OpenAI GPT-5.4 surprise release: Understanding the context of 2 million tokens and the era of ‘direct computer use’
After OpenAI launched GPT-5 in August 2025, it released GPT-5.4 version that maximized performance and stability, setting a new standard in the AI industry. This update goes beyond a simple language model upgrade and focuses on ‘agentic functions’ where the system judges the environment and performs tasks on its own.
1. 2 million token context window: Completion of long-term memory
The most notable technical advancement in GPT-5.4 is the expansion of the Context Window to up to 2 million tokens. This means that tens of thousands of lines of source code, thousands of pages of professional books, or an entire company's project documents can be input and analyzed all at once.
- Persistent Memory: AI can now remember the context of a project and continue discussions beyond a single session.
- Real-time intelligent routing: Automatically selects the optimal reasoning strategy based on the user's question difficulty, processing simple tasks immediately and switching to Deep Reasoning mode for complex problems.
2. ‘Computer-use’: AI in action
GPT-5.4 goes beyond simple text answers and has the ability to visually recognize the operating system environment and directly control the mouse and keyboard. This dramatically improves work productivity by allowing AI to take over the repetitive software operations previously performed manually by users.
- Complex tool chain call: Automatically executes multi-step commands in one workflow, such as “Collect market data, organize it in Excel, create a report based on it, and send it by email.”
- Visual screen understanding: By recognizing UI elements of browsers or specific software, you can perform tasks flexibly even in environments without API support.
3. PhD-level reasoning ability and minimal hallucination
Compared to existing models, it shows PhD-level logical reasoning abilities in the fields of mathematics, coding, and science. The 'Mid-step Planning' stage, which involves establishing a plan before providing an answer, has been strengthened, and the probability of hallucination occurring has been dramatically lowered compared to the previous version through an in-house verification filter.
4. Model optimization for developers and solopreneurs
OpenAI offers three model options to suit your usage environment.
- GPT-5: Standard model that balances performance and speed
- GPT-5-Mini: Handles lightweight tasks quickly and at low cost
- GPT-5-Nano: Optimized for real-time services with high power efficiency and ultra-fast response speed
Technical suggestions and future prospects
The emergence of GPT-5.4 marks a transition to an era in which humans go beyond using AI as a tool and treat AI as an autonomous work partner. Beyond simply retrieving information, there will likely be an increasing number of cases where AI agents are deeply integrated into actual business processes to reduce costs and create value.
Considerations when introducing
- Workflow Design Ability: Now, the ability to logically design the overall work steps (Workflow Design) is more important than being good at asking questions (Prompt).
- Importance of data quality: In order for an AI agent to make autonomous decisions, the company's internal data must be refined and structured in a form accessible to AI.
- Review process (Human-in-the-loop): As the autonomy of AI increases, it is essential to set up an appropriate intervention process in which humans make the final judgment and responsibility.
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