Microsoft Azure OpenAI Service Launches Advanced AI Reasoning Models o3 and o4-mini
Microsoft announces the release of o3 and o4-mini, the latest AI reasoning models on Azure OpenAI Service, offering enhanced quality, safety, and performance.
Microsoft has announced the availability of o3 and o4-mini, the latest iterations in its o-series of AI reasoning models, now accessible via the Microsoft Azure OpenAI Service and GitHub. These models mark a significant advancement in AI reasoning, delivering improved quality, safety, and performance.
Key Features and Enhancements
- Multiple APIs Support: Both models are compatible with Responses API and Chat Completions API, enabling seamless integration with various tools.
- Reasoning Summary: The Responses API now includes a reasoning summary in the output, enhancing transparency and explainability.
- Multimodality: Enhanced vision analysis capabilities in o3 and new vision support in o4-mini allow for processing visual data and generating comprehensive text outputs.
- Full Tools Support: Both models support parallel tool calling, enabling the development of advanced agentic solutions.
Safety Innovations
The o-series models employ deliberative alignment, a training strategy that ensures models reason explicitly about safety specifications before responding. o3 and o4-mini incorporate the latest safety improvements, reinforcing their reliability for enterprise use.
New Audio Models
Azure OpenAI Service has also introduced three new audio models:
- GPT-4o-Transcribe and GPT-4o-Mini-Transcribe: Advanced speech-to-text models outperforming previous benchmarks.
- GPT-4o-Mini-TTS: A customizable text-to-speech model allowing detailed control over speech characteristics. Learn more on the Tech Community blog.
A New Era in AI Reasoning
With o3 and o4-mini, Microsoft is ushering in a new era of AI reasoning, enabling businesses to tackle complex problems and innovate with confidence. Sign up to use o3 and o4-mini in Azure AI Foundry today.
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About the Author

Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.