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We are pleased to announce that OpenAI o3-mini is now available in Microsoft Azure OpenAI Service. o3-mini adds significant cost efficiencies compared with o1-mini with enhanced reasoning, with new features like reasoning effort control and tools, while providing comparable or better responsiveness.

o3-mini’s advanced capabilities, combined with its efficiency gains, make it a powerful tool for developers and enterprises looking to optimize their AI applications.

With faster performance and lower latency, o3-mini is designed to handle complex reasoning workloads while maintaining efficiency.

New features of o3-mini

As the evolution of OpenAI o1-mini, o3-mini introduces several key features that enhance AI reasoning and customization:

  • Reasoning effort parameter: Allows users to adjust the model’s cognitive load with low, medium, and high reasoning levels, providing greater control over the response and latency. 
  • Structured outputs: The model now supports JSON Schema constraints, making it easier to generate well-defined, structured outputs for automated workflows.
  • Functions and Tools support: Like previous models, o3-mini seamlessly integrates with functions and external tools, making it ideal for AI-powered automation. 
  • Developer messages: The “role”: “developer” attribute replaces the system message in previous models, offering more flexible and structured instruction handling.
  • System message compatibility: Azure OpenAI Service maps the legacy system message to developer message to ensure seamless backward compatibility.
  • Continued strength on coding, math, and scientific reasoning: o3-mini further enhances its capabilities in coding, mathematics, and scientific reasoning, ensuring high performance in these critical areas. 

With these improvements in speed, control, and cost-efficiency, o3-mini is optimized for enterprise AI solutions, enabling businesses to scale their AI applications efficiently while maintaining precision and reliability. 

From o1-mini to o3-mini: What’s changed? 

o3-mini is the latest reasoning model released, with notable differences compared with the o1 model released last September. While both models share strengths in reasoning, o3-mini adds new capabilities like structured outputs and functions and tools, resulting in a production-ready model with significant improvements in cost efficiencies. 

Feature comparison: o3-mini versus o1-mini

Featureo1-minio3-mini
Reasoning Effort ControlNoYes (low, medium, high)
Developer MessagesNoYes
Structured OutputsNoYes
Functions/Tools SupportNoYes
Vision SupportNoNo

Watch o3-mini in action, helping with banking fraud, in the demo below:

And watch this o3-mini demo for financial analysis:

Join us on this journey

We invite you to explore the capabilities of o3-mini and see how it can transform your AI applications. With Azure OpenAI Service, you get access to the latest AI innovations, enterprise-grade security, and global compliance, and data remains private and secure.

Learn more about OpenAI o3-mini in GitHub Copilot and GitHub Models here.

Get started today! Sign up in Azure AI Foundry to access o3-mini and other advanced AI models.

Yina Arenas

Yina Arenas posts

Yina ArenasCorporate VP, Microsoft Foundryempowers developers to integrate AI into every application. She leads the Azure OpenAI in Foundry Models, the Azure AI Model Ecosystem, the AI Agent Runtime, and the end-to-end tool chain, delivering a diverse range of cutting-edge models, tools, and services that prioritize transparency, explainability, and alignment with industry regulations. Yina’s focus on enterprise readiness ensures that Microsoft’s AI solutions meet the complex needs of customers globally. With extensive experience in building platforms and developer ecosystems, Yina has played a pivotal role in driving innovations that power millions of applications, reaching nearly a billion customers.

See Yina Arenas posts

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