AWS m5zn.3xlargevsAWS m5zn.large

m5zn.3xlarge pairs 12 vCPUs with 48GB of RAM at $0.9910/hr On-Demand (about $714/mo at 24×7). m5zn.large pairs 2 vCPUs with 8GB at $0.1652/hr (~$119/mo). m5zn.large is 83% cheaper per hour than m5zn.3xlarge ($0.8258/hr gap).

Because both instances are in the **m5zn family**, the only thing that changes between them is sizing — same silicon, same architecture (Intel Xeon (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: m5zn.3xlarge gives you 12 vCPUs and 48GB of RAM, m5zn.large gives you 2 vCPUs and 8GB. 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.

On raw price-per-performance, the two are m5zn.large delivers ~489% more single-thread Sysbench score per dollar (1554 vs 9159 points per $1/hr). That's the cleanest signal we have for "which one runs your workload faster per dollar," but it only matters if your workload is single-thread-bound; for parallel workloads the multi-core scores (14197 vs 2273) are what to weigh. Spot pricing flips many of these comparisons — when m5zn.3xlarge drops to $0.3937/hr and m5zn.large drops to $0.0403/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick m5zn.3xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m5zn.large 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.