Mac Studio M5 Max vs. M5 Ultra Price Comparison: Which Configuration Makes Sense for AI?

M6 is Apple’s latest chip and its first built on a 2nm process. Alongside the M6, Apple has introduced the new M5 Ultra and released an updated Mac Studio powered by either the M5 Max or M5 Ultra. These machines are clearly aimed at demanding professional workloads, with a particularly strong focus on local AI training, fine-tuning, and inference.

The new Mac Studio starts at $2,499 with the M5 Max and $5,499 with the M5 Ultra, but those starting prices tell only part of the story. Depending on the CPU, GPU, unified memory, and SSD configuration, the price can climb to well over $18,000.

For anyone considering a Mac Studio for local LLMs, machine learning, development, or other AI workloads, the biggest question is not simply whether the M5 Ultra is faster. It is whether the additional compute and memory are worth the substantial jump in price.

Apple itself is positioning this generation of Mac Studio as its ultimate desktop for on-device AI. The M5 Max supports up to 128GB of unified memory and up to 614GB/s of memory bandwidth, while the M5 Ultra can scale to 512GB of unified memory and 1.2TB/s of memory bandwidth. Apple says the M5 Ultra delivers up to 4.3 times the peak AI compute performance of the previous M3 Ultra.

So, let's look at what you actually get for your money.

Mac Studio M5 Max and M5 Ultra Price Comparison

Apple officially lists the M5 Max Mac Studio starting at $2,499 and the M5 Ultra model starting at $5,499 in the United States.

The $2,499 M5 Max Is an Interesting Entry Point

The least expensive Mac Studio comes with an 18-core CPU, 32-core GPU, 36GB of unified memory, and 512GB SSD for $2,499.

For general development, creative workloads, and smaller local AI models, this is a powerful machine. But 36GB of unified memory can quickly become the limiting factor if AI is your primary reason for buying a Mac Studio.

That is important because Apple silicon uses unified memory. The CPU and GPU share the same memory pool rather than having completely separate system RAM and GPU VRAM. For local AI workloads, this architecture makes higher-memory configurations particularly interesting because large models can take advantage of memory that would be extremely difficult or expensive to obtain as dedicated GPU VRAM in a conventional workstation.

The next step up costs $3,099 and gives you a 40-core GPU and 48GB of memory. Another $400 takes the machine to 64GB for $3,499.

For someone experimenting with local AI while still wanting a reasonably priced Mac Studio, the 64GB configuration arguably represents one of the more balanced points in the lineup.

The 128GB M5 Max Is Where Things Get Interesting for Local AI

The M5 Max can be configured with 128GB of unified memory, but doing so raises the starting configuration in our comparison to $5,099 with 512GB of storage.

That is more than twice the price of the base Mac Studio.

However, this is also where the M5 Max becomes much more interesting as a dedicated local AI machine.

Apple says the M5 Max provides up to 614GB/s of unified memory bandwidth, and its 40-core GPU includes Neural Accelerators in every GPU core. Apple specifically highlights workloads including running LLMs and generating images and video locally.

Apple claims the new M5 Max can process LLM prompts in LM Studio up to 3.9 times faster than the M4 Max and up to 10.7 times faster than the M1 Max in its testing.

For AI developers, therefore, the $5,099 128GB configuration may be more meaningful than the base model.

There is also an interesting pricing decision at this level.

$5,099 M5 Max vs. $5,499 M5 Ultra

This may be the most interesting comparison in the entire Mac Studio lineup.

For $5,099, you can get:

M5 Max

• 18-core CPU

• 40-core GPU

• 128GB unified memory

• 512GB SSD

For only $400 more, the $5,499 M5 Ultra gives you:

M5 Ultra

• 30-core CPU

• 64-core GPU

• 96GB unified memory

• 1TB SSD

The trade-off is unusual.

The M5 Max gives you 32GB more unified memory, while the M5 Ultra gives you considerably more CPU and GPU resources and twice the internal storage in these particular configurations.

If your AI workloads fit comfortably within 96GB of unified memory, spending the additional $400 on the base M5 Ultra could be a much better performance investment.

If the models you intend to run require more than 96GB, however, the 128GB M5 Max becomes much more compelling.

This is one of the cases where buying based purely on the chip name would be a mistake. Memory requirements should probably be determined first, followed by compute requirements.

The $6,799 M5 Ultra Looks Like the Performance Sweet Spot

Moving from the $5,499 M5 Ultra to the $6,799 configuration gives you the fully enabled configuration shown in our table:

• 36-core CPU

• 80-core GPU

• 96GB unified memory

• 1TB SSD

That is a $1,300 premium over the entry-level M5 Ultra.

For that money, you move from a 30-core to 36-core CPU and from a 64-core to 80-core GPU.

For workloads that can stay within 96GB of memory, this is arguably one of the most interesting performance-oriented configurations.

Apple says the full M5 Ultra GPU can deliver up to 4.3x the peak AI compute performance of M3 Ultra, while its 1.2TB/s memory bandwidth is 50 percent higher than before.

The company also reports up to four times faster LLM prompt processing in LM Studio compared with the M3 Ultra in its testing.

Then Comes the Huge Jump to 256GB

The biggest pricing jump in the table occurs when moving to substantially more unified memory.

The 36-core CPU, 80-core GPU M5 Ultra with 96GB of memory and 1TB storage costs $6,799.

Moving to 256GB of unified memory while retaining 1TB of storage raises the price to $10,799.

That is a massive $4,000 increase.

For most conventional desktop workloads, spending $4,000 primarily to reach this amount of memory would be difficult to justify.

AI changes the equation.

Large language models require enormous amounts of memory, particularly when working with larger parameter counts, higher precision levels, longer context windows, or multiple models and applications simultaneously.

The attraction of a 256GB Apple silicon machine is therefore not simply having "more RAM." It is having a very large pool of high-bandwidth unified memory accessible by the GPU.

This is exactly the market Apple appears to be targeting. The company specifically says the M5 Ultra's memory architecture allows users to run massive models entirely on-device and describes the machine as suitable for AI researchers and data scientists.

Storage Gets Expensive Very Quickly

Once you reach the 256GB M5 Ultra, Apple's storage upgrades push prices even higher.

The progression in our comparison is:

Going from 1TB to 16TB therefore adds $7,500 to an already expensive workstation.

Apple has upgraded the Mac Studio's internal storage architecture as well. The new generation uses PCIe Gen 6-based SSD storage, with Apple claiming storage performance up to twice as fast as the previous generation. That can matter when loading very large LLMs and datasets.

Still, buyers focused primarily on AI should think carefully about whether expensive internal storage is the best place to allocate their budget.

If the choice is between additional unified memory and additional SSD capacity, unified memory will generally be the more consequential configuration decision for local AI, because storage can be expanded externally while unified memory cannot be upgraded after purchase.

M5 Max vs. M5 Ultra for AI

The right Mac Studio depends heavily on the size of the models you plan to use.

The M5 Max makes the most sense for developers and AI enthusiasts who want substantial local compute without entering five-figure workstation territory. Configurations with 64GB or 128GB of unified memory are particularly interesting.

The M5 Ultra makes more sense when AI is one of the machine's primary purposes and GPU compute is important. Its 80-core GPU, Neural Accelerators, and enormous memory bandwidth give it significantly more headroom.

The higher-memory M5 Ultra configurations move into a different category entirely. A 256GB Mac Studio costing $10,799 is unlikely to appeal to a typical consumer, but it could make sense for researchers, AI developers, small teams, and businesses that would otherwise rely heavily on cloud GPU infrastructure.

Apple has gone even further than individual workstation performance. Thunderbolt 5 and RDMA support allow multiple Mac Studio systems to be clustered. Apple says a four-Mac Studio cluster can deliver up to three times the AI inference performance of a single system, while creating a much larger shared memory pool for demanding open-weight models.

 

Which Mac Studio Configuration Offers the Best Value?

There is no universal winner, but the pricing creates several particularly interesting configurations.

At $2,499, the base M5 Max provides the cheapest entry into the new Mac Studio generation.

At $3,499, the 64GB M5 Max looks much better suited to developers who want to experiment seriously with local AI without spending $5,000 or more.

At $5,099, the 128GB M5 Max provides substantially more memory and could be an excellent choice when model size matters more than maximum GPU performance.

But the $5,499 base M5 Ultra creates an interesting dilemma. For just $400 more than the 128GB M5 Max, you receive significantly more CPU and GPU resources and 1TB of storage, although memory falls from 128GB to 96GB.

The $6,799 36-core CPU/80-core GPU M5 Ultra may be the most compelling choice for users whose workloads fit within 96GB and who want maximum compute performance without crossing the $10,000 mark.

Above that, the $10,799 256GB M5 Ultra is a specialized AI workstation. Its value depends almost entirely on whether your workloads can actually take advantage of that enormous unified memory pool.

Final Thoughts

The new Mac Studio is no longer simply a high-end desktop for video editors, developers, and creative professionals. Apple is explicitly positioning it as a workstation for on-device AI development and inference.

That explains some of the otherwise extraordinary configuration options.

A $2,499 Mac Studio and an $18,299 Mac Studio may share essentially the same enclosure, but they target very different workloads.

For AI users, the most important decision is likely to be unified memory first, GPU capability second, and internal storage third. Determine how much memory your models require, then choose between the M5 Max and M5 Ultra based on the amount of compute performance you need.

For many individual developers, the 64GB or 128GB M5 Max will likely provide the most sensible balance between price and AI capability. For professionals running much larger models locally, the M5 Ultra with 256GB or more unified memory is where the Mac Studio starts becoming a genuinely unusual alternative to conventional GPU workstations and recurring cloud compute.

At prices ranging from $2,499 to more than $18,000, the new Mac Studio covers an enormous range. The important question is no longer simply, "How fast of a Mac do I need?"

 

Source: Apple's Mac Studio announcement. Prices in the comparison table are based on the configurations provided above and are U.S. prices.