AWS r5dn.xlargevsAWS r8gn.xlarge

r5dn.xlarge pairs 4 vCPUs with 32GB of RAM at $0.3340/hr On-Demand (about $240/mo at 24×7). r8gn.xlarge pairs 4 vCPUs with 32GB at $0.3644/hr (~$262/mo). r5dn.xlarge is 9% cheaper per hour than r8gn.xlarge ($0.0304/hr gap).

These are different generations of the same series. **r8gn.xlarge** is the newer generation, and AWS's pattern across generations is fairly consistent: ~10–15% better single-thread, 15–30% better multi-core, and similar or modestly higher per-hour pricing — so the price/performance per dollar usually improves with each generation. **r5dn.xlarge** is still available and still works (AWS doesn't retire instance types quickly), but for new workloads the newer generation is typically the better default unless you have a specific reason to pin to the older AMI or there's a meaningful regional pricing advantage today.

On raw price-per-performance, the two are r8gn.xlarge delivers ~190% more single-thread Sysbench score per dollar (3156 vs 9138 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 (3139 vs 13159) are what to weigh. Spot pricing flips many of these comparisons — when r5dn.xlarge drops to $0.1803/hr and r8gn.xlarge drops to $0.1382/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick r5dn.xlarge when your workload is closer to memory-optimized (memory-bound work — in-memory databases, real-time analytics, large caches). Pick r8gn.xlarge 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.