Strix Halo Minisforum MS-S1 Max, 128GB vs MacBook Pro M5 Pro (16-inch), 64GB for local AI
The Minisforum MS-S1 Max, 128GB holds 33 of the 39 open models here, and the MacBook Pro M5 Pro (16-inch), 64GB holds 27. The Minisforum MS-S1 Max, 128GB costs $200 less. On Qwen3.8 27B, the strongest model both hold, the MacBook Pro M5 Pro (16-inch), 64GB is about 1.2× faster: 12 tok/s against 10, both estimated from memory bandwidth. The Minisforum MS-S1 Max, 128GB pays for itself sooner, in 50 years against 52 years at 500k tokens a day.
| Strix Halo Minisforum MS-S1 Max, 128GB | MacBook Pro M5 Pro (16-inch), 64GB | |
|---|---|---|
| Price | $3,799 | $3,999 |
| Memory | 128 GB | 64 GB |
| Usable by the GPU | 96 GB | 48 GB |
| Memory bandwidth | 256 GB/s | 307 GB/s |
| Power under load | 133 Wstand-in | 140 Wstand-in |
| Models that fit | 33 | 27 |
| Best model it runs | Qwen3.8 27B | Qwen3.8 27B |
| Speed on that model | 10 tok/s estimated | 12 tok/s estimated |
| Pay-back on that model | Pays back in 50 years | Pays back in 52 years |
Neither power figure above is measured on the machine beside it. Both are stand-ins borrowed from the nearest hardware the data does have, so the gap between them is not a difference between these two machines. Each machine's page names the figure it borrows and why. Every pay-back figure on this page prices its electricity from these numbers.
Run the numbers on the Strix Halo Minisforum MS-S1 Max, 128GB · or the MacBook Pro M5 Pro (16-inch), 64GB
The same money, two different machines
These two cost within $200 of each other: $3,799 for the Minisforum MS-S1 Max, 128GB and $3,999 for the MacBook Pro M5 Pro (16-inch), 64GB. Minisforum makes one and Apple the other. Every other head-to-head on this site holds a piece of the hardware equal and asks what the price gap buys. This one holds the price, so the row that usually carries the answer is the row the two machines agree on, and everything under it is what the same money buys twice.
How much use it takes to pay back
Everything above is at 500k tokens a day. Pay-back moves with how much you actually run, so here are both machines on Qwen3.8 27B, the strongest model both hold, at the five levels of use the calculator names. The Strix Halo Minisforum MS-S1 Max, 128GB pays back sooner at every level up to 4M tokens a day. Above that the MacBook Pro M5 Pro (16-inch), 64GB does.
| A day's use | Strix Halo Minisforum MS-S1 Max, 128GB | MacBook Pro M5 Pro (16-inch), 64GB |
|---|---|---|
| 50ka few chats a day | 497 years | 518 years |
| 200klight assistant use | 124 years | 129 years |
| 1Ma moderate coding-assistant day | 25 years | 26 years |
| 4Mheavy coding with an agent | 6.2 years | 6.5 years |
| 20Magents running most of the day | 21 monthsits ceiling | 18 monthsits ceiling |
On Qwen3.8 27B neither machine can generate 20M tokens a day: the Strix Halo Minisforum MS-S1 Max, 128GB manages at most 14.3M and the MacBook Pro M5 Pro (16-inch), 64GB at most 17.1M. Both figures on that row are for the most each can do.
Run the Strix Halo Minisforum MS-S1 Max, 128GB at 20M tokens a day · or the MacBook Pro M5 Pro (16-inch), 64GB
What the extra memory buys
The Strix Halo Minisforum MS-S1 Max, 128GB holds 6 models the MacBook Pro M5 Pro (16-inch), 64GB cannot at 32k of context. The strongest of them are what the difference in memory actually buys.
| Model | Weights | Needs at 32k | On the Strix Halo Minisforum MS-S1 Max, 128GB |
|---|---|---|---|
| Ling 3.0 flashHaiku-class | 78 GB | 82 GB | 20 tok/s estimated |
| Qwen3.5 122B-A10BHaiku-class | 78 GB | 79 GB | 20 tok/s estimated |
| gpt-oss-120bBelow every hosted tier | 63 GB | 65 GB | 35 tok/s estimated |
| Mistral Small 4 (119B-2603)Below every hosted tier | 74 GB | 75 GB | 32 tok/s estimated |
| Qwen3-Coder NextBelow every hosted tier | 48 GB | 49 GB | 54 tok/s estimated |
| Devstral 2 123BBelow every hosted tier | 75 GB | 87 GB | 2.2 tok/s estimated |
The extra memory buys context as well. Of the 27 models both machines hold at 32k, 4 run to a longer window on the Strix Halo Minisforum MS-S1 Max, 128GB: the weights are a fixed size and the KV cache is not, so what the weights leave spare is what a longer context grows into. Gemma 4 31B it reaches 256k there against 128k on the MacBook Pro M5 Pro (16-inch), 64GB, each the longest window the calculator offers that the machine still holds it at.
The Minisforum MS-S1 Max, 128GB is also head to head with another computer: Framework Desktop, 128GB · MacBook Pro M5 Pro (16-inch), 48GB.
The MacBook Pro M5 Pro (16-inch), 64GB is also head to head with another computer: Mac mini M5 Pro, 24GB · Mac Studio M5 Max, 128GB · DGX Spark, 128GB · GMKtec EVO-X2, 128GB · MacBook Air M5 (15-inch), 16GB · Beelink GTR9 Pro, 128GB. With a graphics card: RTX PRO 6000 Blackwell, 96GB · Radeon AI PRO R9700, 32GB. With the same machine at another memory size: 24GB · 48GB.
The assumptions behind both columns
Both columns use the same usage: 500k tokens a day at 15:1 input to output, 32k of context, $0.17 per kWh, and today's API prices held flat. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. Change any of it in the calculator.
More head to head: everything the Strix Halo Minisforum MS-S1 Max, 128GB runs · everything the MacBook Pro M5 Pro (16-inch), 64GB runs · every other match-up · the quickest pay-back at each level of use · every model against the frontier