AWS c6in.largevsAWS c7gn.large
c6in.large
c7gn.large
c6in.large vs c7gn.large: how to choose
c6in.large pairs 2 vCPUs with 4GB of RAM at $0.1134/hr On-Demand (about $82/mo at 24×7). c7gn.large pairs 2 vCPUs with 4GB at $0.1248/hr (~$90/mo). c6in.large is 10% cheaper per hour than c7gn.large ($0.0114/hr gap).
These are different generations of the same series. **c7gn.large** 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. **c6in.large** 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 c6in.large delivers ~8% more single-thread Sysbench score per dollar (26173 vs 24167 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 (3074 vs 5810) are what to weigh. Spot pricing flips many of these comparisons — when c6in.large drops to $0.0363/hr and c7gn.large drops to $0.0322/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick c6in.large when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c7gn.large 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