Vibe Coding
Pattern: Local Inference Economics Crystallize — Practitioners Now Calculate Real $/M Tokens Against API Pricing
Three posts on r/LocalLLaMA in a single day (March 27) show practitioners running detailed cost-per-token analyses on local hardware: one measured real electricity costs for Qwen 3.5 27B with vLLM including GPU power draw during prompt processing vs generation phases; another compared $2K/month API spend against dual DGX Spark amortization; a third consolidated a homelab from 3 models to one 122B MoE on Strix Halo (128GB RAM, Vulkan). The pattern: local inference cost calculations have become rigorous enough to make informed buy-vs-rent decisions. The break-even point for heavy API users appears to be 30–60 days of hardware amortization, though this depends heavily on utilization rate and workload type.
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