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Today, we’re saying normal availability of OpenAI’s new flagship, GPT-5, in Azure AI Foundry. This is greater than a brand new mannequin launch; it is probably the most highly effective giant language mannequin (LLM) ever launched throughout key benchmarks.
For enterprise leaders constructing with AI, the dialog has moved past chat. The bar is increased: can your AI generate, cause, and ship measurable outcomes—safely and at scale?
Today, we’re saying normal availability of OpenAI’s new flagship mannequin, GPT-5, in Azure AI Foundry. This is greater than a brand new mannequin launch; it is probably the most highly effective LLM ever launched throughout key benchmarks. GPT-5 in Azure AI Foundry pairs frontier reasoning with high-performance technology and price effectivity, delivered on Microsoft Azure’s enterprise-grade platform so organizations can transfer from pilots to manufacturing with confidence.
GPT-5 in Azure AI Foundry: Built for real-world workloads
In Azure AI Foundry, the GPT-5 fashions can be found through API and orchestrated by themodel router. The GPT-5 sequence spans complementary strengths:
- GPT-5, a full reasoning mannequin offers deep, richer reasoning for analytics and complicated duties, like code technology, with a 272k token context.
- GPT-5 mini powers real-time experiences for apps and brokers that require reasoning, instrument calling to unravel buyer issues.
- GPT-5 nano is a brand new class of reasoning mannequin which focuses on ultra-low-latency and pace with wealthy Q&A capabilities.
- GPT-5 chat allows pure, multimodal, multi-turn conversations that stay context-aware all through agentic workflows, with 128k token context.
Together, the suite delivers a seamless continuum from rigorous agentic coding duties, to comparatively easy Q&A—all delivered with the identical Azure AI Foundry endpoint utilizing mannequin router in Foundry Models.
Under the hood, GPT-5 unifies superior reasoning, code technology, and pure language interplay. It combines analytical depth with intuitive dialogue to unravel end-to-end issues and clarify its method. Agentic capabilities permit multi-step instrument use and lengthy motion chains with clear, auditable choices. As a frontier-level coding mannequin, GPT-5 can plan advanced agentic workflow, construct migrations, and refactor code, in addition to produce exams and documentation with clear rationale. Developer controls—together with parameters like reasoning_effort and verbosity—let groups tune depth, pace, and element, whereas new freeform tool-calling options allow broadens instrument compatibility with out inflexible schemas.
Orchestrate with the mannequin router—then scale with brokers
Introducing GPT-5 to Azure AI Foundry is greater than a mannequin drop: it’s a leap ahead for the platform. Starting at the moment, builders can use the mannequin router in Foundry Models to maximise the capabilities of the GPT-5 household fashions (and different fashions in Foundry Models) whereas saving as much as 60% on inferencing price with no loss in constancy. Powered by a fine-tuned SLM beneath the hood, the mannequin router evaluates every immediate and decides the optimum mannequin based mostly on the complexity, efficiency wants, and price effectivity of every job. Let the mannequin router choose the fitting mannequin in an effort to construct your AI-powered functions with ease.
And orchestration doesn’t cease at routing—Foundry carries the identical intelligence into brokers. Coming quickly, GPT-5 shall be accessible within the Foundry Agent Service, pairing frontier fashions with built-in instruments together with new browser automation and Model Context Protocol (MCP) integrations. The outcome: policy-governed, tool-using brokers that may search, act in net apps, and full end-to-end duties—instrumented with Foundry telemetry and aligned to Microsoft Responsible AI.
Accelerating enterprise affect with GPT-5
These capabilities map on to enterprise affect.
In analysis and data work, GPT-5 accelerates monetary and authorized evaluation, market intelligence, and due diligence—studying at scale and producing decision-ready output with traceability. In operations and decisioning, it strengthens logistics help, danger evaluation, and claims processing by pairing sturdy reasoning with coverage adherence. Copilots and buyer expertise groups profit from multi-turn, multimodal brokers that cause in actual time, name instruments, resolve duties, and revert to people with extra useful context.
In software program engineering, GPT-5 excels at code technology, utility modernization, and high quality engineering—enhancing code fashion and explanations to compress evaluation cycles.
And to be used circumstances that are price or latency delicate, GPT-5-nano’s extremely‑low‑latency structure delivers fast, excessive‑accuracy responses, making it the best goal for high quality‑tuning and the go‑to mannequin for top‑quantity, easy requests.
GPT-5 buyer highlight
Customers are unleashing GPT-5 throughout advanced, mission-critical workloads—accelerating decision-making, supercharging coding, and catalyzing product innovation.
SAP
SAP is happy to be among the many first to leverage the ability of GPT-5 in Azure AI Foundry inside our generative AI hub in AI Foundation. GPT-5 in Azure AI Foundry will allow our product group and our developer group to ship impactful enterprise improvements to our prospects.
—Dr. Walter Sun, SVP and Global Head of AI, SAP SE
Relativity
The GPT-5 in Azure AI Foundry raises the bar for placing authorized information intelligence into motion… This next-generation AI will empower authorized groups to uncover deeper insights, speed up decision-making, and drive stronger methods throughout the complete authorized course of.
—Dr. Aron Ahmadia, Senior Director, Applied Science, Relativity
Hebbia
The partnership between Hebbia and Azure AI Foundry offers monetary professionals an unprecedented edge. With GPT-5’s superior reasoning in Hebbia, they will pinpoint crucial figures throughout 1000’s of paperwork and structuring advanced monetary evaluation with pace and accuracy.
—Danny Wheller, VP of Business and Strategy
Building with AI in GitHub Copilot and Visual Studio Code
GPT-5 begins rolling out at the moment to thousands and thousands of builders utilizing GitHub Copilot and Visual Studio Code, making use of the flagship mannequin’s superior reasoning capabilities to more and more advanced issues—from refined refactoring to navigating giant codebases extra successfully. GPT-5 helps builders write, check, and deploy code sooner, whereas supporting agentic coding duties with vital enhancements to coding fashion and general code high quality. With GPT-5, builders not solely code sooner, however code higher.
With at the moment’s VS Code launch, builders additionally achieve a extra highly effective agentic coding expertise immediately throughout the editor: GitHub Copilot’s coding agent has an improved expertise for autonomously tackling duties within the background. Additionally, the GitHub Copilot chat expertise brings elevated productiveness, together with help past 128 instruments for a single chat request and chat checkpoints permitting customers to revive workspace modifications to a previous level. Today, we’re additionally saying an up to date extension to develop brokers utilizing the Azure AI Foundry extension all inside VS Code atmosphere.
These bulletins prolong Microsoft’s technique to remodel software program growth with AI, bringing superior AI capabilities to the complete software program lifecycle.
Security, security, and governance by design
In all domains, safety and security is a layer cake of protections, which collectively present safety for danger eventualities—and AI is not any totally different. For AI, we take into consideration layers with the mannequin because the core. With GPT-5, the core is safer than earlier than:
The Microsoft AI Red Team discovered GPT-5 to have one of many strongest security profiles of any OpenAI mannequin, acting on par with—or higher than—o3.
—Dr. Sarah Bird, Chief Product Officer of Responsible AI, Microsoft
As we take into consideration the protection, safety, and governance layers round this core—Azure AI Foundry offers numerous further controls:
- Azure AI Content Safety protections are utilized to each immediate and completion, corresponding to immediate shields, which assist to detect and mitigate prompt-injection makes an attempt earlier than they attain the mannequin.
- Built-in agent evaluators work with the AI Red Teaming Agent to run alignment, bias, and safety exams all through growth and manufacturing, whereas steady analysis streams real-time metrics—latency, high quality, security, and equity—stream into Azure Monitor and Application Insights for single-pane visibility.
- Finally, safety alerts combine immediately with Microsoft Defender for Cloud, and runtime metadata and analysis outcomes are built-in to Microsoft Purview for audit, data-loss prevention, and regulatory reporting, extending safety and governance throughout the complete GPT-5 lifecycle.
Bringing AI into each workflow with GitHub Copilot and Visual Studio Code
Starting at the moment, GPT-5 begins rolling out to thousands and thousands of builders who use GitHub Copilot and Visual Studio Code who will have the ability to choose GPT-5 to put in writing, check, and deploy code—and develop brokers utilizing the Azure AI Foundry extension all inside VS Code atmosphere. GPT-5 helps advanced agentic coding duties with vital enhancements to coding persona, front-end aesthetics, and code high quality, extremely desired enhancements for the developer group.
Our evaluations present OpenAI GPT-5’s reasoning capabilities and contextual consciousness exceed o3, enabling builders to deal with extra advanced issues—from refactoring to navigating giant codebases. With GPT-5, customers within the Visual Studio household can’t solely code sooner, however code higher.
VS Code and our current choice to open-source GitHub Copilot, represents our dedication to open instruments and requirements and demonstrates our capacity to fulfill the fast tempo of mannequin improvements whereas maintaining the developer expertise on the forefront. In at the moment’s launch of VS Code, builders can. In at the moment’s VS Code launch, builders have much more management over their expertise in chat—with enhancements to the reliability of terminal instruments, updates to the instrument picker and limits, new checkpoints, and extra.
Today’s announcement extends Microsoft’s technique to remodel software program growth with AI, bringing superior AI capabilities to the complete software program lifecycle.
Start constructing at the moment
GPT-5 is offered through our Standard providing in Azure AI Foundry, with deployment selections optimized for cost-efficiency and governance wants, together with Global and Data Zone (United States, European Union) deployment choices for information residency and compliance.1
With Azure AI Foundry’s first-class reliability, realtime evaluations, built-in observability, and safe deployment choices, you’ll be able to confidently transfer from pilot to manufacturing—all aided whereas distinctive instruments like Model Router optimizes high quality, latency, and price throughout workloads.
1Pricing is correct as of August 2025