In a recent assessment of artificial intelligence capabilities, OpenAI’s ChatGPT-5.2 has demonstrated notable superiority over Google’s Gemini 3 Pro in several key benchmarks. The comparison highlights ChatGPT’s strengths in reasoning, problem-solving, and abstract thinking, showcasing its advancements in a rapidly evolving field.
Benchmark Analysis Highlights ChatGPT’s Strengths
Evaluating the performance of AI systems is complex, particularly between two leading entities like OpenAI and Google. The AI landscape is highly dynamic, with continuous updates influencing capabilities. For instance, in December 2025, speculation arose about OpenAI’s position in the AI arms race, only for the company to promptly release ChatGPT-5.2, reclaiming its lead.
One prominent benchmark, the GPQA Diamond, tests PhD-level reasoning in scientific disciplines. This benchmark is designed to assess an AI’s capability to navigate complex questions that require a deep understanding of multiple scientific concepts. In this arena, ChatGPT-5.2 scored 92.4%, edging out Gemini 3 Pro at 91.9%. For context, a typical PhD graduate would score around 65%, while the average non-expert’s score is merely 34%.
Another significant benchmark is SWE-Bench Pro, which evaluates the ability of AI systems to address real software engineering problems sourced from the GitHub platform. In this test, ChatGPT-5.2 resolved approximately 24% of the issues, compared to Gemini’s 18%. These results illustrate the challenges AI faces in matching human expertise, as human engineers achieve a 100% success rate on these tasks.
Abstract Reasoning and Future Implications
The ARC-AGI-2 benchmark, updated in March 2025, assesses an AI’s ability to apply abstract reasoning to unfamiliar scenarios. Here, ChatGPT-5.2 Pro achieved a score of 54.2%, with Gemini models scoring significantly lower. For example, Gemini 3 Pro recorded only 31.1%, highlighting ChatGPT’s edge in this area.
These benchmarks are critical in understanding the evolving capabilities of AI systems, particularly as consumer and business reliance on such technologies grows. While both ChatGPT and Gemini have areas where they excel, the results indicate that ChatGPT is currently outperforming Gemini in specific, measurable tasks.
It is essential to acknowledge that AI benchmark results are subject to rapid change. With ongoing advancements, the figures noted in this article may evolve as new versions of these models are released. The current focus on the Pro versions of both ChatGPT and Gemini allows for a more accurate comparison, as these iterations are designed for enhanced performance.
As the AI landscape continues to develop, understanding these benchmarks provides valuable insight into the capabilities of leading AI models. While ChatGPT shows strong performance in reasoning and problem-solving, Gemini also has areas of expertise, as seen in other benchmarks not covered in this article.
For consumers and businesses evaluating AI solutions, the choice may ultimately depend on specific use cases and personal preferences, particularly regarding user experience and conversational style. As the competition between these two tech giants intensifies, stakeholders will benefit from closely monitoring future advancements and benchmark results.
