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sunbryeCopilot
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Copilot
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Tented model 001 (#57729)
Co-authored-by: Copilot <[email protected]>
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‎content/copilot/concepts/agents/about-copilot-cli.md‎

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## Model usage
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> [!NOTE]
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> {% data variables.copilot.copilot_claude_sonnet_45 %} is available in {% data variables.copilot.copilot_cli %} version 0.0.329 and later.
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The default model used by {% data variables.copilot.copilot_cli %} is {% data variables.copilot.cca_current_model %}. {% data variables.product.github %} reserves the right to change this model.
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You can change the model to {% data variables.copilot.copilot_gpt_5 %} by setting the `COPILOT_MODEL` environment variable to `gpt-5`.
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You can change the model by setting the `COPILOT_MODEL` environment variable to one of the supported values. For example, change the model to {% data variables.copilot.copilot_gpt_5 %} by setting `COPILOT_MODEL` to `gpt-5`.
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{% rowheaders %}
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| Model name | `COPILOT_MODEL` value |
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|------------------------------------------------------------------|-----------------------|
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| {% data variables.copilot.cca_current_model %} | `claude-sonnet-4` |
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| {% data variables.copilot.copilot_claude_sonnet_45 %} | `claude-sonnet-4.5` |
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| {% data variables.copilot.copilot_gpt_5 %} | `gpt-5` |
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{% endrowheaders %}
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Each time you submit a prompt to {% data variables.product.prodname_copilot_short %} in {% data variables.copilot.copilot_cli_short %}'s interactive mode, and each time you use {% data variables.copilot.copilot_cli_short %} in programmatic mode, your monthly quota of {% data variables.product.prodname_copilot_short %} premium requests is reduced by one. For information about premium requests, see [AUTOTITLE](/copilot/managing-copilot/monitoring-usage-and-entitlements/about-premium-requests).
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‎content/copilot/concepts/agents/coding-agent/about-coding-agent.md‎

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* **{% data variables.copilot.copilot_coding_agent %} only works with repositories hosted on {% data variables.product.github %}**. If your repository is stored using a different code hosting platform, {% data variables.product.prodname_copilot_short %} won't be able to work on it.
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* **You cannot change the AI model used by {% data variables.copilot.copilot_coding_agent %}**. The model is determined by {% data variables.product.company_short %} and does not inherit the model selected for {% data variables.copilot.copilot_chat %}.
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Currently the model used by {% data variables.copilot.copilot_coding_agent %} is {% data variables.copilot.cca_current_model %}. {% data variables.product.github %} reserves the right to change this model.
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If you are a {% data variables.copilot.copilot_business_short %} or {% data variables.copilot.copilot_enterprise_short %} user, {% data variables.copilot.copilot_coding_agent %} uses the {% data variables.copilot.cca_current_model %} model. If you are a {% data variables.copilot.copilot_pro_short %} or {% data variables.copilot.copilot_pro_plus_short %} user, {% data variables.copilot.copilot_coding_agent %} uses the {% data variables.copilot.copilot_claude_sonnet_45 %} model. {% data variables.product.github %} reserves the right to change this model.
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> [!NOTE]
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> {% data variables.copilot.copilot_claude_sonnet_45 %} is in {% data variables.release-phases.public_preview %} and subject to change.
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## Hands-on practice
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‎content/copilot/reference/ai-models/model-comparison.md‎

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Use this table to find a suitable model quickly, see more detail in the sections below.
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| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
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|-------------------------------------------------------|-----------|-------------------------------|-------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| {% data variables.copilot.copilot_gpt_41 %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/) |
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| {% data variables.copilot.copilot_gpt_5_codex %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_gpt_5_codex %} model card](https://cdn.openai.com/pdf/97cc5669-7a25-4e63-b15f-5fd5bdc4d149/gpt-5-codex-system-card.pdf) |
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| {% data variables.copilot.copilot_gpt_5_mini %} | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning, vision | Not available |
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| {% data variables.copilot.copilot_gpt_5 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/pdf/8124a3ce-ab78-4f06-96eb-49ea29ffb52f/gpt5-system-card-aug7.pdf) |
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| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
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| {% data variables.copilot.copilot_o4_mini %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
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| {% data variables.copilot.copilot_claude_opus_41 %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
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| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
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| {% data variables.copilot.copilot_gemini_flash %} | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
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| {% data variables.copilot.copilot_grok_code %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf) |
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| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
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|--------------------------------------------------------|----------------------------------------------|-------------------------------------------------------------------------|-------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| {% data variables.copilot.copilot_gpt_41 %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/) |
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| {% data variables.copilot.copilot_gpt_5_codex %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_gpt_5_codex %} model card](https://cdn.openai.com/pdf/97cc5669-7a25-4e63-b15f-5fd5bdc4d149/gpt-5-codex-system-card.pdf) |
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| {% data variables.copilot.copilot_gpt_5_mini %} | Deep reasoning and debugging | Well-defined tasks and precise prompts | Reasoning, vision | Not available |
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| {% data variables.copilot.copilot_gpt_5 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/pdf/8124a3ce-ab78-4f06-96eb-49ea29ffb52f/gpt5-system-card-aug7.pdf) |
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| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
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| {% data variables.copilot.copilot_o4_mini %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
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| {% data variables.copilot.copilot_claude_sonnet_45 %} | General-purpose coding and agent tasks | Complex problem-solving challenges, sophisticated reasoning | Agent mode | Not available |
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| {% data variables.copilot.copilot_claude_opus_41 %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
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| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
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| {% data variables.copilot.copilot_gemini_flash %} | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
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| {% data variables.copilot.copilot_grok_code %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf) |
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## Task: General-purpose coding and writing
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‎content/copilot/reference/ai-models/model-hosting.md‎

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Used for:
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* {% data variables.copilot.copilot_claude_sonnet_45 %}
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* {% data variables.copilot.copilot_claude_opus_41 %}
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* {% data variables.copilot.copilot_claude_opus %}
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* {% data variables.copilot.copilot_claude_sonnet_35 %}
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* {% data variables.copilot.copilot_claude_sonnet_37 %}
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* {% data variables.copilot.copilot_claude_sonnet_37 %} Thinking
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* {% data variables.copilot.copilot_claude_sonnet_40 %}
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{% data variables.copilot.copilot_claude_opus_41 %} is hosted by Anthropic PBC. {% data variables.copilot.copilot_claude_opus %} and {% data variables.copilot.copilot_claude_sonnet_40 %} are hosted by Anthropic PBC and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_37 %} is hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_35 %} is hosted exclusively by Amazon Web Services. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
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{% data variables.copilot.copilot_claude_opus_41 %} is hosted by Anthropic PBC. {% data variables.copilot.copilot_claude_opus %} and {% data variables.copilot.copilot_claude_sonnet_40 %} are hosted by Anthropic PBC and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_45 %} and {% data variables.copilot.copilot_claude_sonnet_37 %} are hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_35 %} is hosted exclusively by Amazon Web Services. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
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* Amazon Bedrock: Amazon makes the [following data commitments](https://docs.aws.amazon.com/bedrock/latest/userguide/data-protection.html): _Amazon Bedrock doesn't store or log your prompts and completions. Amazon Bedrock doesn't use your prompts and completions to train any AWS models and doesn't distribute them to third parties_.
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* Anthropic PBC: {% data variables.product.github %} maintains a [zero data retention agreement](https://privacy.anthropic.com/en/articles/8956058-i-have-a-zero-retention-agreement-with-anthropic-what-products-does-it-apply-to) with Anthropic.

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