The average enterprise AI deployment in 2026 uses 7+ different language models. Without a Gateway, this creates a maintenance nightmare — separate integrations, inconsistent error handling, no unified monitoring, and spiraling costs.
The Core Routing Problem
Not all LLM requests are equal. A simple classification task doesn't need GPT-4o — it can be handled by a smaller, cheaper model. A complex legal analysis needs the best available model. An AI Gateway's routing engine matches each request to the optimal model based on task type, required quality, latency budget, and cost envelope.
