TeamGroup
DDR5 · 6000 MT/s · CL48 · 2×16GB
Lowest price in CA across retailers
Last updated Oct 12, 2026
TeamGroup Elite DDR5-6000 2x16GB price history in CA: current low CA$923.07, 12-month low CA$852.21, 12-month median CA$907.70.
Fair price — current price is 2% above the 3-month median.
Elite sits at the plain end of TeamGroup's desktop catalogue: an aluminium heatspreader, no lighting, and a mainstream DDR5 speed grade rather than a boutique bin. It's the brand's entry point into DDR5 rather than a kit selected for extra headroom.
The kit is 32GB as 2×16GB, DDR5 rated 6000 MT/s CL48. That speed and timing pair is only reached once XMP is switched on in the board's BIOS; on JEDEC defaults the same sticks run considerably slower, which is worth checking before assuming a listing's headline speed is what you'll actually get.
It's UDIMM for standard desktop boards, sold as 2×16GB to populate both channels a modern board expects rather than as a single-stick upgrade.
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.
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.
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.