Save Up to 90% on AI Costs: Open Source vs. Vendor LLMs

A recent discussion on the financial benefits of using open-source large language models (LLMs) like DeepSeek over proprietary models like GPT4o has sparked interest in cost-saving frameworks. The conversation highlights that businesses could potentially save up to 90% by opting for open-source solutions. This significant cost reduction is attributed to the absence of licensing fees and the flexibility of open-source models. However, the choice involves considering factors like performance, customization, and support. While open-source LLMs offer lower costs, they might require more in-house expertise for maintenance and optimization. On the other hand, vendor-provided models come with support and regular updates but at a higher price. The discussion emphasizes the need for a comprehensive framework to evaluate these trade-offs, focusing on both immediate savings and long-term operational costs.

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