AWS m8azn.largevsAWS m8azn.metal-24xl

m8azn.large pairs 2 vCPUs with 8GB of RAM at $0.2065/hr On-Demand (about $149/mo at 24×7). m8azn.metal-24xl pairs 96 vCPUs with 384GB at $9.9101/hr (~$7135/mo). m8azn.large is 4700% cheaper per hour than m8azn.metal-24xl ($9.7036/hr gap).

Because both instances are in the **m8azn family**, the only thing that changes between them is sizing — same silicon, same architecture (AMD EPYC (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: m8azn.large gives you 2 vCPUs and 8GB of RAM, m8azn.metal-24xl gives you 96 vCPUs and 384GB. AWS scales pricing close to linearly within a family, so picking the right size is mostly about right-sizing your workload, not getting a better deal per vCPU.

Benchmark data for at least one of these instances is still being collected, so a direct performance-per-dollar comparison isn't possible yet. Sysbench scores are 6220/12456 for m8azn.large and pending for m8azn.metal-24xl. Check back as the benchmark queue completes — newer-generation instances typically score 10–30% higher on single-thread and 15–50% higher on multi-core vs the previous generation in the same series.

In practice, pick m8azn.large when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m8azn.metal-24xl when it's closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). When neither side is obviously right, the cheaper hourly rate usually wins for fault-tolerant batch workloads, while the higher single-core score usually wins for latency-sensitive web traffic. The regional pricing tables linked from each instance page below show where each is currently cheapest — sometimes a >20% regional gap flips the comparison entirely.