技术规格

GPT-5.2 Codex

GPT-5.2 Codex is a specialized foundation model within the GPT-5.2 series, engineered specifically for high-fidelity software development and agentic engineering workflows. It utilizes a dense transformer architecture optimized for sustained reasoning across extensive codebases. The model is designed to function as an autonomous partner rather than a simple autocomplete assistant, capable of planning and executing multi-step engineering tasks such as large-scale refactoring, library migrations, and complex debugging. By integrating advanced context compaction techniques, the model maintains coherence over long-duration sessions, effectively managing dependencies and architectural constraints that typically challenge standard language models.

Technically, GPT-5.2 Codex introduces native support for multimodal inputs, allowing it to interpret technical diagrams, UI mockups, and screenshots alongside source code. This capability enables the model to bridge the gap between design specifications and functional implementation. The architecture emphasizes high-precision tool-calling and environment interaction, particularly within Windows-based development ecosystems. It also incorporates enhanced defensive cybersecurity capabilities, permitting the identification and remediation of critical vulnerabilities during the development lifecycle without requiring external security analysis tools.

Designed for integration into professional IDEs and enterprise pipelines, the model supports a wide array of programming languages including Python, Rust, Go, and TypeScript. Its performance characteristics are defined by a high degree of steerability and strict adherence to developer instructions, which minimizes iterative overhead in production environments. Use cases for GPT-5.2 Codex extend from automated documentation generation to the creation of end-to-end data pipelines and the maintenance of legacy systems, where its ability to reason over hundreds of thousands of tokens ensures structural integrity across the entire project lifecycle.