The competition between artificial intelligence systems has intensified as recent benchmarks indicate that ChatGPT is outperforming Gemini in several key areas. Specifically, OpenAI’s latest model, GPT-5.2, has demonstrated superior reasoning and problem-solving capabilities compared to Google’s Gemini 3 Pro. This analysis focuses on three significant performance benchmarks where ChatGPT consistently excels.
Understanding the nuances of these AI systems is vital. The landscape is rapidly evolving, and performance can shift dramatically with new updates. For instance, in December 2025, speculation arose about OpenAI’s standing in the AI race. Shortly thereafter, the release of ChatGPT-5.2 propelled it back to the forefront of the industry. As both systems have now reached advanced levels of functionality, direct comparisons can be complex and often misleading.
Benchmarking Performance: Key Areas of Comparison
To evaluate the performance of these AI systems, experts often rely on specific benchmarks that assess reasoning, logic, and problem-solving skills. Here, we highlight three benchmarks where ChatGPT has shown notable advantages.
The first benchmark is GPQA Diamond, which tests PhD-level reasoning in the sciences. This benchmark, which stands for Google-Proof Questions and Answers, includes complex questions that require multi-faceted reasoning rather than simple factual recall. In this test, ChatGPT scored 92.4%, just ahead of Gemini 3 Pro’s 91.9%. For context, a PhD graduate is expected to score around 65%, while non-experts average 34%. This demonstrates ChatGPT’s capacity for advanced scientific reasoning.
Another critical area is software engineering, assessed through the SWE-Bench Pro (Private Dataset) benchmark. This test evaluates an AI’s ability to resolve real-world software issues from GitHub. ChatGPT-5.2 successfully resolved approximately 24% of the challenges, while Gemini managed only 18%. The private dataset used for this benchmark is particularly demanding, highlighting both AI systems’ need for further refinement to match human engineers, who achieve a resolution rate of 100% on these tasks.
The third benchmark, the ARC-AGI-2, measures intuitive visual reasoning and abstract thinking. ChatGPT-5.2 scored 54.2%, surpassing Gemini 3 Pro, which scored 31.1%. This benchmark is designed to gauge an AI’s ability to identify patterns and apply reasoning to unfamiliar problems, an area where humans typically excel.
The Future of AI Benchmarking
The performance metrics presented here are subject to change as both OpenAI and Google continue to refine their models. The benchmarks selected for this analysis showcase ChatGPT’s strengths in knowledge application, problem-solving, and abstract reasoning.
While it is essential to acknowledge that Gemini has performed better in certain other benchmarks, such as SWE-Bench Bash Only and Humanity’s Last Exam, this article focused on those where ChatGPT demonstrates clear superiority. The landscape of AI benchmarking is vast and dynamic, and many other tests exist where ChatGPT has also shown promising results.
As the competition between AI systems evolves, the emphasis on clear, actionable data is paramount. This analysis serves to highlight current capabilities rather than predict future performances, as advancements in technology can swiftly alter rankings in this rapidly changing field.
