AWS m6i.4xlargevsAWS m6in.4xlarge

m6i.4xlarge pairs 16 vCPUs with 64GB of RAM at $0.7680/hr On-Demand (about $553/mo at 24×7). m6in.4xlarge pairs 16 vCPUs with 64GB at $1.1138/hr (~$802/mo). m6i.4xlarge is 45% cheaper per hour than m6in.4xlarge ($0.3458/hr gap).

Both are generation-6 general-purpose instances, but they run on different silicon: **m6i.4xlarge** is Intel Xeon (x86_64), **m6in.4xlarge** 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 m6i.4xlarge delivers ~45% more single-thread Sysbench score per dollar (3878 vs 2675 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 (24759 vs 24778) are what to weigh. Spot pricing flips many of these comparisons — when m6i.4xlarge drops to $0.2731/hr and m6in.4xlarge drops to $0.4401/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick m6i.4xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m6in.4xlarge 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.