The LLM Leaderboard evaluates the performance of various large language models (LLMs) in terms of code quality, security, and maintainability. The analysis is based on 4,444 distinct Java programming assignments across multiple benchmark datasets. Key metrics include pass rates, issue density, lines of code, cyclomatic complexity, and cognitive complexity. Opus 4.5 Thinking ranks first with a pass rate of 83.62% and the lowest issue density at 15.15 issues per thousand lines of code (KLOC). This model also shows substantial reliability and maintainability, making it a strong contender in this space. Following closely is Opus 4.6 Thinking, which has a pass rate of 82.38% and a slightly higher issue density of 18.33. The Gemini 3 Pro and its high variant also perform well, with pass rates above 81% but exhibit higher issue densities and complexities. Notably, while some models like Qwen 3 Coder 30B A3B have lower pass rates at 69.04%, they achieve the lowest cognitive complexity per KLOC at 83.5, indicating a different strength in handling simpler code structures. The leaderboard allows users to sort by various metrics for deeper insights. The table displays a total of 35 models, highlighting performance disparities across organizations and model versions. This analysis not only serves as a benchmark for evaluating LLM performance but also helps developers choose suitable models based on specific needs for code reliability and maintainability.