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sunbryecrwaters16Copilot
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08-05-25 Tented model (#56985)
Co-authored-by: Claire W <[email protected]> Co-authored-by: Copilot <[email protected]>
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‎content/copilot/concepts/billing/copilot-requests.md

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@@ -94,19 +94,20 @@ If you use **{% data variables.copilot.copilot_free_short %}**, you have access
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{% rowheaders %}
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| Model | Multiplier for **paid plans** | Multiplier for **{% data variables.copilot.copilot_free_short %}** |
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|-------------------------------------------------------------------------|--------------------------------|-----------------------|
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| {% data variables.copilot.copilot_gpt_41 %} | 0 | 1 |
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| {% data variables.copilot.copilot_gpt_4o %} | 0 | 1 |
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| {% data variables.copilot.copilot_claude_sonnet_35 %} | 1 | 1 |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} Thinking | 1.25 | Not applicable |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_claude_opus %} | 10 | Not applicable |
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| {% data variables.copilot.copilot_gemini_flash %} | 0.25 | 1 |
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| {% data variables.copilot.copilot_gemini_25_pro %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_o3 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_o4_mini %} | 0.33 | Not applicable |
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| Model | Multiplier for **paid plans** | Multiplier for **{% data variables.copilot.copilot_free_short %}** |
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|----------------------------------------------------------------|--------------------------------|-----------------------|
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| {% data variables.copilot.copilot_gpt_41 %} | 0 | 1 |
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| {% data variables.copilot.copilot_gpt_4o %} | 0 | 1 |
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| {% data variables.copilot.copilot_claude_sonnet_35 %} | 1 | 1 |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} Thinking | 1.25 | Not applicable |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_claude_opus_41 %} | 10 | Not applicable |
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| {% data variables.copilot.copilot_claude_opus %} | 10 | Not applicable |
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| {% data variables.copilot.copilot_gemini_flash %} | 0.25 | 1 |
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| {% data variables.copilot.copilot_gemini_25_pro %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_o3 %} | 1 | Not applicable |
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| {% data variables.copilot.copilot_o4_mini %} | 0.33 | Not applicable |
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{% endrowheaders %}
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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 |
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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 |
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| {% data variables.copilot.copilot_gpt_4o %} | General-purpose coding and writing | Fast completions and visual input understanding | Agent mode, vision |
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| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning |
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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 |
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| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision |
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| Model | Task area | Excels at (primary use case) | Additional capabilities |
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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 |
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| {% data variables.copilot.copilot_gpt_4o %} | General-purpose coding and writing | Fast completions and visual input understanding | Agent mode, vision |
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| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning |
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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 |
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| {% data variables.copilot.copilot_claude_opus_41 %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision |
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| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision |
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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 |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision |
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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 |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision |
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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 |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision |
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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 |
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## Task: General-purpose coding and writing
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### Recommended models
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| Model | Why it's a good fit |
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|-------|---------------------|
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| {% data variables.copilot.copilot_o3 %} | Strong at algorithm design, system debugging, and architecture decisions. Balances performance and reasoning. |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | Provides hybrid reasoning that adapts to both fast tasks and deeper thinking. |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | Improves on 3.7 with more reliable completions and smarter reasoning under pressure. |
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| {% data variables.copilot.copilot_claude_opus %} | Anthropic’s most powerful model. Strong at strategy, debugging, and multi-layered logic. |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Advanced reasoning across long contexts and scientific or technical analysis. |
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| Model | Why it's a good fit |
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|-------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|
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| {% data variables.copilot.copilot_o3 %} | Strong at algorithm design, system debugging, and architecture decisions. Balances performance and reasoning. |
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| {% data variables.copilot.copilot_claude_sonnet_37 %} | Provides hybrid reasoning that adapts to both fast tasks and deeper thinking. |
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| {% data variables.copilot.copilot_claude_sonnet_40 %} | Improves on 3.7 with more reliable completions and smarter reasoning under pressure. |
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| {% data variables.copilot.copilot_claude_opus_41 %} | Anthropic’s most powerful model. Improves on {% data variables.copilot.copilot_claude_opus %}. |
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| {% data variables.copilot.copilot_claude_opus %} | Strong at strategy, debugging, and multi-layered logic. |
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| {% data variables.copilot.copilot_gemini_25_pro %} | Advanced reasoning across long contexts and scientific or technical analysis. |
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### When to use these models
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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_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 %} 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_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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* 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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