llmrun

Apple · M3 Ultra · Desktop

Best AI Models for Mac Studio (M3 Ultra, 256GB)

Runs 27–31B and 120B MoE models well; dense 70B fits but is slow at 12 tok/s.

256 GB unified252.5 GB for models819 GB/s66 TFLOPS FP16270 W2025
Buyabout $7,099

What LLMs can the Mac Studio (M3 Ultra, 256GB) run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 186.5 GB · 39.5 t/s
39.5 tok/sQ4_K_M · 186.5 GB
2
Q4_K_M · 183.0 GB · 26.8 t/s
26.8 tok/sQ4_K_M · 183.0 GB
3
Q4_K_M · 205.2 GB · 35.3 t/s
35.3 tok/sQ4_K_M · 205.2 GB
4
Q4_K_M · 17.9 GB · 32.9 t/s
32.9 tok/sQ4_K_M · 17.9 GB
5
Hy3Tencent
Q4_K_M · 182.3 GB · 26.3 t/s
26.3 tok/sQ4_K_M · 182.3 GB
See all 425 models on the Mac Studio (M3 Ultra, 256GB) →Bars = traction for models without a Score yet

About the Mac Studio (M3 Ultra, 256GB)

The Mac Studio (M3 Ultra, 256GB) runs 27–31B and 120B MoE models well. macOS keeps about 3.5 GB, leaving 252.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 9.4 s before the first word on MiMo V2.6 Flash RL. At its $7,099 MSRP it gives 10.8 tok/s per $1,000, 5th of the 6 machines compared here. M3 Ultra generation, released 2025.

For models252.5 GBmacOS keeps 3.5 GB
ChipM3 Ultrareleased 2025

Mac Studio (M3 Ultra, 256GB) strengths and weaknesses

Strengths

  • Runs 120B MoE models: GPT OSS 120B at 75.5 tok/s in 70.8 GB
  • Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 234.6 GB free

Weaknesses

  • Slow prompt reading: A 32K-token prompt on MiMo V2.6 Flash RL waits 1.3 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

252.5 GB of 256 GB
35B MoE22 GB70B51.3 GB120B MoE70.8 GB427B242 GB
120B MoE70.8 GB427B242 GB
For models 252.5 GBmacOS keeps 3.5 GBModel size at Q4

Everything on the size ladder fits. MiMo V2.6 Flash RL and Qwen3.8 27B together use 204.4 GB and leave 48.1 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 (M3 Ultra, 256GB) 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 $3,99976.6
19.2
28.4
about $3,49964.2
18.3
44.3
about $5,59975.9
13.6
25.7
about $7,09976.6
10.8
28.4
about $9,49976.6
8.1
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 $4,52576.6
16.9
28.4

Cost per token: the Mac Studio (M3 Ultra, 256GB) 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
$0.00$2.00$4.00$6.00$8.00$10.00$0$2,000$4,000$6,000$8,000$10,000$12,000$ per 1M output tokens · lower is betternew price →Mac Studio M3 Ultra · 512 GB · $9,499 MSRP · $8.01 per 1M tokensMac Studio M3 Ultra · 96 GB · $3,999 MSRP · $3.46 per 1M tokensMac Studio M2 Ultra · 192 GB · $5,599 MSRP · $4.84 per 1M tokensMac Studio M4 Max · 128 GB · $3,499 MSRP · $3.55 per 1M tokensRTX 5090 · 32 GB · ≈$5,376 · $1.71 per 1M tokensMac Studio M3 Ultra · 256 GB · $7,099 MSRP · $6.02 per 1M tokensMac Studio M3 Ultra 256 GBRTX 5090Mac Studio M3 Ultra 512 GBMac Studio M3 Ultra 96 GBMac Studio M2 Ultra 192 GBMac Studio M4 Max 128 GB
Cost per 1M output tokenson Qwen3.6 35B A3B · card over 3 years + power
$6.02
Machine, MSRP
$5.88
Power
$0.15
3-year cost of ownership$7,276
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. 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 (M3 Ultra, 256GB) tokens per second by model size

Output speed depends on memory bandwidth (819 GB/s). Grey rows need more than the 252.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    90.1tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    60.3tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    32.9tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    76.6tok/s
  5. 70BLlama 3.3 70B Instruct · Q4_K_M · 51.3 GB
    12.3tok/s
  6. 120B MoEGPT OSS 120B · Q4_K_M · 70.8 GB
    75.5tok/s

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

Ultra generations: writing vs compute

M1 Ultra → M3 Ultra
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×M1 Ultra2022M2 Ultra2023M3 Ultra2025M1 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/sCompute 2.1×Writing +1%
1×2×3×M12022M22023M32025M1 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/sCompute 2.1×Writing +1%

Writing speed follows memory bandwidth and barely moved: 75.9 to 76.6 tok/s since the M1 Ultra. Compute, which sets how fast prompts are read, grew 2.1×. Indexed to the M1 Ultra; speeds on Qwen3.6 35B A3B, same 128 GB.

All 1329 models on the Mac Studio (M3 Ultra, 256GB)

Featured only

Best quant that fits in 252.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with Mac Studio (M3 Ultra, 256GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Step3
Q4_K_M·16.1 t/s
219.1 GBB47, Decent
Huihui Qwen3.8 27B Abliterated
Q4_K_M·32.9 t/s
17.9 GBA72, Runs well
Granite Switch 4.1 30B
Q4_K_M·30.4 t/s
22.7 GBA71, Runs well
Qwen3 0.6B
Q4_K_M·659.0 t/s
1.7 GBS100, Runs great
Phonellm Alpha 1
Q4_K_M·70.3 t/s
19.3 GBS86, Runs great
Qwen3 14B
Q4_K_M·60.3 t/s
11.8 GBA84, Runs well
Q4_K_M·507.3 t/s
1.5 GBS100, Runs great
Q4_K_M·217.2 t/s
4.8 GBS100, Runs great
Q4_K_M·23.7 t/s
142.9 GBB64, Decent
MiniMax M3.1 Flash
Q3_K_M·31.6 t/s
210.5 GBA68, Runs well
MiniCPM V 4
Q4_K_M·206.2 t/s
3.1 GBS100, Runs great
Q4_K_M·807.5 t/s
0.9 GBS100, Runs great
Q4_K_M·579.1 t/s
1.3 GBS100, Runs great
Intern S2 Preview
BF16·39.7 t/s
73.2 GBA75, Runs well
Q4_K_M·1911.0 t/s
0.4 GBS100, Runs great

Mac Studio (M3 Ultra, 256GB) specs and power

Specs

Chip
M3 Ultra
CPU cores
32
GPU cores
80
Unified memory
256 GB LPDDR5
For models
252.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
819 GB/s
FP16 (dense)
65.5 TFLOPS
Neural Engine
36 TOPS
NPU
32-core Neural Engine
Power
270 W max
Size
Mac Studio
Released
2025-03-12
MSRP
$7,099

Mac Studio (M3 Ultra, 256GB) FAQ

Is the Mac Studio (M3 Ultra, 256GB) worth it for local LLMs in 2026?

At its $7,099 MSRP it gives 10.8 tok/s per $1,000 on Qwen3.6 35B A3B, 5th of the 6 machines compared here. It runs 27–31B and 120B MoE models well; dense 70B fits but is slow at 12 tok/s.

How much memory is available for AI on the Mac Studio (M3 Ultra, 256GB)?

About 252.5 GB of the 256 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the Mac Studio (M3 Ultra, 256GB) can run?

MiniMax M3 (427.0B) is the largest at 4-bit or better: at Q4_K_S it uses 242.0 GB, 96% of the available memory, and runs at about 31.8 tok/s.

Can the Mac Studio (M3 Ultra, 256GB) run MiMo V2.6 Flash RL?

Yes. MiMo V2.6 Flash RL fits at Q4_K_M, using 186.5 GB of the 252.5 GB available, and it is the best model that runs well on this machine.

How long does the Mac Studio (M3 Ultra, 256GB) take to read a long prompt?

On MiMo V2.6 Flash RL, about 9.4 s for a 4K-token prompt and 75 s for a 32K-token document before the first word appears.