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Practical strategies for reducing AI API costs, comparing model pricing, and building cost-efficient LLM infrastructure.

Engineering7 min readApril 28, 2026

How Intelligent Routing Cuts LLM Costs by 60%

Most LLM API calls don't need a frontier model. We dug into our routing data and found that about 70% of requests work just fine on models that cost a fraction of the price.

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FinOps8 min readApril 22, 2026

How to Track LLM Costs by Feature, Team, and Customer

Your AI bill is not one number. It is hundreds of hidden decisions across features, teams, users, and models. Here is how to tag requests so you can see what is actually driving spend.

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Guide6 min readApril 15, 2026

What Is an LLM Proxy and Why Every AI Team Needs One

An LLM proxy sits between your app and model APIs to give you cost tracking, routing, budgets, and observability. If you're building on OpenAI, Claude, or Gemini, here's why teams are starting to use them.

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