How Intelligent Caching and Smart Routing Cut LLM Costs

LLM API costs are the #1 concern for teams scaling AI features. Our AI Gateway's intelligent caching, smart routing, and fallback strategies can meaningfully reduce spend -- without sacrificing quality.

A single GPT-4 Turbo call costs $0.01-$0.03 per request. At 100K requests/day, that's $1,000-$3,000 per day in API costs alone. And that's just one model -- most teams use multiple providers for different use cases.

Similarity Caching -- Our cache doesn't just match exact strings. It projects each prompt into a local lexical vector and reuses a cached completion when cosine similarity clears the threshold, so "What is the capital city of France?" and "Which city is the capital of France?" hit the same entry. It runs in-process -- no embedding-provider call, so no added latency or cost -- and the flip side of that is that it matches wording rather than meaning: a paraphrase that changes vocabulary is a miss.

Smart Routing -- Route requests to the cheapest model that meets your quality threshold. Use GPT-4 for complex reasoning, Claude for long documents, and Mistral for simple classification -- automatically.

Fallback Chains -- If your primary provider is down or rate-limited, requests automatically route to your backup. Zero downtime, zero code changes.

Start saving today -- the AI Gateway is included in EVERY plan, including Free (10,000 gateway requests/month; 1M on Pro, 5M on Team, unlimited on Enterprise).