技术规格

GPT-5.2

GPT-5.2 is a flagship multimodal frontier model from OpenAI, engineered for advanced professional knowledge work, complex multi-step reasoning, and autonomous agentic workflows. As a high-capacity successor in the GPT-5 lineage, it is designed to manage large-scale information density through an expanded 400,000-token context window and a substantial 128,000-token output capacity. These capabilities allow the model to ingest entire code repositories or technical documentation sets while generating comprehensive architectural designs and long-form reports in a single inference pass.

The model utilizes a dense transformer architecture and introduces an adaptive reasoning mechanism that dynamically scales computational resources based on query complexity. This system is supported by new API parameters such as reasoning effort and verbosity controls, enabling technical professionals to fine-tune the depth of the model's deliberation. The underlying training incorporates multi-modal datasets, integrating text and vision processing to improve performance on spatial reasoning, chart analysis, and software interface understanding.

Optimized for professional environments, GPT-5.2 facilitates complex tool-calling and context management via the Responses API. It supports specialized features such as context compaction and structured diff-based code editing, which are critical for iterative software engineering and data-heavy enterprise tasks. The model's training data includes a significantly advanced knowledge cutoff, providing more relevant context for modern software tools, scientific research, and global events.