Tented model 0017 (#60053)

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Anne-Marie <102995847+am-stead@users.noreply.github.com>

Author: 3 people

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

@@ -38,7 +38,7 @@ Use these models for common development tasks that require a balance of quality,
 
 | 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_53_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.                                        |
@@ -89,11 +89,11 @@ 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_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_gpt_54 %}           | Great at complex reasoning, code analysis, and technical decision-making.                                                                                       |
+| {% data variables.copilot.copilot_claude_sonnet_46 %} | Improves on Sonnet 4.5 with more reliable completions and smarter reasoning under pressure.                                                                     |
 | {% data variables.copilot.copilot_claude_opus_46 %}   | Anthropic’s most powerful model. Improves on {% data variables.copilot.copilot_claude_opus_45 %}.                                                               |
 | {% data variables.copilot.copilot_gemini_3_pro %}     | Advanced reasoning across long contexts and scientific or technical analysis.                                                                                   |
-| {% data variables.copilot.copilot_goldeneye %}     | Complex problem-solving challenges and sophisticated reasoning.                                                                                   |
+| {% data variables.copilot.copilot_goldeneye %}        | Complex problem-solving challenges and sophisticated reasoning.                                                                                                 |
 
 ### When to use these models
 
@@ -114,11 +114,11 @@ 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 |
-|-------------------------------------------------------|---------------------|
+| 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_3_pro %}     | Deep reasoning and debugging, ideal for complex code generation, debugging, and research workflows. |
+| {% data variables.copilot.copilot_claude_sonnet_46 %} | Improves on Sonnet 4.5 with more reliable completions and smarter reasoning under pressure.                                                                               |
+| {% 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/model-hosting.md

@@ -27,6 +27,7 @@ Used for:
 * {% data variables.copilot.copilot_gpt_52 %}
 * {% data variables.copilot.copilot_gpt_52_codex %}
 * {% data variables.copilot.copilot_gpt_53_codex %}
+* {% data variables.copilot.copilot_gpt_54 %}
 
 These models are hosted by OpenAI and {% data variables.product.github %}'s Azure infrastructure.
 

data/tables/copilot/model-comparison.yml

@@ -47,6 +47,16 @@
   excels_at: Agentic tasks
   further_reading: '[GPT-5.2-Codex model card](https://cdn.openai.com/pdf/ac7c37ae-7f4c-4442-b741-2eabdeaf77e0/oai_5_2_Codex.pdf)'
 
+- name: GPT-5.3-Codex
+  task_area: Agentic software development
+  excels_at: Agentic tasks
+  further_reading: '[GPT-5.3-Codex model card](https://deploymentsafety.openai.com/gpt-5-3-codex)'
+
+- name: GPT-5.4
+  task_area: Deep reasoning and debugging
+  excels_at: Multi-step problem solving and architecture-level code analysis
+  further_reading: 'Not available'
+
 # Anthropic
 - name: Claude Haiku 4.5
   task_area: Fast help with simple or repetitive tasks
@@ -78,6 +88,11 @@
   excels_at: Complex problem-solving challenges, sophisticated reasoning
   further_reading: '[Claude Sonnet 4.5 model card](https://assets.anthropic.com/m/12f214efcc2f457a/original/Claude-Sonnet-4-5-System-Card.pdf)'
 
+- name: Claude Sonnet 4.6
+  task_area: General-purpose coding and agent tasks
+  excels_at: Complex problem-solving challenges, sophisticated reasoning
+  further_reading: '[Claude Sonnet 4.6 model card](https://www-cdn.anthropic.com/78073f739564e986ff3e28522761a7a0b4484f84.pdf)'
+
 # Google
 - name: Gemini 2.5 Pro
   task_area: Deep reasoning and debugging

data/tables/copilot/model-multipliers.yml

@@ -93,6 +93,10 @@
   multiplier_paid: 1.0
   multiplier_free: Not applicable
 
+- name: GPT-5.4
+  multiplier_paid: 1.0
+  multiplier_free: Not applicable
+
 - name: Grok Code Fast 1
   multiplier_paid: 0.25
   multiplier_free: 1

data/tables/copilot/model-release-status.yml

@@ -81,6 +81,13 @@
   ask_mode: true
   edit_mode: true
 
+- name: 'GPT-5.4'
+  provider: 'OpenAI'
+  release_status: 'GA'
+  agent_mode: true
+  ask_mode: true
+  edit_mode: true
+
 # Anthropic models
 - name: 'Claude Haiku 4.5'
   provider: 'Anthropic'

data/tables/copilot/model-supported-clients.yml

@@ -173,6 +173,14 @@
   xcode: true
   jetbrains: true
 
+- name: GPT-5.4
+  dotcom: true
+  vscode: true
+  vs: true
+  eclipse: true
+  xcode: true
+  jetbrains: true
+
 - name: Grok Code Fast 1
   dotcom: true
   vscode: true

data/tables/copilot/model-supported-plans.yml

@@ -152,6 +152,13 @@
   business: true
   enterprise: true
 
+- name: GPT-5.4
+  free: false
+  pro: true
+  pro_plus: true
+  business: true
+  enterprise: true
+
 - name: Grok Code Fast 1
   free: true
   pro: true

data/variables/copilot.yml

@@ -173,6 +173,7 @@ copilot_gpt_51_codex_max: 'GPT-5.1-Codex-Max'
 copilot_gpt_52: 'GPT-5.2'
 copilot_gpt_52_codex: 'GPT-5.2-Codex'
 copilot_gpt_53_codex: 'GPT-5.3-Codex'
+copilot_gpt_54: 'GPT-5.4'
 # OpenAI 'o' series:
 copilot_o3: 'o3'
 copilot_o4_mini: 'o4-mini'