DDR4 vs DDR5, Explained
DDR5 doubled the bandwidth and moved power regulation onto the module. Whether that is worth paying for depends entirely on which platform you are building.
TeamGroup
DDR5 · 4800 MT/s · CL40 · 2×16GB
Lowest price in FR across retailers
Last updated Oct 12, 2026
TeamGroup Elite DDR5-4800 2x16GB price history in FR: current low €499.82, 12-month low €181.21, 12-month median €436.58.
Fair price — current price is 4% above the 3-month median.
Elite is TeamGroup's plain entry point into DDR5, a UDIMM kit without lighting, sold here at one speed grade across two capacities.
Both listings run 4800 MT/s CL40, so nothing about the timing changes moving from 2×16GB up to the larger pairing — and the rated speed only holds once the board's XMP or EXPO profile is actually applied, rather than by default.
At this entry-level grade, boards often run close to it natively even without a profile enabled, but it's still worth checking the BIOS setting before assuming 32GB is running at its rated number.
DDR5 doubled the bandwidth and moved power regulation onto the module. Whether that is worth paying for depends entirely on which platform you are building.
Flare X5 is a heatspreader-only DDR5-6000 line built for clearance-constrained builds, and within this 6000 MT/s grade every listing shares that one headline speed — the CL bin and capacity are the only things actually separating listings.
FURY Beast at 6000 spans three CL grades under one name plus a four-module 64GB option its 5600 sibling doesn't offer, which makes matching the exact SKU more important here than with most families.
Crucial Pro trades looks for a compatibility-first, overclocking-headroom pitch, and within this 6400 MT/s grade, CAS latency -- not the shared headline speed -- is the number that actually separates one listing from another.
16 GB is no longer comfortable, 32 GB is the sensible default, and 64 GB is a workload decision rather than a future-proofing one.
Capacity avoids stutter caused by running out of memory; speed affects how efficiently the CPU feeds data to the GPU. They solve different problems, and buying enough of the first one before spending on the second is the right order.