Next-generation AI models and agents with OpenAI
OpenAI's GPT-4o, o-series reasoning models, and Codex agents enable intelligent applications across chat, code generation, document analysis, and autonomous task execution.
Key highlights
Why OpenAI's models power the world's most advanced AI applications.
Industry-leading safety
GPT-4o is OpenAI's most advanced multimodal model, capable of reasoning across text, images, and audio. The o-series (o1, o3) models excel at complex reasoning, mathematics, and coding tasks with chain-of-thought processing.
Massive context window
GPT-4o supports 128K tokens of context, while Codex agents can autonomously navigate large codebases, edit files, run tests, and execute multi-step software engineering tasks through tool use and sandboxed execution.
Tool use & structured output
OpenAI's API supports function calling, structured JSON output, and streaming. Codex agents can autonomously plan, code, test, and debug — making them ideal for software engineering automation and complex multi-step reasoning tasks.
OpenAI across the enterprise
How organizations use GPT-4o and Codex to transform their workflows.
Document analysis and summarization.
GPT-4o's 128K token context window can ingest entire legal contracts, research papers, or technical documentation in a single request. Extract key terms, summarize findings, identify risks, and generate structured reports automatically.
Code generation and review.
GPT-4o and Codex agents excel at understanding and generating code across languages. Codex goes further — it can autonomously navigate repositories, plan changes, write tests, and execute multi-step development tasks in a sandboxed environment.
Customer-facing AI chat.
OpenAI's models power some of the world's largest customer-facing AI applications. With Azure OpenAI integration, you get enterprise-grade compliance, data residency, and content safety — making GPT-4o suitable for regulated industries.
Available on Azure and direct API.
OpenAI models are available through both the direct OpenAI API and Azure OpenAI Service. Azure provides additional enterprise features — private networking, RBAC, content safety, and SLA-backed availability with regional deployment.
Why we recommend OpenAI
GPT-4o, o-series reasoning models, and Codex agents for every AI use case.
OpenAI's model lineup is the most comprehensive in the industry. GPT-4o handles text, images, and audio in a single unified model. The o-series (o1, o3) delivers breakthrough reasoning for complex math, science, and coding. Codex agents autonomously plan, code, test, and iterate on software engineering tasks. Together, they cover the full spectrum of AI capabilities — from simple chat to autonomous software development.
We recommend OpenAI when you need the broadest capability set and the deepest ecosystem. GPT-4o's native multimodal support means your application can understand screenshots, process voice input, and analyze video frames alongside text — all through a single API call. For applications that need to see, hear, and reason simultaneously, this is a game-changer.
OpenAI's function calling, structured output, and Codex agent capabilities make it easy to build production AI applications. The API supports streaming, structured JSON mode, parallel function calling, and real-time audio. Codex agents extend this into autonomous software engineering — they can navigate codebases, plan changes, write code, run tests, and debug issues independently.
For enterprise deployment, Azure OpenAI Service provides the same models with private networking, managed identities, RBAC, content safety filters, and SLA-backed availability across global regions. The OpenAI ecosystem has the largest collection of tools, SDKs, and third-party integrations in the AI industry — from LangChain and Semantic Kernel to custom fine-tuning and continuous evaluation pipelines.
Where OpenAI fits in the stack
Understanding the architectural role of OpenAI models in your AI stack.
Multimodal AI applications
GPT-4o's native vision, audio, and text understanding lets you build applications that analyze images, process voice, and understand video frames — all through a single API. Perfect for document processing, visual Q&A, and voice-enabled interfaces without multiple specialized models.
Autonomous code generation with Codex
Codex agents go beyond code completion — they can plan, implement, test, and debug entire features autonomously. Use Codex for automated bug fixing, test generation, code migration, and maintaining code quality at scale across your entire repository.
Complex reasoning with o-series models
OpenAI's o1 and o3 reasoning models think step-by-step before responding, making them ideal for complex mathematics, scientific analysis, legal reasoning, and multi-step problem solving. Use them when you need deep reasoning rather than fast, intuitive responses.
Enterprise deployment on Azure
Azure OpenAI Service provides the same GPT-4o, o-series, and Codex models with enterprise-grade infrastructure — private networking, managed identities, data residency, content safety, and SLA-backed availability. Deploy globally with regional capacity management.
How to choose the right OpenAI model for the job
Guidance on which OpenAI model fits your use case — and when alternatives might be better.
When to choose OpenAI / Codex
A decision framework for project leaders.
Ideal for
- General-purpose AI applications with multimodal needs
- Complex reasoning and problem-solving with o-series models
- Autonomous code generation and software engineering with Codex
- Enterprise deployment via Azure OpenAI Service
- Teams wanting the broadest model ecosystem and tooling
Less suited for
- Applications requiring fully self-hosted AI inference
- Use cases where safety-first constitutional AI is preferred
- Teams already deeply integrated with a different AI provider
- Very specialized domains requiring fine-tuned niche models
Ready to build with OpenAI?
Let's explore how GPT-4o, o-series models, and Codex agents can power your next application.
Get in touch