OpenAI shuts down Codex, merges it into GPT-5.5
On April 26, OpenAI announced that its dedicated programming model, Codex , has been officially retired, with its core capabilities fully integrated into the latest GPT-5.5 main model.

According to Romain Huet, Head of Developer Experience at OpenAI, the dedicated programming branch has ceased to exist since the GPT-5.4 version. The GPT-5.3, released in early February this year, became the last standalone Codex model. This shift signals OpenAI's return to a "generalist" strategy in its model architecture, aiming to cover all professional scenarios, including intelligent programming, through a single powerful system.
Regarding technical performance, the integrated GPT-5.5 demonstrates notable improvements in autonomous programming tasks (Agentic Coding) and computer resource utilization. Despite a roughly 20% increase in API pricing, algorithmic optimizations allow GPT-5.5 to consume fewer tokens than GPT-5.4 when handling similar programming tasks, delivering efficient output with lower resource usage.
In retrospect, Codex was first discontinued in 2023 and later reintroduced in May 2025 as an o3-based architecture. Now it has been reintegrated into the main model, reflecting a shift among top large models from "specialized plug-ins" to "inherent versatility" when handling domain-specific tasks. This move underscores that AI programming is no longer an experimental branch needing special maintenance, but a fundamental benchmark of general-purpose large model intelligence.
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On April 26, OpenAI announced that its dedicated programming model,

According to Romain Huet, Head of Developer Experience at OpenAI, the dedicated programming branch has ceased to exist since the GPT-5.4 version. The GPT-5.3, released in early February this year, became the last standalone Codex model. This shift signals OpenAI's return to a "generalist" strategy in its model architecture, aiming to cover all professional scenarios, including intelligent programming, through a single powerful system.
Regarding technical performance, the integrated
In retrospect,
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