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Seven LLM Routing Tools Compared for Cost and Latency in 2026

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As production AI systems increasingly span multiple large language model providers, automated routing tools have become essential for managing costs, latency, and reliability. A 2026 review from DEV Community evaluates seven such tools, examining how each balances proxy overhead against token expenditure. Bifrost, an open-source AI gateway built in Go by Maxim AI, leads the rankings with 11-microsecond gateway overhead at 5,000 requests per second and support for dynamic routing policies. Algorithmic routers like RouteLLM reduce token costs by directing simpler prompts to smaller, cheaper models, though the classification step itself can add 15 to 150 milliseconds of latency. The choice between self-hosted gateways, algorithmic routers, and hosted aggregation APIs ultimately depends on whether an organization prioritizes ultra-low proxy latency or minimal infrastructure maintenance.

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