GPT-5.4 rumored to launch next week! 2 million context window + persistent state, say goodbye to frequent forgetting

Recently, an OpenAI engineer submitted a pull request to the public Codex GitHub repository and inadvertently included “gpt-5.4”—an unreleased version—in the version check condition. Almost at the same time, screenshots showing the public model endpoint labeled “alpha-gpt-5.4” and dropdown menus circulated wildly on social platform X. What happened next was highly dramatic: the information seemed to trigger some kind of internal alarm. The original post was quickly deleted, the relevant code forcibly overwritten, quietly changing “gpt-5.4” to “gpt-5.3-codex”. This conspicuous withdrawal moved eliminated any doubt about “misused placeholders,” making the speculation of an early leak of the new version much more credible. All signs point to OpenAI preparing to skip the 5.3 version and orchestrate a surprise that could reset the industry landscape. Rumors suggest this generational leap may land as soon as next week. It aims to end the routine incremental updates in the large model field—throwing a trump card directly at competitors. Based on various information that has surfaced, the core weapon of this major update has become clear. It abandons the route of fighting head-to-head with peers in routine reasoning benchmark tests and shifts the main battleground to memory and context architecture. A context window of up to 2 million tokens paired with true Stateful AI means the model will finally break free from “goldfish-like memory”. It can fully preserve your workflow, development environment, and even tool invocation states across different conversations. Finally, workers no longer need to repeat lengthy project backgrounds like a tape recorder every time they start a new conversation. The model will have persistent cognitive continuity, truly integrating into users’ daily development rhythm. A secret leap in visual capabilities has also excited developers. The leaked information clearly mentioned a feature switch specifically for “gpt-5.4 and higher versions”. This feature allows the model to bypass traditional image compression mechanisms and directly read raw bytes in full resolution. This means front-end engineers and designers can hand over extremely detailed UI design images or complex engineering diagrams, saying goodbye to the previous experience of AI speaking nonsense about blurry compressed files—achieving pixel-level visual analysis. While Gemini 3.1 Pro and Claude 4.6 are still fighting for fractional advantages on various benchmarks, GPT-5.4’s ambition is to shift from “chatbot” to “fully automated agent employee”. It can reliably execute complex multi-step tasks in the background, making even the so-called most advanced competitors look like sophisticated calculators with dialog boxes. Of course, this level of context and state retention has ignited a “war for memory” at the hardware level. The explosive growth in massive KV cache brings high-bandwidth memory and SRAM allocation to extreme challenges, and the introduction of optical interconnect technology turns theoretical ideas into real needs. OpenAI has clearly made preparations at the underlying computing architecture to weather this storm. Source: [New Intelligent Source](https://mp.weixin.qq.com/s/o34crLpZf9_SCsSWMm4Gog) Risk Warning and Disclaimer The market carries risks, and investment should be done with caution. This article does not constitute individual investment advice and does not take into account the unique investment goals, financial situations, or needs of any individual user. Users should consider whether any opinions, views, or conclusions in this article suit their specific situation. Investing based on this is at your own risk.