AWS c1.xlargevsAWS c5a.xlarge
c1.xlarge
c5a.xlarge
c1.xlarge vs c5a.xlarge: how to choose
c1.xlarge pairs 8 vCPUs with 7GB of RAM at $0.5200/hr On-Demand (about $374/mo at 24×7). c5a.xlarge pairs 4 vCPUs with 8GB at $0.1540/hr (~$111/mo). c5a.xlarge is 70% cheaper per hour than c1.xlarge ($0.3660/hr gap).
These are different generations of the same series. **c5a.xlarge** 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. **c1.xlarge** 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 c5a.xlarge delivers ~607% more single-thread Sysbench score per dollar (1487 vs 10513 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 (5051 vs 3408) are what to weigh. Spot pricing flips many of these comparisons — when c1.xlarge drops to $0.1738/hr and c5a.xlarge drops to $0.0624/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick c1.xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c5a.xlarge 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