Stanford AI Lab: DeLM Cuts Agent Orchestration Costs
Stanford AI Lab details DeLM decentralized models delivering 10% SWE-bench gains with Gemini-3 Flash at under half the cost for coding and Q&A tasks.
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Stanford AI Lab spotlighted DeLM in a recent VentureBeat piece showing how decentralized language models orchestrate agents without any central controller. The system lifts accuracy roughly 10% on SWE-bench Verified when paired with Gemini-3 Flash while slashing inference spend by more than half on coding and multi-document Q&A workloads.
Stanford AI Lab
@StanfordAILabThe Stanford Artificial Intelligence Laboratory (SAIL), a leading #AI lab since 1963.
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