As we speak, we’re asserting normal availability of OpenAI’s new flagship, GPT-5, in Azure AI Foundry. That is greater than a brand new mannequin launch; it is essentially the most highly effective massive language mannequin (LLM) ever launched throughout key benchmarks.
For enterprise leaders constructing with AI, the dialog has moved past chat. The bar is greater: can your AI generate, motive, and ship measurable outcomes—safely and at scale?
As we speak, we’re asserting normal availability of OpenAI’s new flagship mannequin, GPT-5, in Azure AI Foundry. That is greater than a brand new mannequin launch; it is essentially the most highly effective LLM ever launched throughout key benchmarks. GPT-5 in Azure AI Foundry pairs frontier reasoning with high-performance era 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: Constructed for real-world workloads
In Azure AI Foundry, the GPT-5 fashions can be found by way of API and orchestrated by themodel router. The GPT-5 collection spans complementary strengths:
- GPT-5, a full reasoning mannequin supplies deep, richer reasoning for analytics and complicated duties, like code era, with a 272k token context.
- GPT-5 mini powers real-time experiences for apps and brokers that require reasoning, instrument calling to resolve buyer issues.
- GPT-5 nano is a brand new class of reasoning mannequin which focuses on ultra-low-latency and velocity 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.
Collectively, 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 Fashions.
Beneath the hood, GPT-5 unifies superior reasoning, code era, and pure language interplay. It combines analytical depth with intuitive dialogue to resolve end-to-end issues and clarify its method. Agentic capabilities enable multi-step instrument use and lengthy motion chains with clear, auditable selections. As a frontier-level coding mannequin, GPT-5 can plan complicated 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, velocity, 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. Beginning at the moment, builders can use the mannequin router in Foundry Fashions to maximise the capabilities of the GPT-5 household fashions (and different fashions in Foundry Fashions) whereas saving as much as 60% on inferencing value with no loss in constancy. Powered by a fine-tuned SLM underneath 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 process. Let the mannequin router choose the fitting mannequin so as to construct your AI-powered purposes with ease.
And orchestration doesn’t cease at routing—Foundry carries the identical intelligence into brokers. Coming quickly, GPT-5 might be accessible within the Foundry Agent Service, pairing frontier fashions with built-in instruments together with new browser automation and Mannequin Context Protocol (MCP) integrations. The consequence: policy-governed, tool-using brokers that may search, act in internet apps, and full end-to-end duties—instrumented with Foundry telemetry and aligned to Microsoft Accountable AI.
Accelerating enterprise influence with GPT-5
These capabilities map on to enterprise influence.
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, threat evaluation, and claims processing by pairing sturdy reasoning with coverage adherence. Copilots and buyer expertise groups profit from multi-turn, multimodal brokers that motive in actual time, name instruments, resolve duties, and revert to people with extra useful context.
In software program engineering, GPT-5 excels at code era, software modernization, and high quality engineering—bettering code type and explanations to compress evaluation cycles.
And to be used instances that are value or latency delicate, GPT-5-nano’s extremely‑low‑latency structure delivers speedy, excessive‑accuracy responses, making it the best goal for advantageous‑tuning and the go‑to mannequin for top‑quantity, easy requests.
GPT-5 buyer highlight
Prospects are unleashing GPT-5 throughout complicated, 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 Basis. GPT-5 in Azure AI Foundry will allow our product crew and our developer neighborhood to ship impactful enterprise improvements to our clients.
—Dr. Walter Solar, SVP and International 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 your entire authorized course of.
—Dr. Aron Ahmadia, Senior Director, Utilized 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’ll pinpoint essential figures throughout 1000’s of paperwork and structuring complicated monetary evaluation with velocity and accuracy.
—Danny Wheller, VP of Enterprise and Technique
Constructing with AI in GitHub Copilot and Visible Studio Code
GPT-5 begins rolling out at the moment to thousands and thousands of builders utilizing GitHub Copilot and Visible Studio Code, making use of the flagship mannequin’s superior reasoning capabilities to more and more complicated issues—from refined refactoring to navigating massive codebases extra successfully. GPT-5 helps builders write, check, and deploy code quicker, whereas supporting agentic coding duties with vital enhancements to coding type and total code high quality. With GPT-5, builders not solely code quicker, however code higher.
With at the moment’s VS Code launch, builders additionally achieve a extra highly effective agentic coding expertise straight inside the editor: GitHub Copilot’s coding agent has an improved expertise for autonomously tackling duties within the background. Moreover, 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 adjustments to a previous level. As we speak, we’re additionally asserting an up to date extension to develop brokers utilizing the Azure AI Foundry extension all inside VS Code surroundings.
These bulletins prolong Microsoft’s technique to rework software program growth with AI, bringing superior AI capabilities to your entire software program lifecycle.
Safety, security, and governance by design
In all domains, safety and security is a layer cake of protections, which collectively present safety for threat 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 Pink Workforce 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 Chook, Chief Product Officer of Accountable AI, Microsoft
As we take into consideration the protection, safety, and governance layers round this core—Azure AI Foundry supplies a lot of extra controls:
- Azure AI Content material Security protections are utilized to each immediate and completion, similar to immediate shields, which assist to detect and mitigate prompt-injection makes an attempt earlier than they attain the mannequin.
- Constructed-in agent evaluators work with the AI Pink 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 Software Insights for single-pane visibility.
- Lastly, safety alerts combine straight 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 your entire GPT-5 lifecycle.
Bringing AI into each workflow with GitHub Copilot and Visible Studio Code
Beginning at the moment, GPT-5 begins rolling out to thousands and thousands of builders who use GitHub Copilot and Visible Studio Code who will be capable of choose GPT-5 to write down, check, and deploy code—and develop brokers utilizing the Azure AI Foundry extension all inside VS Code surroundings. GPT-5 helps complicated agentic coding duties with vital enhancements to coding character, front-end aesthetics, and code high quality, extremely desired enhancements for the developer neighborhood.
Our evaluations present OpenAI GPT-5’s reasoning capabilities and contextual consciousness exceed o3, enabling builders to deal with extra complicated issues—from refactoring to navigating massive codebases. With GPT-5, customers within the Visible Studio household cannot solely code quicker, however code higher.
VS Code and our latest choice to open-source GitHub Copilot, represents our dedication to open instruments and requirements and demonstrates our potential to fulfill the speedy tempo of mannequin improvements whereas holding 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.
As we speak’s announcement extends Microsoft’s technique to rework software program growth with AI, bringing superior AI capabilities to your entire software program lifecycle.
Begin constructing at the moment
GPT-5 is out there by way of our Commonplace providing in Azure AI Foundry, with deployment decisions optimized for cost-efficiency and governance wants, together with International and Knowledge 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 Mannequin Router optimizes high quality, latency, and price throughout workloads.
1Pricing is correct as of August 2025
