AWS m6in.24xlargevsAWS m6in.4xlarge

m6in.24xlarge pairs 96 vCPUs with 384GB of RAM at $6.6830/hr On-Demand (about $4812/mo at 24×7). m6in.4xlarge pairs 16 vCPUs with 64GB at $1.1138/hr (~$802/mo). m6in.4xlarge is 83% cheaper per hour than m6in.24xlarge ($5.5692/hr gap).

Because both instances are in the **m6in family**, the only thing that changes between them is sizing — same silicon, same architecture (Intel Xeon (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: m6in.24xlarge gives you 96 vCPUs and 384GB of RAM, m6in.4xlarge gives you 16 vCPUs and 64GB. AWS scales pricing close to linearly within a family, so picking the right size is mostly about right-sizing your workload, not getting a better deal per vCPU.

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 pending for m6in.24xlarge and 2979/24778 for m6in.4xlarge. 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 m6in.24xlarge 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.