/model-use-cases/gpt-52.md

@@ -11,6 +11,22 @@
 # - retirement_date: The official retirement date for the model (YYYY-MM-DD).
 # - suggested_alternative: The model recommended for migration.
 
+- name: 'Claude Opus 4.1'
+  retirement_date: '2026-02-17'
+  suggested_alternative: 'Claude Opus 4.5'
+
+- name: 'Gemini 2.5 Pro'
+  retirement_date: '2026-02-17'
+  suggested_alternative: 'Gemini 3 Pro'
+
+- name: 'GPT-5'
+  retirement_date: '2026-02-17'
+  suggested_alternative: 'GPT-5.2'
+
+- name: 'GPT-5-Codex'
+  retirement_date: '2026-02-17'
+  suggested_alternative: 'GPT-5.1-Codex'
+
 - name: 'Claude Sonnet 3.5'
   retirement_date: '2025-11-06'
   suggested_alternative: 'Claude Haiku 4.5'

data/tables/copilot/model-deprecation-history.yml

@@ -27,7 +27,7 @@
 
 - name: 'GPT-5'
   provider: 'OpenAI'
-  release_status: 'GA'
+  release_status: 'Closing down: 2026-02-17'
   agent_mode: true
   ask_mode: true
   edit_mode: true
@@ -41,7 +41,7 @@
 
 - name: 'GPT-5-Codex'
   provider: 'OpenAI'
-  release_status: 'Public preview'
+  release_status: 'Closing down: 2026-02-17'
   agent_mode: true
   ask_mode: true
   edit_mode: true
@@ -91,7 +91,7 @@
 
 - name: 'Claude Opus 4.1'
   provider: 'Anthropic'
-  release_status: 'GA'
+  release_status: 'Closing down: 2026-02-17'
   agent_mode: false
   ask_mode: true
   edit_mode: true
@@ -121,7 +121,7 @@
 
 - name: 'Gemini 2.5 Pro'
   provider: 'Google'
-  release_status: 'GA'
+  release_status: 'Closing down: 2026-02-17'
   agent_mode: true
   ask_mode: true
   edit_mode: true