As enterprises rush to integrate large language models into their operations, one of the most consequential decisions they face is whether to use closed-source proprietary models like GPT-4 or open-source alternatives like Llama, Mistral, or Qwen. This choice has profound implications for cost, data privacy, customization capabilities, and long-term strategic flexibility.


