SubLimetechie's comprehensive report analyzes numerous global large language models (LLMs), contrasting their backend architectures, reliability measures, scalability, training data, and performance. The analysis spans proprietary models like GPT-4 and Claude 3.5 to open-source options such as Llama 3.2 and Falcon 180B, also including regional leaders. The report helps understand the strengths and weaknesses of each LLM for various applications, ultimately guiding users in selecting the most suitable model based on their specific requirements.