AWS c6gd.2xlargevsAWS c7g.2xlarge
c6gd.2xlarge
c7g.2xlarge
c6gd.2xlarge vs c7g.2xlarge: how to choose
c6gd.2xlarge pairs 8 vCPUs with 16GB of RAM at $0.3072/hr On-Demand (about $221/mo at 24×7). c7g.2xlarge pairs 8 vCPUs with 16GB at $0.2900/hr (~$209/mo). c7g.2xlarge is 6% cheaper per hour than c6gd.2xlarge ($0.0172/hr gap).
These are different generations of the same series. **c7g.2xlarge** 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. **c6gd.2xlarge** 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 c7g.2xlarge delivers ~14% more single-thread Sysbench score per dollar (9128 vs 10403 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 (22178 vs 23922) are what to weigh. Spot pricing flips many of these comparisons — when c6gd.2xlarge drops to $0.0442/hr and c7g.2xlarge drops to $0.1182/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick c6gd.2xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7g.2xlarge when it's closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). 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