Introducing GPT-5.4 in Microsoft Foundry
Summary
OpenAI has announced GPT-5.4, a new model designed for reliable completion of complex, multi-step workflows in production environments, available soon through Microsoft Foundry. This model emphasizes stronger reasoning and built-in computer use capabilities to support automation scenarios, aiming for consistent execution across tools and files. GPT-5.4 addresses the need for stability and instruction adherence in longer AI agent interactions, reducing task drift and mid-workflow failures. A premium variant, GPT-5.4 Pro, is also available for scenarios prioritizing analytical depth, such as scientific research. Both models are deployed via Microsoft Foundry, which offers operational controls like policy enforcement, monitoring, and version management. Pricing for GPT-5.4 is $2.50 per million input tokens and $15.00 per million output tokens, while GPT-5.4 Pro costs $30.00 per million input tokens and $180.00 per million output tokens.
Key takeaway
For CTOs and VPs of Engineering deploying AI in production, GPT-5.4 offers a path to more reliable and consistent agentic workflows. Your teams can reduce manual oversight and mid-workflow failures by leveraging its enhanced reasoning and execution stability. Consider integrating GPT-5.4 through Microsoft Foundry to align with existing security and operational requirements from day one.
Key insights
GPT-5.4 enhances AI agent reliability and consistency for complex, multi-step production workflows.
Principles
- Consistency is critical for complex AI agent workflows.
- Reliable execution matters as much as raw intelligence.
Method
GPT-5.4 combines stronger reasoning with integrated computer use capabilities to support dependable execution across tools and multi-step workflows.
In practice
- Deploy agentic AI with greater confidence.
- Reduce task drift and workflow failures.
- Integrate with existing security and compliance.
Topics
- GPT-5.4
- Microsoft Foundry
- AI Agents
- Production AI
- Enterprise AI Deployment
Best for: CTO, VP of Engineering/Data, Director of AI/ML, MLOps Engineer, AI Engineer, AI Architect
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