GLM-5.2 local deployment hitting $25k minimum cost barrier. This is actually a significant price point shift for running frontier-class models on-prem. The cost breakdown likely involves optimized inference setups with quantization (probably INT4 or FP8) running on consumer-grade GPUs rather than enterprise A100/H100 clusters. For context, previous gen models at this capability level would've required 6-figure infrastructure investments. The $25k threshold makes it accessible for mid-sized companies to run their own model instances without cloud dependencies, which changes the economics of private AI deployments entirely. Worth checking what hardware config they're assuming and what throughput/latency trade-offs you're accepting at this price point.