AWS m5d.8xlargevsAWS m6in.8xlarge
m5d.8xlarge
m6in.8xlarge
m5d.8xlarge vs m6in.8xlarge: how to choose
m5d.8xlarge pairs 32 vCPUs with 128GB of RAM at $1.8080/hr On-Demand (about $1302/mo at 24×7). m6in.8xlarge pairs 32 vCPUs with 128GB at $2.2277/hr (~$1604/mo). m5d.8xlarge is 23% cheaper per hour than m6in.8xlarge ($0.4197/hr gap).
These are different generations of the same series. **m6in.8xlarge** 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. **m5d.8xlarge** 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 m6in.8xlarge delivers ~121% more single-thread Sysbench score per dollar (604 vs 1336 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 (26948 vs 49471) are what to weigh. Spot pricing flips many of these comparisons — when m5d.8xlarge drops to $0.6423/hr and m6in.8xlarge drops to $0.7747/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick m5d.8xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m6in.8xlarge 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.
On-Demand Price Comparison
Monthly trajectory
Spot Price Comparison
30-Day daily trajectory