Still Picking API vs Local LLM by Gut Feeling? A Framework With Real Benchmarks

The article presents a structured 5-axis decision framework for choosing between API-based LLMs and local LLMs, backed by real benchmarks on RTX 4060 and M4 Mac mini hardware. It argues that by 2026, local models like Qwen2.5-14B have crossed a quality threshold while API pricing from Gemini 2.0 Flash and Claude 3.5 Haiku has dropped dramatically, collapsing the old cost-quality tradeoff. The framework evaluates choices across data confidentiality, volume economics, and other axes with concrete cost calculations.