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Copy file name to clipboardExpand all lines: content/copilot/managing-copilot/managing-copilot-for-your-enterprise/managing-policies-and-features-for-copilot-in-your-enterprise.md
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***{% data variables.copilot.copilot_claude_sonnet %}**. See [AUTOTITLE](/copilot/using-github-copilot/ai-models/using-claude-sonnet-in-github-copilot).
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***{% data variables.copilot.copilot_gemini %}**. See [AUTOTITLE](/copilot/using-github-copilot/ai-models/using-gemini-in-github-copilot).
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***OpenAI's models:**
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***o1**: This model is focused on advanced reasoning and solving complex problems, in particular in math and science. It responds more slowly than the GPT-4o model. Each member of your enterprise can make 10 requests to this model per day.
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***o3-mini**: This is the next generation of reasoning models, following from o1 and o1-mini. The o3-mini model outperforms o1 on coding benchmarks with response times that are comparable to o1-mini, providing improved quality at nearly the same latency. It is best suited for code generation and small context operations. Each member of your enterprise can make 50 requests to this model every 12 hours. {% ifversion copilot-enterprise %}
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***GPT-4.5**: This model is designed with advanced capabilities in intuition, writing style, and broad knowledge. It performs effectively with creative prompts and provides reliable responses to obscure knowledge queries. Each member of your enterprise can make 10 requests to this model every 12 hours. {% endif %}
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***OpenAI's models:** See [AUTOTITLE](/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task#gpt-45).
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### {% data variables.product.prodname_copilot_short %} Metrics API access
Copy file name to clipboardExpand all lines: content/copilot/managing-copilot/managing-github-copilot-in-your-organization/managing-policies-for-copilot-in-your-organization.md
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* Access to alternative models for {% data variables.product.prodname_copilot_short %}
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* Anthropic {% data variables.copilot.copilot_claude_sonnet %} in {% data variables.product.prodname_copilot_short %}
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* Google {% data variables.copilot.copilot_gemini %} in {% data variables.product.prodname_copilot_short %}
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* OpenAI o1 and o3 models in {% data variables.product.prodname_copilot_short %}
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* OpenAI models in {% data variables.product.prodname_copilot_short %}
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The policy settings selected by an organization owner determine the behavior of {% data variables.product.prodname_copilot %} for all organization members that have been granted access to {% data variables.product.prodname_copilot_short %} through the organization.
Copy file name to clipboardExpand all lines: content/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task.md
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The best model depends on your use case:
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* For **balance between cost and performance**, try GPT-4o or {% data variables.copilot.copilot_claude_sonnet_35 %}.
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* For **balance between cost and performance**, try {% data variables.copilot.copilot_gpt_41 %} or {% data variables.copilot.copilot_claude_sonnet_37 %}.
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* For **fast, low-cost support for basic tasks**, try o3-mini or {% data variables.copilot.copilot_claude_sonnet_35 %}.
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* For **deep reasoning or complex coding challenges**, try o1, GPT-4.5, or {% data variables.copilot.copilot_claude_sonnet_37 %}.
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* For **multimodal inputs and real-time performance**, try {% data variables.copilot.copilot_gemini_flash %} or GPT-4o.
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You can click a model name in the list below to jump to a detailed overview of its strengths and use cases.
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*[GPT-4o](#gpt-4o)
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*[{% data variables.copilot.copilot_gpt_41 %}](#gpt-41)
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*[GPT-4.5](#gpt-45)
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*[o1](#o1)
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*[o3-mini](#o3-mini)
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{% endrowheaders %}
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## {% data variables.copilot.copilot_gpt_41 %}
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OpenAI’s latest model, {% data variables.copilot.copilot_gpt_41 %}, is now available in {% data variables.product.prodname_copilot %} and {% data variables.product.prodname_github_models %}, bringing OpenAI’s newest model to your coding workflow. This model outperforms GPT-4o across the board, with major gains in coding, instruction following, and long-context understanding. It has a larger context window and features a refreshed knowledge cutoff of June 2024.
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OpenAI has optimized {% data variables.copilot.copilot_gpt_41 %} for real-world use based on direct developer feedback about: frontend coding, making fewer extraneous edits, following formats reliably, adhering to response structure and ordering, consistent tool usage, and more. This model is a strong default choice for common development tasks that benefit from speed, responsiveness, and general-purpose reasoning.
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### Use cases
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{% data reusables.copilot.model-use-cases.gpt-41 %}
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### Strengths
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The following table summarizes the strengths of {% data variables.copilot.copilot_gpt_41 %}:
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{% rowheaders %}
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| Task | Description | Why {% data variables.copilot.copilot_gpt_41 %} is a good fit |
| Multi-step reasoning or algorithms | Design complex logic or break down multi-step problems. | GPT-4.5 or {% data variables.copilot.copilot_claude_sonnet_37 %} provide better step-by-step thinking. |
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| Complex refactoring | Refactor large codebases or update multiple interdependent files. | GPT-4.5 handles context and code dependencies more robustly. |
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| System review or architecture | Analyze structure, patterns, or architectural decisions in depth. | {% data variables.copilot.copilot_claude_sonnet_37 %} or GPT-4.5 offer deeper analysis. |
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## GPT-4.5
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OpenAI GPT-4.5 improves reasoning, reliability, and contextual understanding. It works well for development tasks that involve complex logic, high-quality code generation, or interpreting nuanced intent.
{% data variables.copilot.copilot_gpt_41 %} is a revamped version of OpenAI's GPT-4o model. This model is a strong default choice for common development tasks that benefit from speed, responsiveness, and general-purpose reasoning. If you're working on tasks that require broad knowledge, fast iteration, or basic code understanding, {% data variables.copilot.copilot_gpt_41 %} makes large improvements over GPT-4o.
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