OpenAI unveils GPT-5.4, the new generation of models
- Maxime Hiez
- OpenAI
- 09 Mar, 2026
Introduction
OpenAI has just announced GPT-5.4, a new evolution of its GPT model family. Designed for professional uses and complex tasks, this model introduces several major improvements in reasoning, automation, and integration with IT tools.
A model designed for professional work
OpenAI presents GPT-5.4 as its most powerful model for professional work. It replaces previous versions used in the API and now serves as the benchmark for tasks requiring advanced reasoning, coding, or the analysis of complex documents.
The model is distinguished by :
- Improved reasoning for solving complex problems
- Greater reliability in multi-step workflows
- Enhanced ability to follow detailed instructions
These improvements aim to make AI more reliable for tasks such as programming, data analysis, and writing technical documentation.
A massive context window
One of the most impressive technical advancements of GPT-5.4 is its context window of approximately 1 million tokens.
In practical terms, this means the model can analyze significantly larger volumes of information in a single interaction.
- Long reports or document repositories
- Large code projects
- Complex conversations or workflows
This capability allows businesses and developers to process entire projects without having to break the data down into multiple queries.
AI capable of using a computer
GPT-5.4 also introduces a particularly important feature : native computer use.
The model can :
- Interpret screenshots
- Generate code to control applications
- Simulate actions such as mouse clicks or keystrokes
This paves the way for autonomous agents capable of interacting with software and websites to accomplish concrete tasks.
Improved integration with tools and workflows
The model is also optimized to work with external tools and APIs. It can search for and use connectors, automate tasks, and integrate with existing software pipelines.
This approach transforms GPT models into true productivity assistants, capable of :
- Automating business processes
- Manipulating documents or spreadsheets
- Orchestrating actions between multiple software services
A Pro version for the toughest problems
OpenAI also offers GPT-5.4 Pro, a more powerful version of the model. This version uses more computing resources to produce more accurate answers and handle even more complex problems.
This version may take longer to respond, but it is designed for use cases where the quality of the reasoning is paramount.
Enhanced security and reliability
As with previous versions, OpenAI has integrated security measures and control mechanisms to limit misuse of the model.
GPT-5.4 notably includes improvements in cybersecurity risk management and in preventing dangerous or malicious use.
Towards more autonomous AI agents
With GPT-5.4, OpenAI takes another step towards agents capable of performing real-world tasks in digital environments.
Thanks to its advanced understanding, its ability to manipulate tools, and its vast context window, the model can participate in complex projects involving multiple steps and information sources.
Benchmarks : Where GPT-5.4 stands Out
OpenAI publishes several metrics and compares GPT-5.4 to GPT-5.3-Codex and GPT-5.2 :
| GPT-5.4 | GPT-5.3-Codex | GPT-5.2 | |
|---|---|---|---|
| GDPval (wins or ties) | 83,0% | 70,9% | 70,9% |
| SWE-Bench Pro (Public) | 57,7% | 56,80% | 55,6% |
| OSWorld-Verified | 75,0% | 74% | 47,3% |
| Toolathlon | 54,6% | 51,9% | 46,3% |
| BrowseComp | 82,7% | 77,30% | 65,8% |
Even though benchmarks never replace real-world testing, the trend is consistent with the promise : more agentic, more computer use, more productivity.
Conclusion
With GPT-5.4, OpenAI offers not just a performance improvement to a language model, but a profound evolution in how AI models are designed and used. With the clear introduction of concepts like Thinking and Codex, OpenAI demonstrates that the goal is no longer simply to produce higher-quality text, but to create systems capable of reasoning, planning, and acting.
In this new approach, artificial intelligence no longer merely answers a question. It can analyze a problem, structure a solution, and then use tools to execute concrete tasks. This combination of advanced reasoning, automation, and interaction with software environments paves the way for much broader applications, whether for software development, data analysis, content creation, or business process automation.
Sources
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