LLM Routing: How to cut AI Infrastructure costs by 70% Without losing quality
Running everything on frontier models is an operational mistake. Here is the routing architecture that reduced cost per task from $8.20 to $2.44 in production GPT-5.5 costs 34x more than DeepSeek V4-Pro. 95% of your queries do not need frontier. Routing (upfront decision) and cascading (confidence-based fallback) solve different problems. Production uses both. ESKOM.ai went from $8.20 to $2.44 per completed task. Same quality. 70% cost reduction. Every week someone tells me the same thi...
Original Source
Read the full article at Dev →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.