This GPT-5.5 release comes just six weeks after GPT-5.4, demonstrating OpenAI’s determination to maintain market leadership. This model, in particular, has made remarkable advancements in agent capabilities, coding and knowledge work performance, and efficiency and safety.

Enhanced Agent Capabilities: The Emergence of Self-Solving AI

The most crucial change in GPT-5.5 is its dramatically enhanced agent capabilities. OpenAI emphasized that this model understands user intent faster and can autonomously handle complex, multi-step tasks. While previous AI models merely performed single, instructed tasks, GPT-5.5 has reached a level where it can be entrusted with entire projects, much like a competent assistant. The era has arrived where instead of saying, “Do this for me,” we can now order AI to “Achieve this goal.”

These enhanced agent capabilities are characterized by the following:

• Planning and Tool Utilization: Upon receiving complex commands, it autonomously plans, finds and utilizes necessary tools, and proceeds with the task.
• Task Result Verification: It self-verifies intermediate results, judges ambiguous situations, and decides the next steps.
• Continuous Task Execution: It maintains a continuous workflow over time, not just one-off tasks, to achieve goals.
• Computer Operation Capabilities: It possesses the ability to continue tasks in a real software environment, including screen recognition, clicking, input, and navigation.

This is widely predicted to be the core foundation of the ‘super app’ that OpenAI envisions.

Coding and Knowledge Work: Maximizing Efficiency with Overwhelming Performance

GPT-5.5 shows remarkable performance improvements in specific specialized fields. In particular, it has demonstrated results that overwhelmingly surpass previous models in software engineering and scientific research. Developers are even saying, “It’s like we finally have a real coding colleague.”

Key performance indicators for GPT-5.5 are as follows:

• Coding Ability: It achieved an accuracy of 82.7% in Terminal-Bench 2.0, which evaluates the ability to perform complex command-line tasks, significantly exceeding GPT-5.4’s 75.1%. It also achieved 58.6% in SWE-Bench Pro, which evaluates the ability to solve real GitHub issues, completing more tasks in a single pass.
• Knowledge Work and Research: It scored 84.9% on the GDPval metric, which assesses knowledge work performance across 44 job categories, surpassing competitor Anthropic‘s Claude Opus 4.7 (80.3%). It also showed improved performance compared to GPT-5.4 in scientific research fields such as genetics, quantitative biology, and bioinformatics.
• Data Analysis and Document Creation: Its ability to support overall real-world tasks, including online research, data analysis, and document and spreadsheet creation, has been enhanced.

These figures indicate that GPT-5.5 will become a powerful productivity tool in real work environments, beyond being a mere text generator.

Cost-Effectiveness and Robust Safety: The Evolution of User Experience

With the release of GPT-5.5, OpenAI has focused not only on performance but also on efficiency and safety. This move seems to address criticisms like, “What’s the point of a smart model if it’s inconvenient or dangerous to use?”

GPT-5.5 offers the following strengths:

• Excellent Efficiency: It maintains the same latency per token as GPT-5.4 in real service environments while offering significantly higher intelligence. It also requires fewer tokens to complete the same Codex tasks, providing cost-effectiveness.
• Enhanced Safety Measures: It is equipped with the strongest safety measures to date to minimize AI model misuse and ensure access to beneficial tasks. In particular, it applies higher refusal standards and additional protective measures for high-risk cyber-related requests. Before its release, feedback on real-world use cases was collected from approximately 200 trusted early access partners to verify its safety.

Currently, GPT-5.5 is being rolled out to ChatGPT and Codex Plus, Pro, Business, and Enterprise users, with the API to be released soon. The API pricing for developers is set at $5 per 1 million input tokens and $30 per 1 million output tokens for GPT-5.5.

GPT-5.5 is turning the possibilities of Agent AI into reality, signaling comprehensive changes from coding to research and general work. OpenAI’s attempts to stay ahead amidst fierce competition from rivals will continue, and in that process, AI technology will evolve even faster. GPT-5.5 clearly demonstrates that the day when AI becomes a partner that judges and acts autonomously, rather than just a tool that follows instructions, is not far off.

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In particular, the major update announced on April 17, 2026, was truly game-changing for software development. Not only does it automate coding tasks, but it can even generate images. I was quite surprised at first. It makes me think that existing development methods could be completely shaken up. Today, let’s honestly explore how Codex is evolving and what impact it will have on our development ecosystem.

Codex Beyond Coding Assistance: Now It Controls Computers?

To be honest, when Codex first came out, I thought, ‘Oh, it’s just a tool to make coding a bit easier.’ But my perspective completely changed after seeing the March and April 2026 updates. Now, Codex isn’t just writing code; it’s become an AI agent that operates directly on the user’s computer, utilizing various applications.

• Enhanced Desktop App Support: Expanding desktop app support, starting with macOS and extending to Windows, allows developers to integrate Codex more deeply into their actual work environments.
• Background Task Processing: It can handle repetitive code modifications or test executions, resume interrupted tasks, and even manage long-term projects spanning several days. The era where AI does human work has arrived.
• Automation of the Entire Development Workflow: With Codex automating or assisting with overall development processes like code writing, modification, test execution, and responding to code reviews, many predict a significant boost in developers’ work efficiency.

‘Shock and Awe’ Among Developers: What’s Behind It?

Many say that this radical evolution of Codex has been met with ‘shock and awe’ in the developer community. In particular, there were articles in February 2026 about a significant drop in software company stock prices and increased job insecurity following the release of the Codex app. This, combined with OpenAI CEO Sam Altman’s ‘helplessness’ remark, further fueled developers’ outrage. Critics argued that it was hypocritical to express helplessness after releasing technology that threatens developers’ jobs.

In fact, there’s a good reason for these concerns. Since March 2026, GPT-5.4 has become the primary model for Codex, leading to a massive improvement in performance. With GPT-5.4 mini also being used as a supplementary model, Codex now appears less like a mere coding tool and more like a system that systematically organizes agent tasks. These changes are bound to cause significant ripples across the entire software industry.

The Future Codex Envisions: The Dawn of the ‘Super App’ Era?

As Codex evolves beyond simple coding to an AI agent that directly controls computers, the future of software development seems poised to enter an entirely new phase. There are a few particularly noteworthy features:

• Image Generation and Utilization: By leveraging the GPT-Image-1.5 model to generate and modify images, visual tasks can be integrally performed across various development stages, including UI design, product concepts, and game creation.
• Powerful Collaboration Features: The ability to understand the context of collaboration tools like Slack, Gmail, and Notion, track tasks, and suggest follow-up actions will significantly boost the efficiency of team-based development. It can even review GitHub comments and continue modification tasks.
• Agent SDK Provision: Providing an SDK that allows developers to build and operate Codex-based AI agents directly is also key. This demonstrates Codex’s intent to expand beyond a mere tool into a platform.

Looking at these features, it’s predicted that Codex will not just be a coding agent but the center of a massive AI ecosystem, offering various functions bundled together, much like a ‘super app’ on a smartphone. In fact, within OpenAI, Codex-based AI agents are reportedly being used to autonomously operate data platforms, debug failures, and manage releases. At this point, it’s fair to consider it a core future technology.

These changes in Codex will present both new challenges and opportunities for developers. It will require thinking beyond just writing good code to how to effectively utilize and instruct AI agents to create greater value. I’m truly excited about the software world that Codex will create in the future.

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