Even split — pick on price or use case based on available benchmark data — our tests, independent lab reports and published specs. Last updated Jul 10, 2026.
Even split — pick on price or use case. We'd pick Proxy.market for most teams that need veteran proxy seller (since 2016) with residential, isp, mobile and datacenter ips across 195 countries, from $2.1/gb and a $0.49 trial., but the right answer depends on your workload — read the full review of each below.
On the entry tier, Quantum Proxies is the lower-cost option per gigabyte. Proxy.market starts at $0.49/GB and Quantum Proxies starts at $0.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Proxy.market has the larger advertised residential pool. Proxy.market reports 22M+ residential IPs (plus 500K+ ISP, ~5M mobile, ~1.5M rotating datacenter) across 195+ countries; Quantum Proxies reports 80M+ IPs across 200+ countries (claimed) across 200+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Proxy.market edges ahead on overall success rate in the available benchmark data (our tests, independent lab reports and published specs). That said, the right choice depends on your target site mix — Proxy.market is typically picked for ["Residential" workloads, while Quantum Proxies is often chosen for Residential use cases.
Proxy.market carries the higher trust score in our directory based on documented compliance, support responsiveness, and customer-base feedback. Both offer 24/7 channels at upper plans; only Proxy.market gates dedicated account managers and Quantum Proxies gates them on enterprise tiers.
Pick Proxy.market when Veteran proxy seller (since 2016) with residential, ISP, mobile and datacenter IPs across 195 countries, from . Pick Quantum Proxies when Residential and datacenter proxy provider advertising a large multi-country IP network (80M+ IPs claimed).. Most teams that consider both end up with either based on price or specific use-case fit.
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