Guotai Haitong: GPT-5.2 series redefines AI productivity, driving AI from model competition to scenario implementation.

Guotai Haitong released a research report stating that the release of the GPT-5.2 series marks a new stage in the transition of large-scale model capabilities from technical demonstrations to scalable economic production. It has reached the level of human experts in abstract reasoning and complex knowledge work, confirming the potential of AI to create economic value in high-end professional fields. This will accelerate the shift of industrial competition focus from basic models to specific scenario applications, enterprise services, and human-machine collaborative workflows. Guotai Haitong's main points are as follows: GPT-5.2 has made a historic breakthrough in core reasoning and professional tasks, reaching the level of human experts for the first time in a comprehensive evaluation. On December 12, on the tenth anniversary of OpenAI, the GPT-5.2 series models were officially released, which includes Instant, Thinking, and Pro versions, aimed at addressing different levels of task complexity. In the "AI Turing Test" ARC-AGI-2 test, it scored 52.9%, nearly three times higher than GPT-5.1's 17.6%, equaling the recent Gemini 3 in abstract reasoning ability. More importantly, in the GDPval benchmark test, which covers 44 real professional scenarios, GPT-5.2 Thinking outperformed or tied industry experts on 70.9% of tasks, while GPT-5.2 Pro reached 74.1%, marking the first time that an AI model has overall reached the top level of human performance in comprehensive knowledge work evaluation. In tasks such as investment bank financial modeling, its average score increased from 59.1% to 68.4%, signaling that AI is starting to deeply penetrate core productivity areas. GPT-5.2 has made significant progress in code generation, long-context understanding, and visual comprehension, providing reliable support for complex multimodal tasks. In the more realistic engineering environment evaluation of SWEBench Pro, GPT-5.2 Thinking achieved a SOTA score of 55.6% and showed more potential in frontend and 3D interface generation. Its long-context processing capability made a qualitative leap, with an accuracy close to 100% in the "multi-needle retrieval" test with a length of 256K tokens, compared to GPT-5.1's 30%, enabling it to deeply analyze ultra-long documents and complex projects. In terms of vision, its error rate in scientific chart question answering (CharXiv Reasoning) and GUI interface understanding (ScreenSpot-Pro) has decreased by nearly half compared to the previous generation, with significantly enhanced spatial positioning capability, laying a solid foundation for AI agents to process real-world information. The reliability of GPT-5.2's tool calls has significantly improved, optimizing security and deployment strategies for enterprise-level applications. GPT-5.2 scored 98.7% in the multi-round complex tool call test (Tau2-bench), being able to autonomously plan and complete multi-step customer service processes involving changes and compensations, demonstrating strong end-to-end task execution capability. At the same time, OpenAI has continued its iterative deployment strategy, providing the GPT-5.2 series (Instant, Thinking, Pro) to paying users in ChatGPT, while retaining GPT-5.1 for up to three months to ensure a smooth transition. Although the API has increased in price by about 40%, the official emphasized that the improvement in token efficiency can keep the overall cost under control, and ongoing tests on age prediction and content protection mechanisms also reflect continued investment in security. Risk warning: The iteration speed of large models may fall short of expectations, there may be insufficient computing power supply, and there may be risks related to data privacy compliance.