The real cost of building an LLM gateway

As AI applications scale, managing multiple large language model (LLM) integrations can become complex, prompting the need for an LLM gateway that acts as a command center for API management, observability, safety, prompt engineering, and performance. Building such a gateway involves significant technical challenges and costs, including infrastructure, development, and maintenance, which can reach up to $1.5 million and take 12–18 months, affecting time to market and potential revenue. Hidden challenges like API diversity, uptime requirements, and scalability further complicate the process, often leading to unforeseen resource consumption. In contrast, solutions like Portkey, an open-source LLM gateway, offer a cost-effective and ready-made alternative with enterprise features such as observability, safety guardrails, and multi-cloud support, allowing teams to deploy AI applications at scale without the hefty investment and delay associated with building from scratch.

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