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Gaps between recommended and actual levels of HIV preexposure prophylaxis (PrEP) use remain among MSM. Interventions can address these gaps but it is unknown how public health initiatives should invest prevention funds into these interventions to maximize their population impact. We used a stochastic network-based HIV transmission model for MSM in the Atlanta area paired with an economic budget optimization model. The model simulated MSM participating in up to three real-world PrEP cascade interventions designed to improve initiation, a