Mac Studio M5 Max and Ultra Prices Rise to $2,499 and $5,499

Mac Studio’s price increase grows with the configuration​

Apple announced the M5 Max and M5 Ultra Mac Studio on August 25, with preorders opening that day and customer availability beginning September 22. Its published U.S. starting prices are $2,499 for M5 Max and $5,499 for M5 Ultra. The advertised 512GB unified-memory configuration has a separate schedule: Apple says it will arrive in late October.

The largest increase in Engadget’s reporting concerns a configured M5 Ultra rather than the entry-level machine. A model with a 36-core CPU, 80-core GPU, 256GB of unified memory, and a 2TB SSD costs $11,299, according to Engadget. The publication puts the launch price of the preceding M3 Ultra with a 32-core CPU, 80-core GPU, the same memory capacity, and the same storage capacity at $7,499.

That is a $3,800 increase, or approximately 51 percent. It is a useful capacity-matched comparison, although the processors differ: the newer machine has four more CPU cores and a newer architecture. It should not be described as identical hardware becoming more expensive.

Apple establishes the new starting prices; Engadget supplies the generational price comparisons and the configured-system prices. The latter have not been independently corroborated in the reporting available for this comparison.

These figures establish that the price increase becomes larger in the high-end example. They do not isolate the price of RAM: the configured Ultra also includes a processor upgrade, and there is no complete component-by-component price breakdown here. The defensible conclusion is that buyers seeking a large-memory flagship face a much steeper increase than buyers entering the Max range.

The memory squeeze reached Mac Studio before M5 Ultra​

There is independent evidence that Mac Studio memory pricing was already under pressure before this launch. On March 6, Tom’s Hardware reported that Apple had removed the M3 Ultra’s 512GB memory option and raised the 256GB upgrade price to $2,000. Ars Technica separately reported the disappearance of the 512GB configuration that day. Together, those reports establish an earlier restriction on high-capacity Mac Studio purchases, rather than merely repeating an explanation attached to the new machines.

The causal explanation needs more care. Tom’s Hardware noted that Apple had not publicly commented on the March change. Ars Technica described the broader industry pressure from manufacturers pursuing lucrative high-bandwidth memory, or HBM, for data-center AI accelerators, leaving less traditional DRAM supply available to other buyers. That is relevant market context, but it is not a disclosure of Apple’s supply contracts or a precise accounting of its costs.

For the new Mac Studio, Engadget identifies rising memory and NAND flash storage costs as the principal explanation for higher prices. Its estimates put Apple’s possible cost for 256GB of memory at roughly $2,500–$2,800, and its possible cost for 2TB of storage at $300–$500. Those are the publication’s rough industry estimates, not Apple-disclosed component costs, and no independent estimate in the available reporting confirms those particular figures.

The distinction matters to the central price question. Engadget estimates that component increases could account for roughly $2,400–$2,600 of additional cost at the high end, then considers whether Apple is protecting itself against future increases or expanding margins. Both are possible explanations, but neither follows conclusively from the retail price. Without verified purchasing costs and a fuller accounting of the machine, the remaining difference cannot simply be labeled extra profit.

There is also a basic difference between a markup and a gross margin. Gross margin measures the share of selling price left after the relevant costs; it is not the percentage added to a component bill. Applying a rumored margin target to uncertain memory estimates would produce an apparently precise answer without establishing Apple’s actual economics.

The evidence therefore supports a bounded answer: memory-market disruption is a credible contributor, and high-capacity Mac Studio configurations had already become harder or more expensive to buy. It does not support a dollar-perfect breakdown of the M5 Ultra increase.

M5 Ultra sells memory capacity as well as processing speed​

Apple’s unified memory is memory shared by the CPU and GPU. Engadget describes it as integrated into the processor package, enabling the wide connection used to deliver high bandwidth. For someone comparing workstation configurations, the important distinction is between capacity—the amount of data held in memory—and bandwidth, the rate at which that data can move.

Apple specifies up to 128GB of unified memory and 614GB/s of memory bandwidth for M5 Max. M5 Ultra reaches up to 512GB and 1.2TB/s. Those are different ceilings for different workloads, not interchangeable measures of how fast every application will run.

The capacity argument is particularly relevant to local AI. Apple positions M5 Ultra for holding large datasets and running large language models entirely on the machine. A buyer whose workload needs more than the Max’s 128GB ceiling has a concrete reason to consider Ultra, even before comparing processing benchmarks. Conversely, someone whose workload fits comfortably within the Max’s limits needs a separate performance or workflow justification for the additional spending.

There is a terminology trap in Engadget’s configuration description: the 256GB figure is unified memory, not “unified storage.” The 2TB SSD is storage. A quotation that blurs those two can obscure what the buyer is paying for: working capacity for active workloads and persistent capacity for files are separate specifications.

Apple also promotes substantial AI acceleration, including up to four times faster LLM prompt processing on M5 Ultra than M3 Ultra in LM Studio. That is a vendor performance claim for a named workload, not evidence that every model generates responses four times faster. Prompt processing, text generation, image generation, and general CPU work should not be treated as one universal “AI speed” measurement.

This is where the high price can make sense for a specific buyer without becoming a general recommendation. A machine capable of accommodating the required local workload has value that a cheaper, capacity-constrained system may not provide. Whether that capability saves enough time or operating expense to justify $11,299 remains a workload-specific decision; local execution alone does not establish that it is cheaper than cloud inference.

M5 Max keeps video work from becoming an automatic Ultra purchase​

The M5 Ultra’s most striking video specification is Apple’s claim that it can simultaneously play up to 33 streams of 8K ProRes 422 at 30 frames per second. Apple also says its Media Engine has twice the video encode and decode blocks of M5 Max. Those details provide a reason for demanding multi-stream workflows to consider Ultra, but the codec, resolution, and frame rate are essential parts of the claim.

They do not establish equivalent performance for every compressed format, effects stack, or editing project. Nor do they mean an editor working with 8K footage automatically needs Ultra. Apple explicitly positions M5 Max for demanding video work and describes hardware acceleration for H.264, HEVC, ProRes, and AV1 decoding.

Engadget recommends M5 Max configurations around $3,100–$3,600 with 48GB or 64GB of memory for many video and graphics professionals. That is the publication’s buying assessment, not a verified guarantee that those configurations suit every production. Its more useful implication is that buyers should identify what actually exceeds the Max’s capabilities before paying for the Ultra’s higher ceilings.

Clustering adds another expensive choice for AI teams. Apple says four Mac Studio systems connected through Thunderbolt 5, using remote direct memory access, can deliver up to three times the distributed AI inference performance of one system. The company describes this as a way to pool resources for larger models.

That wording is narrower than saying four computers “triple performance.” It applies to distributed AI inference, is an up to claim, and is not a promise that ordinary desktop applications will scale across the cluster. Four systems also represent four hardware purchases. A team evaluating such a setup should justify it through the model capacity or shared workload it enables, rather than assuming that clustering improves performance per dollar.

Buy Mac Studio for a demonstrated limit, not a price forecast​

Choose between M5 Max and M5 Ultra by identifying the capacity or workload requirement that the less expensive model cannot satisfy. Buyers who specifically require 512GB also have a clear reason to wait: that configuration is scheduled for late October, rather than the September 22 start of general availability.

• Use Apple’s exact U.S. starting prices of $2,499 and $5,499 when budgeting, then distinguish those entry prices from the configured system your workload requires.
• Treat Engadget’s $11,299 Ultra example as a specific 256GB, 2TB configuration, not the price of every M5 Ultra Mac Studio.
• Consider M5 Max first when the workload fits within its 128GB memory ceiling and does not require Ultra’s additional processing or media capabilities.
• Keep Apple’s performance claims tied to their stated tasks, including LM Studio prompt processing, distributed AI inference, and 8K ProRes playback.
• Do not accelerate a purchase solely because of predictions about future memory prices; the documented price increases establish past changes, not the timing or direction of the next one.

Apple’s more expensive Mac Studio makes the buying threshold sharper: high-capacity local computing now requires a larger financial commitment, especially at the Ultra end. September 22 brings the initial systems, while late October is the relevant milestone for buyers waiting on 512GB. The sound purchasing case is a workload that needs what those machines provide—not an assumed accounting of Apple’s margins or a wager that prices can only rise.