오픈AI, 실무 완수형 최신 모델 GPT-5.5 발표

April 23, 2026 Product Release Introducing GPT‑5.5 A new class of intelligence for real work Loading… Share We’re releasing GPT‑5.5, our smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer. GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT‑5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going. The gains are especially strong in agentic coding, computer use, knowledge work, and early scientific research—areas where progress depends on reasoning across context and taking action over time. GPT‑5.5 delivers this step up in intelligence without compromising on speed: larger, more capable models are often slower to serve, but GPT‑5.5 matches GPT‑5.4 per-token latency in real-world serving, while performing at a much higher level of intelligence. It also uses significantly fewer tokens to complete the same Codex tasks, making it more efficient as well as more capable. We are releasing GPT‑5.5 with our strongest set of safeguards to date, designed to reduce misuse while preserving access for beneficial work. We evaluated this model across our full suite of safety and preparedness frameworks, worked with internal and external redteamers, added targeted testing for advanced cybersecurity and biology capabilities, and collected feedback on real use cases from nearly 200 trusted early-access partners before release. Today, GPT‑5.5 is rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex, and GPT‑5.5 Pro is rolling out to Pro, Business, and Enterprise users in ChatGPT. API deployments require different safeguards and we are working closely with partners and customers on the safety and security requirements for serving it at scale. We'll bring GPT‑5.5 and GPT‑5.5 Pro to the API very soon. GPT-5.5 GPT-5.4 GPT-5.5 Pro GPT-5.4 Pro Claude Opus 4.7 Gemini 3.1 Pro Terminal-Bench 2.0 82.7% 75.1% - - 69.4% 68.5% Expert-SWE (Internal) 73.1% 68.5% - - - - GDPval (wins or ties) 84.9% 83.0% 82.3% 82.0% 80.3% 67.3% OSWorld-Verified 78.7% 75.0% - - 78.0% - Toolathlon 55.6% 54.6% - - - 48.8% BrowseComp 84.4% 82.7% 90.1% 89.3% 79.3% 85.9% FrontierMath Tier 1–3 51.7% 47.6% 52.4% 50.0% 43.8% 36.9% FrontierMath Tier 4 35.4% 27.1% 39.6% 38.0% 22.9% 16.7% CyberGym 81.8% 79.0% - - 73.1% - Model capabilities OpenAI is building the global infrastructure for agentic AI, making it possible for people and businesses around the world to get work done with AI. Over the past year, we’ve seen AI dramatically accelerate software engineering. With GPT‑5.5 in Codex and ChatGPT, that same transformation is beginning to extend into scientific research and the broader work people do on computers. Across these domains, GPT‑5.5 is not just more intelligent; it is more efficient in how it works through problems, often reaching higher-quality outputs with fewer tokens and fewer retries. On Artificial Analysis's Coding Index, GPT‑5.5 delivers state-of-the-art intelligence at half the cost of competitive frontier coding models. Agentic coding GPT‑5.5 is our strongest agentic coding model to date. On Terminal-Bench 2.0, which tests complex command-line workflows requiring planning, iteration, and tool coordination, it achieves a state-of-the-art accuracy of 82.7%. On SWE-Bench Pro , which evaluates real-world GitHub issue resolution, it reaches 58.6%, solving more tasks end-to-end in a single pass than previous models. On Expert-SWE , our internal frontier eval for long-horizon coding tasks with a median estimated human completion time of 20 hours, GPT‑5.5 also outperforms GPT‑5.4. Across all three evals, GPT‑5.5 improves on GPT‑5.4’s scores while using fewer tokens. The model’s coding strengths show up especially clearly in Codex where it can take on engineering work ranging from implementation and refactors to debugging, testing, and validation. Early testing suggests GPT‑5.5 is better at the behaviors real engineering work depends on, like holding context across large systems, reasoning through ambiguous failures, checking assumptions with tools, and carrying changes through the surrounding codebase. The rendered trajectory uses NASA/JPL Horizons vector data for Orion, the Moon, and the Sun, with display scaling applied for readability. Prompt: [attached image] Implement this as a new app using webgl and vite using real data from the artemis II mission. Make sure to test the app thoroughly until it is fully functional and looks like the app in the picture. Pay close attention to the rendering of the planets and fly paths. I want to be able to interact with the 3D rendering. Ensure it has realistic orbital mechanics. Beyond benchmarks, early testers said GPT‑5.5 shows a stronger ability to understand the shape of a system: why something is failing, where the fix needs to land, and what else in the codebase would be affected. “The first coding model I’ve used that has serious conceptual clarity.” “The first coding model I’ve used that has serious conceptual clarity.” Dan Shipper , Founder and CEO of Every, described GPT‑5.5 as “the first coding model I’ve used that has serious conceptual clarity.” After launching an app, he spent days debugging a post-launch issue before bringing in one of his best engineers to rewrite part of the system. To test GPT‑5.5, he effectively rewound the clock: could the model look at the broken state and produce the same kind of rewrite the engineer eventually decided on? GPT‑5.4 could not. GPT‑5.5 could. “ It genuinely feels like I’m working with a higher intelligence, and there’s almost a sense of respect. ” “ It genuinely feels like I’m working with a higher intelligence, and there’s almost a sense of respect. ” Pietro Schirano, CEO of MagicPath, saw a similar step change when GPT‑5.5 merged a branch with hundreds of frontend and refactor changes into a main branch that had also changed substantially, resolving the work in one shot in about 20 minutes. Senior engineers who tested the model said GPT‑5.5 was noticeably stronger than GPT‑5.4 and Claude Opus 4.7 at reasoning and autonomy, catching issues in advance and predicting testing and review needs without explicit prompting. In one case, an engineer asked it to re-architect a comment system in a collaborative markdown editor and returned to a 12-diff stack that was nearly complete. Others said they needed surprisingly little implementation correction and felt more confident in GPT‑5.5’s plans compared with GPT‑5.4. One engineer at NVIDIA who had early access to the model went as far as to say: "Losing access to GPT‑5.5 feels like I've had a limb amputated.” “GPT-5.5 is noticeably smarter and more persistent than GPT-5.4, with stronger coding performance and more reliable tool use. It stays on task for significantly longer without stopping early, which matters most for the complex, long-running work our users delegate to Cursor.” — Michael Truell, Co-founder & CEO at Cursor Knowledge work The same strengths that make GPT‑5.5 great at coding also make it powerful for everyday work on a computer. Because the model is better at understanding intent, it can move more naturally through the full loop of knowledge work: finding information, understanding what matters, using tools, checking the output, and turning raw material into something useful. In Codex, GPT‑5.5 is better than GPT‑5.4 at generating documents, spreadsheets, and slide presentations. Alpha testers said it outperformed past models on work like operational research, spreadsheet modeling, and turning messy business inputs into plans. When combined with Codex’s computer use skills, GPT‑5.5 brings us closer to the feeli