Introducing GPT-5.4 in Microsoft Foundry

GPT-5.4โ€™s main architectural signal is not just better model quality, but a shift toward production completeness. For teams building agents that must carry state across long tasks, the practical question is whether the model can preserve intent, handle tool calls predictably, and recover from workflow friction without constant human intervention. That makes consistency, not only capability, the core integration criterion.

The built-in computer use angle matters because it changes the interface between model and system. Instead of treating the model as a text-only component, implementers now need to think about orchestration across files, tools, guarded execution, and handoffs. That raises the bar for permission design, sandboxing, audit trails, and error handling, especially when workflows span multiple systems and depend on deterministic operations.

Microsoft Foundryโ€™s lifecycle controls are therefore as important as the model release itself. Policy enforcement, monitoring, version management, and auditability are the mechanisms that make agentic AI governable in enterprise settings. The operational trade-off is familiar: more control can slow experimentation, but it also reduces unmanaged drift when models are embedded into business-critical processes.

For technical leaders, the bigger decision is workload fit. GPT-5.4 appears aimed at dependable execution, while GPT-5.4 Pro targets deeper, slower reasoning. That split suggests a design pattern: use the baseline model for production automation and the Pro variant where decision depth matters more than latency. The result is a more explicit AI portfolio, with cost, responsiveness, and governance tuned to task criticality.


Today, weโ€™re thrilled to announce that OpenAIโ€™s GPTโ€‘5.4 is now generally available in Microsoft Foundry: a model designed to help organizations move from planning work to reliably completing it in production environments. As AI agents are applied to longer, more complex workflows; consistency and followโ€‘through become as important as raw intelligence. GPTโ€‘5.4 combines stronger reasoning with built in computer use capabilities to support automation scenarios, and dependable execution across tools, files, and multiโ€‘step workflows at scale.
GPT-5.4: Enhanced Reliability in Production AI
GPT-5.4 is designed for organizations operating AI in real production environments, where consistency, instruction adherence, and sustained context are critical to success. The model brings together advances in reasoning, coding, and agentic workflows to help AI systems not only plan tasks but complete them with fewer interruptions and reduced manual oversight. Compared with earlier generations, GPT-5.4 emphasizes stability across longer interactions, enabling teams to deploy agentic AI with greater confidence in day-to-day production use. GPT-5.4 introduces advancements that aim for production grade AI:
  • More consistent reasoning over time,ย helping maintain intent across multiโ€‘turn and multiโ€‘step interactions
  • Enhanced instruction alignmentย to reduce prompt tuning and oversight
  • Latency improvedย performanceย for responsive, real-time workflows
  • Integrated computer use capabilitiesย for structured orchestration of tools, file access, data extraction, guarded code execution, and agent handoffs
  • More dependable tool invocationย reducing prompt tuning and human oversight
  • Higherโ€‘quality generated artifacts,ย including documents, spreadsheets, and presentations with more consistent structure
Together, these improvements support AI systems that behave more predictably as tasks grow in length and complexity.
From capability to real-world outcomes
GPTโ€‘5.4 delivers practical value across a wide range of production scenarios where followโ€‘through and reliability are essential:
  • Agentโ€‘driven workflows, such as customer support, research assistance, and business process automation
  • Enterprise knowledge work, including document drafting, data analysis, and presentationโ€‘ready outputs
  • Developer workflows, spanning code generation, refactoring, debugging support, and UI scaffolding
  • Extended reasoning tasks, where logical consistency must be preserved across longer interactions
Teams benefit from reduced task drift, fewer midโ€‘workflow failures, and more predictable outcomes when deploying GPTโ€‘5.4 in production.
GPT-5.4ย Pro: Deeper analysis for complex decision workflows
GPTโ€‘5.4 Pro, a premium variant designed for scenarios where analytical depth and completeness are prioritized over latency. Additional capabilities include:
  • Multiโ€‘path reasoning evaluation, allowing alternative approaches to be explored before selecting a final response
  • Greater analytical depth, supporting problems with tradeโ€‘offs or multiple valid solutions
  • Improved stability across long reasoning chains, especially in sustained analytical tasks
  • Enhanced decision support, where rigor and thoroughness outweigh speed considerations
Organizations typically select GPTโ€‘5.4 Pro when deeper analysis is required such as scientific research and complex problems, while GPTโ€‘5.4 remains the right choice for workloads that prioritize reliable execution and agentic followโ€‘through.
Microsoft Foundry: Enterpriseโ€‘Grade Control from Day One
GPTโ€‘5.4 and GPTโ€‘5.4 Pro are available through Microsoft Foundry, which provides the operational controls organizations need to deploy AI responsibly in production environments. Foundry supports policy enforcement, monitoring, version management, and auditability, helping teams manage AI systems throughout their lifecycle. By deploying GPTโ€‘5.4 through Microsoft Foundry, organizations can integrate advanced agentic capabilities into existing environments while aligning with security, compliance, and operational requirements from day one. Customer Spotlight
Get Started with GPT-5.4 in Microsoft Foundry
GPTโ€‘5.4 sets a new bar for productionโ€‘ready AI by combining stronger reasoning with dependable execution. Through enterpriseโ€‘grade deployment in Microsoft Foundry, organizations can move beyond experimentation and confidently build AI systems that complete complex work at scale. Computer use capabilities will be introduced shortly after launch. GPTโ€‘5.4 <272K input tokens context length in Microsoft Foundry is priced at $2.50 per million input tokens, $0.25 per million cached input tokens, and $15.00 per million output tokens. The GPTโ€‘5.4 >272K input tokens context length in Microsoft Foundry is priced at $5.00 per million input tokens, $0.50 per million cached input tokens, and $22.50 per million output tokens. The GPT-5.4 is available at launch inย Standard Global and Standard Data Zone (US), with additional deployment options coming soon. GPTโ€‘5.4 Pro is priced at $30.00 per million input tokens, and $180.00 per million output tokens, and is available at launch in Standard Global.
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