According to God of Prompt, GPT-5.2 has significantly outperformed Gemini and Claude in Thinking evals Benchmarks, marking a major leap for AI in practical knowledge work and automation (source: twitter.com/godofprompt/status/1999185858948399599). GPT-5.2 now matches or exceeds industry experts in 70.9% of real-world tasks across 44 professional occupations, including presentations, financial modeling, and engineering diagrams. Its coding capabilities have advanced, achieving 55.6% on SWE-Bench Pro, which evaluates real software repositories and feature requests. The model demonstrates near-perfect accuracy in long-context understanding, processing up to 256,000 tokens, enabling applications like entire contract reviews and research paper analysis. Tool use is highly reliable at 98.7% on τ2-bench Telecom, allowing agents to manage complex, multi-step workflows autonomously. Vision capabilities have dramatically improved, reducing chart and GUI errors by half, and it excels in math and science, achieving 100% on AIME 2025 and over 92% on GPQA Diamond. These advancements unlock new business opportunities in automation, research, data analysis, and professional services, positioning GPT-5.2 as a transformative tool for enterprise productivity and innovation.

According to OpenAI, GPT-5.2 Thinking is the first AI model to reach human expert-level performance on GDPval, an evaluation that measures well-specified knowledge work tasks across 44 occupations. These tasks cover practical business functions such as making presentations, creating spreadsheets, and producing other professional artifacts, highlighting GPT-5.2's practical capabilities for enterprise automation and productivity (source: OpenAI @OpenAI, Dec 11, 2025). This breakthrough demonstrates significant potential for AI-driven automation in knowledge-intensive industries, offering new business opportunities for workflow optimization and enhanced task efficiency.

According to Greg Brockman (@gdb), GPT-5 is positioned as a powerful amplifier for knowledge work, enabling enterprises to automate complex analysis, generate high-value content, and streamline decision-making processes (source: Greg Brockman, Twitter, August 10, 2025). The latest iteration of OpenAI’s generative language model expands on prior capabilities by offering more accurate information synthesis, enhanced contextual understanding, and the ability to handle specialized industry domains. This translates into significant productivity gains for professionals in fields such as legal, finance, research, and consulting. Businesses can expect reduced operational costs, faster project turnaround, and more reliable insights, driving competitive advantage in sectors rapidly adopting AI-powered automation (source: Greg Brockman, Twitter, August 10, 2025).