Open-weight models now make up 29% of production AI volume, and price per token has flattened — a signal that logistics teams can choose local or hosted without a huge cost penalty.
The brief
As open models close the capability gap, operators can run smaller workloads on-premise or in regional clouds for latency, compliance, and resilience.
Takeaway
Evaluate whether sensitive logistics data (PODs, carrier rates, customer contracts) can be processed by open-weight models behind your own infrastructure.
Why it matters for logistics
Run document parsing and classification on open models inside your VPC or regional cloud to keep data residency without sacrificing quality.
Read the original at Vercel
https://vercel.com/blog/ai-gateway-production-index-july-2026