GPT-5.4 First Test Results
Summary
OpenAI has released GPT 5.4, a new frontier model designed for professional work, integrating advances in reasoning, coding, and agentic workflows. It features a 1 million token context window, enhancing its ability to handle tasks requiring longer thinking. The model incorporates industry-leading coding capabilities from GPT-5.3 Codecs and improves performance across tools, software environments, spreadsheets, presentations, and documents. Early testers, including Brendan Foody from Merkore, report significant improvements in professional services work, achieving top scores on the Apex agents benchmark and delivering long-horizon deliverables faster and at lower cost. GPT 5.4 also demonstrates notable efficiency gains, including reduced token usage, faster speeds, and improved tool search, which dramatically cuts token requirements by 47% in some tasks. Its computer use capabilities are highlighted, achieving 75% on OSWorld verified, surpassing human-level performance of 72.4%.
Key takeaway
For AI/ML Directors evaluating new models for enterprise integration, GPT 5.4 represents a significant leap in professional task automation and computer use. Its enhanced efficiency, 1 million token context window, and improved agentic capabilities, particularly within the Codecs CLI, make it a strong candidate for complex workflows. You should prioritize testing GPT 5.4 for applications requiring robust coding, long-horizon deliverables, and autonomous software interaction, while being prepared to refine prompts to manage its verbosity and UI design limitations.
Key insights
GPT 5.4 excels in professional tasks and computer use, offering significant efficiency and performance gains.
Principles
- Iterative model releases are the norm.
- Efficiency gains are crucial for agentic workflows.
- Computer use capabilities are increasingly vital for AI agents.
Method
GPT 5.4 integrates reasoning, coding, and agentic workflows, utilizing a 1 million token context window and an optimized tool search mechanism to reduce token usage and improve task execution.
In practice
- Test GPT 5.4 for professional services automation.
- Explore Codecs CLI for reduced friction in development.
- Consider explicit step-by-step prompting for verbose models.
Topics
- OpenAI GPT 5.4
- Frontier Models
- Agentic Workflows
- Computer Use Capabilities
- Codeex
Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, Machine Learning Engineer, MLOps Engineer
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Daily Brief: Artificial Intelligence News.