GPT-5.1 vs Gemini vs LLaMA 3: Decoding the Behavioral Differences in Top AI Models

For all the noise surrounding large language models—their records, their parameter counts, their “next breakthroughs”—the real story often emerges only when we ask a quieter, more grounded question: What happens when we sit down and actually work with them? The document you provided captures this question with unusual clarity. Rather than treating GPT-5.1, Gemini, and LLaMA 3 as abstract technological achievements, it examines them as tools—fallible, idiosyncratic, and surprisingly distinct in the way they reason, respond, and sustain thought. This article reorganizes that analysis into a magazine-style narrative. No external data has been added. Every observation comes strictly from the …