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Five Enterprise AI Gateways That Lead Multi-Model Routing in 2026

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As enterprise AI deployments grow more complex, AI gateways have become critical infrastructure that sits between applications and multiple LLM providers, centralizing routing, governance, and observability. No single model can optimally balance cost, speed, and capability for every task, making multi-model routing strategies essential for production systems. Bifrost leads for high-performance, self-hosted or in-VPC deployments, while LiteLLM is favored for its broad provider support in open-source environments. Kong, Cloudflare, and Vercel serve teams already embedded in their respective ecosystems, offering AI routing at the API or edge layer. Key evaluation criteria for enterprises include routing strategy, deployment model, latency overhead, governance controls, and observability features.

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Five Enterprise AI Gateways That Lead Multi-Model Routing in 2026 · ShortSingh