The verdict
Even split — pick on price or use case. We'd pick Proxyma for most teams that need hong kong-based residential, isp and static proxy provider advertising 60m+ ips across 190+ countries from $5/mo., but the right answer depends on your workload — read the full review of each below.
Proxyma vs Quantum Proxies — frequently asked
Which is cheaper, Proxyma or Quantum Proxies?
On the entry tier, Quantum Proxies is the lower-cost option per gigabyte. Proxyma starts at $5.00/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.
Which has a bigger IP pool, Proxyma or Quantum Proxies?
Proxyma has the larger advertised residential pool. Proxyma reports 60M+ residential IPs (vendor-claimed) across 190+ 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.
Which is better for web scraping, Proxyma or Quantum Proxies?
Proxyma 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 — Proxyma is typically picked for ["Residential" workloads, while Quantum Proxies is often chosen for Residential use cases.
Which has better support and SLA, Proxyma or Quantum Proxies?
Proxyma 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 Proxyma gates dedicated account managers and Quantum Proxies gates them on enterprise tiers.
Should I pick Proxyma or Quantum Proxies in 2026?
Pick Proxyma when Hong Kong-based residential, ISP and static proxy provider advertising 60M+ IPs across 190+ countries from $5/. 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.