AWS g5g.4xlargevsAWS g6.4xlarge

g5g.4xlarge pairs 16 vCPUs with 32GB of RAM at $0.8280/hr On-Demand (about $596/mo at 24×7). g6.4xlarge pairs 16 vCPUs with 64GB at $1.3232/hr (~$953/mo). g5g.4xlarge is 60% cheaper per hour than g6.4xlarge ($0.4952/hr gap).

These are different generations of the same series. **g6.4xlarge** 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. **g5g.4xlarge** 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.

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 g5g.4xlarge and pending for g6.4xlarge. 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 g5g.4xlarge when your workload is closer to GPU-accelerated (graphics + ML inference) (graphics workloads, video transcoding, ML inference). Pick g6.4xlarge when it's closer to GPU-accelerated (graphics + ML inference) (graphics workloads, video transcoding, ML inference). 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.