Impressive NVIDIA paper on cutting agent costs.
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Impressive NVIDIA paper on cutting agent costs. For long-horizon agent tasks, you want the capable model for the early steps and a cheaper model for the rest. Handing off in the other direction saves little or nothing. AgentBaton learns when to make that one switch from patterns in task progress. Each check has a median latency of 338 ms on one H100. Across 11 model pairs and two benchmarks, it cuts API cost by 65.9% on average while largely keeping accuracy. Some pairs gain up to 8.8 points over running the capable model alone. The handoff happens once per task, so it is easy to add to an
Posted by DAIR.AI (136.1k followers) 1 days ago · 208 likes · 11.9k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: arXiv.org.
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