llmrun

Apple · M4 Max · Desktop

Best AI Models for Mac Studio M4 Max (128 GB)

Runs 27–31B and 120B MoE models well; dense 70B fits but is slow at 8 tok/s.

128 GB unified124.5 GB for models546 GB/s34 TFLOPS FP16145 W2025
Buyabout $3,499

What LLMs can the Mac Studio M4 Max run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 17.9 GB · 21.9 t/s
21.9 tok/sQ4_K_M · 17.9 GB
2
Q4_K_M · 17.9 GB · 21.9 t/s
21.9 tok/sQ4_K_M · 17.9 GB
3
Q4_K_M · 21.7 GB · 18.7 t/s
18.7 tok/sQ4_K_M · 21.7 GB
4
Q4_K_M · 16.5 GB · 75.8 t/s
75.8 tok/sQ4_K_M · 16.5 GB
5
Q4_K_M · 19.3 GB · 70.5 t/s
70.5 tok/sQ4_K_M · 19.3 GB
See all 401 models on the Mac Studio M4 Max →Bars = traction for models without a Score yet

About the Mac Studio M4 Max (128 GB)

The Mac Studio M4 Max is a mid-range 128 GB desktop: it runs 27–31B and 120B MoE models well. Among 128 GB machines, only the M1 Ultra, M2 Ultra and M5 Max write faster. macOS keeps about 3.5 GB, leaving 124.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 33 s before the first word on Qwen3.8 27B. At its $3,499 MSRP it gives 18.3 tok/s per $1,000, 4th of the 8 machines compared here. M4 Max generation, released 2025; the newer M5 Max writes 6% faster with 2.0× the compute.

Speed in 128 GB#4546 GB/s
Prompt reading#534 TFLOPS
For models124.5 GBmacOS keeps 3.5 GB
ChipM4 Maxreleased 2025

Mac Studio M4 Max strengths and weaknesses

Strengths

  • Runs 120B MoE models: GPT OSS 120B at 61.4 tok/s in 70.8 GB
  • Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 106.6 GB free
  • Low power draw: 145 W at full load for the whole machine

Weaknesses

  • Slow on large dense models: Llama 3.3 70B Instruct at 8.2 tok/s
  • Slow prompt reading: A 32K-token prompt on Qwen3.8 27B waits 4.4 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

124.5 GB of 128 GB
35B MoE22 GB70B51.3 GB120B MoE70.8 GB127B82.8 GB
35B MoE22 GB127B82.8 GB
For models 124.5 GBmacOS keeps 3.5 GBModel size at Q4

Everything on the size ladder fits. Two 27B-class models together use 35.7 GB and leave 88.8 GB free.

Speed per dollar and per watt

On Qwen3.6 35B A3B (35B params, 3B active) at Q4_K_M. New means a shop price, either a street quote or the maker's own price; used is compared with used. The last two columns are the speed you get per $1,000 of price and per 100 W of power; higher is better. The Mac Studio M4 Max has no current new price, so it is shown at its MSRP.

MachineNew pricetok/stok/s per $1,000tok/s per 100 W
about $5,376213
39.7
37.1
about $2,69964.2
23.8
44.3
about $2,49955.2
22.1
38.1
about $3,49964.2
18.3
44.3
about $5,59975.9
13.6
25.7
DGX Spark128 GB
about $3,99954.0
13.5
22.5
about $5,39967.8
12.6
–
about $7,09976.6
10.8
28.4
MachineUsed pricetok/stok/s per $1,000tok/s per 100 W
RTX 409024 GBBest used value
about $3,000151
50.3
33.6
about $6,400213
33.3
37.1
about $2,00055.2
27.6
38.1
about $3,40064.2
18.9
44.3

Cost per token: the Mac Studio M4 Max against 24–256 GB machines and GPUs

On Qwen3.6 35B A3B (35B params, 3B active, Q4_K_M, 4K context). Speed, cost per token and power per token depend on the model.

24–36 GB48–64 GB96–128 GB192+ GBthis desktopat MSRP
Cost per 1M output tokenson Qwen3.6 35B A3B · card over 3 years + power
$3.55
Machine, MSRP
$3.46
Power
$0.09
3-year cost of ownership$3,594
Or rent an A100 in the cloud$1.26/hr

Renting costs as much as buying after ≈2,800 hours (≈1.9 years at 4 h a day).

Include card price

Each dot is a machine or GPU; hover or tap it for its numbers, click to open it. Machines without a price for the chosen basis are left out. Machines without a published power figure are left out of Per watt and costed without power. How we calculate cost per token

Similar devices and alternatives

Other memory sizes of the same machine first, then machines and GPUs people weigh against it, each with the one reason it is worth a look. Speeds on Qwen3.6 35B A3B.

Mac Studio M4 Max tokens per second by model size

Output speed depends on memory bandwidth (546 GB/s). Grey rows need more than the 124.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    60.1tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    40.2tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    21.9tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    64.2tok/s
  5. 70BLlama 3.3 70B Instruct · Q4_K_M · 51.3 GB slow
    8.2tok/s
  6. 120B MoEGPT OSS 120B · Q4_K_M · 70.8 GB
    61.4tok/s

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

Max generations: writing vs compute

M1 Max → M5 Max
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×4×5×M1 Max2022M2 Max2023M3 Max2023M4 Max2025M5 Max2026M1 Max · 15.6 TFLOPS FP16M1 Max · 54.5 tok/s · 400 GB/sM2 Max · 27.2 TFLOPS FP16M2 Max · 54.5 tok/s · 400 GB/sM3 Max · 28.7 TFLOPS FP16M3 Max · 55.2 tok/s · 409.6 GB/sM4 Max · 34.4 TFLOPS FP16M4 Max · 64.2 tok/s · 546 GB/sM5 Max · 68 TFLOPS FP16M5 Max · 67.8 tok/s · 614 GB/sCompute 4.4×Writing +24%
1×2×3×4×5×M12022M22023M32023M42025M52026M1 Max · 15.6 TFLOPS FP16M1 Max · 54.5 tok/s · 400 GB/sM2 Max · 27.2 TFLOPS FP16M2 Max · 54.5 tok/s · 400 GB/sM3 Max · 28.7 TFLOPS FP16M3 Max · 55.2 tok/s · 409.6 GB/sM4 Max · 34.4 TFLOPS FP16M4 Max · 64.2 tok/s · 546 GB/sM5 Max · 68 TFLOPS FP16M5 Max · 67.8 tok/s · 614 GB/sCompute 4.4×Writing +24%

Writing speed follows memory bandwidth and barely moved: 54.5 to 67.8 tok/s since the M1 Max. Compute, which sets how fast prompts are read, grew 4.4×. Indexed to the M1 Max; speeds on Qwen3.6 35B A3B, same 64 GB.

All 1290 models on the Mac Studio M4 Max

Featured only

Best quant that fits in 124.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with Mac Studio M4 Max (128 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
CodeLlama 7B HF
Q4_K_M·70.5 t/s
12.9 GBS86, Runs great
Falcon 7B
Q4_K_M·80.3 t/s
7.3 GBS88, Runs great
Q4_K_M·38220.0 t/s
0.2 GBS100, Runs great
Q4_K_M·8.5 t/s
49.7 GBB46, Decent
Q4_K_M·18.8 t/s
24.1 GBB58, Decent
Q4_K_M·47.4 t/s
11.0 GBA79, Runs well
Gemma 2B IT
Q4_K_M·231.6 t/s
3.5 GBS100, Runs great
GLM 4.7
IQ2_M·20.0 t/s
123.8 GBC30, Usable
Q4_K_M·70.1 t/s
6.5 GBS86, Runs great
Q4_K_M·70.9 t/s
6.2 GBS86, Runs great
Qwen 14B
Q4_K_M·40.9 t/s
10.6 GBA75, Runs well
SmolLM 135M
Q4_K_M·888.8 t/s
0.4 GBS100, Runs great
Q4_K_M·70.5 t/s
6.5 GBS86, Runs great
Q4_K_M·253.1 t/s
4.3 GBS100, Runs great
BF16·21.6 t/s
20.2 GBB62, Decent

Mac Studio M4 Max specs and power

Specs

Chip
M4 Max
CPU cores
16
GPU cores
40
Unified memory
128 GB
For models
124.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
546 GB/s
FP16 (dense)
34.4 TFLOPS
Neural Engine
38 TOPS
Power
145 W max
Released
2025-03-12
MSRP
$3,499

Mac Studio M4 Max FAQ

Is the Mac Studio M4 Max (128 GB) worth it for local LLMs in 2026?

At its $3,499 MSRP it gives 18.3 tok/s per $1,000 on Qwen3.6 35B A3B, 4th of the 8 machines compared here. It runs 27–31B and 120B MoE models well; dense 70B fits but is slow at 8 tok/s.

How much memory is available for AI on the Mac Studio M4 Max (128 GB)?

About 124.5 GB of the 128 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the Mac Studio M4 Max (128 GB) can run?

Mistral Medium 3.5 128B (127.7B) is the largest at 4-bit or better: at Q4_K_M it uses 82.8 GB, 67% of the available memory, and runs at about 4.9 tok/s. At 3-bit, a bigger model fits too: Inkling Small (266.0B) at IQ3_S, 116.2 GB.

Can the Mac Studio M4 Max (128 GB) run Qwen3.8 27B?

Yes. Qwen3.8 27B fits at Q4_K_M, using 17.9 GB of the 124.5 GB available, and it is the best model that runs well on this machine.

Can the Mac Studio M4 Max (128 GB) run 70B models?

Yes, but slowly: Llama 3.3 70B Instruct at Q4_K_M uses 51.3 GB and writes about 8.2 tok/s.

How long does the Mac Studio M4 Max (128 GB) take to read a long prompt?

On Qwen3.8 27B, about 33 s for a 4K-token prompt and 4.4 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the Mac Studio M4 Max?

An A100 (80 GB) rents from $1.26/hr. Renting costs as much as buying after ≈2,800 hours (≈1.9 years at 4 h a day).