AWS m8i.16xlargevsAWS m8i-flex.16xlarge

m8i.16xlarge pairs 64 vCPUs with 256GB of RAM at $3.3869/hr On-Demand (about $2439/mo at 24×7). m8i-flex.16xlarge pairs 64 vCPUs with 256GB at $3.2176/hr (~$2317/mo). m8i-flex.16xlarge is 5% cheaper per hour than m8i.16xlarge ($0.1693/hr gap).

m8i.16xlarge (general-purpose, Intel Xeon (x86_64)) and m8i-flex.16xlarge (general-purpose, Intel Xeon (x86_64)) target different workload shapes. The vCPU:RAM ratios are different (64:256 vs 64:256), and depending on the architectures involved you may also see meaningful single-thread performance and per-hour-cost differences. This kind of cross-category comparison is most useful when you're early in the design phase and not yet sure whether your workload is CPU-bound, memory-bound, or balanced — once that's clear, the right pick is usually obvious.

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 3310/112060 for m8i.16xlarge and pending for m8i-flex.16xlarge. 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 m8i.16xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m8i-flex.16xlarge 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.