AWS r5b.largevsAWS r5n.large

r5b.large pairs 2 vCPUs with 16GB of RAM at $0.1490/hr On-Demand (about $107/mo at 24×7). r5n.large pairs 2 vCPUs with 16GB at $0.1490/hr (~$107/mo). Both are priced identically per hour on-demand.

Both are generation-5 memory-optimized instances, but they run on different silicon: **r5b.large** is Intel Xeon (x86_64), **r5n.large** is Intel Xeon (x86_64). AMD variants (suffix `a`) are typically 10% cheaper than Intel siblings at comparable single-thread performance. Graviton variants (suffix `g`) are usually 20–40% cheaper but require ARM64-compatible binaries — most modern Linux stacks are fine, but verify any compiled extensions, native modules, or third-party binaries before migrating. Same vCPU/RAM ratio, same network performance class, different processor.

On raw price-per-performance, the two are roughly tied on single-thread performance per dollar (7128 vs 6919 Sysbench 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 (1584 vs 1536) are what to weigh. Spot pricing flips many of these comparisons — when r5b.large drops to $0.0478/hr and r5n.large drops to $0.0464/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick r5b.large when your workload is closer to memory-optimized (memory-bound work — in-memory databases, real-time analytics, large caches). Pick r5n.large when it's closer to memory-optimized (memory-bound work — in-memory databases, real-time analytics, large caches). 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.