llmrun

Apple · M5 Ultra · Desktop

Best AI Models for Mac Studio M5 Ultra (512 GB)

Runs 70–120B models well; fits models up to 822B, like Muse Spark Open 816B A42B.

512 GB unified508.5 GB for models1.2 TB/s136 TFLOPS FP162026
Buyabout $22,299

What LLMs can the Mac Studio M5 Ultra run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 359.1 GB · 46.5 t/s
46.5 tok/sQ4_K_M · 359.1 GB
2
Q4_K_M · 458.4 GB · 52.1 t/s
52.1 tok/sQ4_K_M · 458.4 GB
3
Q4_K_M · 186.5 GB · 49.8 t/s
49.8 tok/sQ4_K_M · 186.5 GB
4
Q4_K_M · 453.8 GB · 22.2 t/s
22.2 tok/sQ4_K_M · 453.8 GB
5
Hy3Tencent
Q4_K_M · 182.3 GB · 32.6 t/s
32.6 tok/sQ4_K_M · 182.3 GB
See all 443 models on the Mac Studio M5 Ultra →Bars = traction for models without a Score yet

About the Mac Studio M5 Ultra (512 GB)

The Mac Studio M5 Ultra is the fastest 512 GB machine: it runs 70–120B models well. macOS keeps about 3.5 GB, leaving 508.5 GB for models. With 136 TFLOPS it reads long prompts faster than most 512 GB machines: a 4K-token prompt takes 5.1 s. At its $22,299 MSRP it gives 3.9 tok/s per $1,000, 6th of the 6 machines compared here. M5 Ultra generation, released 2026.

Speed in 512 GB#11.2 TB/s
Prompt reading#1136 TFLOPS
For models508.5 GBmacOS keeps 3.5 GB
ChipM5 Ultrareleased 2026

Mac Studio M5 Ultra strengths and weaknesses

Strengths

  • Runs 120B MoE models: GPT OSS 120B at 89.0 tok/s in 70.8 GB
  • Room for long context: Llama 3.3 70B Instruct at Q4 uses 51.3 GB, leaving 457.2 GB free

Weaknesses

  • Slow prompt reading: A 32K-token prompt on Inkling 2 Small waits 41.0 s for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

508.5 GB of 512 GB
120B MoE70.8 GB822B461.5 GB
120B MoE70.8 GB822B461.5 GB
For models 508.5 GBmacOS keeps 3.5 GBModel size at Q4

Everything on the size ladder fits. MiMo V2.6 Flash RL and DeepSeek V4 Flash 0731 together use 369.5 GB and leave 139 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 M5 Ultra has no current new price, so it is shown at its MSRP.

MachineNew pricetok/stok/s per $1,000tok/s per 100 W
about $5,502213
38.8
37.1
about $5,49987.9
16.0
–
about $5,59975.9
13.6
25.7
about $9,49987.9
9.3
–
about $9,49976.6
8.1
28.4
about $22,29987.9
3.9
–
MachineUsed pricetok/stok/s per $1,000tok/s per 100 W
about $3,000151
50.3
33.6
about $7,000213
30.5
37.1

Cost per token: the Mac Studio M5 Ultra against 24–512 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 GB96–128 GB192+ GBthis desktopat MSRP
Cost per 1M output tokenson Qwen3.6 35B A3B · card over 3 years + power
$16.09
Machine, MSRP
$16.09
Power
not published
3-year cost of ownership$22,299

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 M5 Ultra tokens per second by model size

Output speed depends on memory bandwidth (1228 GB/s). Grey rows need more than the 508.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    135tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    90.5tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    49.3tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    87.9tok/s
  5. 70BLlama 3.3 70B Instruct · Q4_K_M · 51.3 GB
    18.5tok/s
  6. 120B MoEGPT OSS 120B · Q4_K_M · 70.8 GB
    89.0tok/s

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

Ultra generations: writing vs compute

M1 Ultra → M5 Ultra
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×4×5×M1 Ultra2022M2 Ultra2023M3 Ultra2025M5 Ultra2026M1 Ultra · 31.2 TFLOPS FP16M1 Ultra · 75.9 tok/s · 800 GB/sM2 Ultra · 54.4 TFLOPS FP16M2 Ultra · 75.9 tok/s · 800 GB/sM3 Ultra · 65.5 TFLOPS FP16M3 Ultra · 76.6 tok/s · 819 GB/sM5 Ultra · 136 TFLOPS FP16M5 Ultra · 87.9 tok/s · 1228 GB/sCompute 4.4×Writing +16%
1×2×3×4×5×M12022M22023M32025M52026M1 Ultra · 31.2 TFLOPS FP16M1 Ultra · 75.9 tok/s · 800 GB/sM2 Ultra · 54.4 TFLOPS FP16M2 Ultra · 75.9 tok/s · 800 GB/sM3 Ultra · 65.5 TFLOPS FP16M3 Ultra · 76.6 tok/s · 819 GB/sM5 Ultra · 136 TFLOPS FP16M5 Ultra · 87.9 tok/s · 1228 GB/sCompute 4.4×Writing +16%

Writing speed follows memory bandwidth and barely moved: 75.9 to 87.9 tok/s since the M1 Ultra. Compute, which sets how fast prompts are read, grew 4.4×. Indexed to the M1 Ultra; speeds on Qwen3.6 35B A3B, same 128 GB.

All 443 models on the Mac Studio M5 Ultra

Featured only

Best quant that fits in 508.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with Mac Studio M5 Ultra (512 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Qwen3 VL 4B Instruct
Q4_K_M·272.9 t/s
4.5 GBS100, Runs great
Q4_K_M·580.8 t/s
2.3 GBS100, Runs great
InternVL3 8B
Q4_K_M·164.0 t/s
7.8 GBS97, Runs great
Kimi VL A3B Instruct
Q4_K_M·126.2 t/s
10.7 GBS95, Runs great
OvisOCR3
Q4_K_M·999.5 t/s
0.9 GBS100, Runs great
Surya Ocr 2
Q4_K_M·1131.1 t/s
0.8 GBS100, Runs great
GLM 4.5 Air
Q4_K_M·50.7 t/s
67.6 GBA80, Runs well
Llama 3.2 3B Instruct
Q4_K_M·405.5 t/s
4.1 GBS100, Runs great
Moondream2
Q4_K_M·676.9 t/s
3.0 GBS100, Runs great
Q4_K_M·1719.2 t/s
0.6 GBS100, Runs great
MiniCPM OCR 1.0
Q4_K_M·760.7 t/s
1.5 GBS100, Runs great
Falcon H1 7B Instruct
Q4_K_M·170.6 t/s
6.3 GBS98, Runs great
Surya Ocr 2.5
Q4_K_M·1131.1 t/s
0.8 GBS100, Runs great
GLM 4.6
Q4_K_M·23.7 t/s
216.9 GBB64, Decent
BF16·42.2 t/s
23.1 GBA76, Runs well

Mac Studio M5 Ultra specs

Specs

Chip
M5 Ultra
CPU cores
36
GPU cores
80
Unified memory
512 GB
For models
508.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
1.2 TB/s
FP16 (dense)
136 TFLOPS
Neural Engine
76 TOPS
Released
2026-10-28
MSRP
$22,299

Mac Studio M5 Ultra FAQ

Is the Mac Studio M5 Ultra (512 GB) worth it for local LLMs in 2026?

At its $22,299 MSRP it gives 3.9 tok/s per $1,000 on Qwen3.6 35B A3B, 6th of the 6 machines compared here. It runs 70–120B models well; fits models up to 822B, like Muse Spark Open 816B A42B.

How much memory is available for AI on the Mac Studio M5 Ultra (512 GB)?

About 508.5 GB of the 512 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the Mac Studio M5 Ultra (512 GB) can run?

Muse Spark Open 816B A42B (822.0B) is the largest at 4-bit or better: at Q4_0 it uses 461.5 GB, 91% of the available memory, and runs at about 27.4 tok/s. At 3-bit, a bigger model fits too: Inkling (952.4B) at Q3_K_M, 467.9 GB.

Can the Mac Studio M5 Ultra (512 GB) run Inkling 2 Small?

Yes. Inkling 2 Small fits at Q4_K_M, using 359.1 GB of the 508.5 GB available, and it is the best model that runs well on this machine.

How long does the Mac Studio M5 Ultra (512 GB) take to read a long prompt?

On Inkling 2 Small, about 5.1 s for a 4K-token prompt and 41 s for a 32K-token document before the first word appears.