GPT 5.2 still has a long way to catch up with other models of Gemini/Claude

Assessing the Evolution of AI Language Models: A Comparative Perspective on GPT-5.2, Gemini, and Claude

In the rapidly advancing landscape of artificial intelligence, language models continue to evolve at a remarkable pace. For professionals integrating AI into their daily workflows, understanding the capabilities and limitations of these models is essential. As an active user frequently leveraging AI for document creation, coding, and reasoning tasks, my experience offers some insights into how GPT-5.2 stacks up against other prominent models like Gemini and Claude.

A Journey Through the AI Models

My journey with AI began in early 2024 when I started using ChatGPT, initially with GPT-4 and its subsequent iterations. Early on, GPT delivered impressive results, but I observed that the Gemini model at that time was underwhelming and did not meet my expectations. Consequently, I relied heavily on GPT for my daily tasks.

However, the landscape shifted when Gemini released its 2.5 model. I found that version to surpass GPT in reasoning capabilities, prompting me to incorporate it into my workflow more extensively. The improved reasoning and contextual understanding made Gemini a compelling alternative, especially for complex problem-solving.

Shifting Preferences: From GPT to Gemini and Claude

The introduction of GPT-5 marked a significant milestone, driven by OpenAI’s advancements in reasoning and code generation. During this period, I transitioned back to GPT, appreciating its informational depth and versatility. Nonetheless, the release of Gemini 3.0 prompted a reassessment, leading me to completely pivot away from ChatGPT and cancel my Plus subscription. Gemini’s enhancements in document generation and logical reasoning models truly impressed me.

Evaluating Document Generation Capabilities

A critical aspect of my AI utilization is document creation. I have consistently tested these models using identical prompts across Gemini, Claude, and GPT-5.2. The results were striking: both Gemini and Claude delivered markedly better, more coherent, and detailed documents compared to GPT-5.2.

In particular, GPT-5.2 seems to be a streamlined or reduced version of GPT-5, which raises concerns about its depth and versatility. This suggests that OpenAI may need to invest further in refining GPT-5.2 to match or exceed the capabilities of its competitors.

Conclusion: The Road Ahead for GPT-5.2

While GPT-5.2 has made meaningful progress, it still lags behind the advanced reasoning, coding, and document generation performance demonstrated by Gemini and Claude.