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5 Best Model Routing Platforms for AI Agent Systems

Augment Code rounds up model routing options for agent systems - tools that decide which model to call per step to balance quality, latency, and cost.

Published 2026-05-17Source: Augment Code
Augment Code source artwork

Why it matters

Routing and fallback policies are quickly becoming the default way to control token burn in production: the cheapest capable model wins, and expensive calls are reserved for hard cases.

Tokenmaxxing read

Tokenmaxxing is architecture: add routing rules (by task, budget, confidence), cache shared context, and monitor per-agent cost curves so cost scales with difficulty, not with habit.

Source takeaway

The list positions routing layers as a control plane for multi-model stacks, highlighting policy-driven selection, evaluation hooks, and observability as key differentiators.

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