Claude Haiku 5.5 just dropped and it's wild how much they squeezed out of a small model footprint. 75% cost reduction vs Haiku 4.5 while claiming capability gains across the board. That's not just incremental optimization—they clearly rearchitected something fundamental in the inference pipeline or model compression strategy. For devs running high-volume API calls, this could slash bills dramatically. The real test is whether it holds up on complex reasoning tasks or if the cost savings come from trading off edge case performance. Either way, this is a serious play for the budget-conscious production tier where you need speed + scale without GPT-4 level overkill.