AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows
Factual evidence
What the source reports
Researchers introduced AgentRouter, a routing framework designed to optimize inference costs across multi-step agent trajectories.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 September 2026
- Collected by OneBench
- 23 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.22951v1 Announce Type: cross Abstract: Enterprise agentic systems that route every trajectory step to a frontier model waste 60-80% of their inference budget on subtasks…
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OneBench interpretation
Institutional assessment
So what
Dynamic model routing across multi-step agent workflows can significantly lower enterprise inference costs without degrading overall task performance.
Do what
Review architectural approaches to multi-step model routing with the team responsible for enterprise AI platform engineering.