OpenAI GPT-5.2-Codex (High) vs. Claude Opus 4.5 vs. Gemini 3 Pro (In Production) (www.tensorlake.ai)

In a recent comparative analysis, three leading AI coding models—OpenAI's GPT-5.2-Codex (high), Anthropic's Claude Opus 4.5, and Google's Gemini 3 Pro—were tested on real-world coding tasks. Claude Opus 4.5 emerged as the most consistent performer, delivering polished results quickly, while GPT-5.2-Codex (high) produced high-quality code but at a slower pace due to its thorough reasoning process. Gemini 3 Pro was recognized for its efficiency but lacked the depth and polish of the other two. This analysis is significant for the AI/ML community as it highlights the advancements in AI-driven coding tools and their potential for real-world applications. While models are showing improved capabilities in generating code for complex tasks, the results caution against relying solely on them for large production projects. Each model has its strengths—Claude Opus 4.5 for feature reliability, GPT-5.2-Codex for comprehensive coding quality, and Gemini 3 Pro for speed and cost-efficiency—indicating that their best use may be in augmenting human developers rather than replacing them entirely.