Inside The Machine
Mac desktop · current · data 2026-10-15

Mac Studio (M5 Max) for local AI.

With 128 GB it runs Qwen3.8 27B (needs 22.7 GB). 90 models fit. Published speed: gpt-oss-120b at 78.2 tokens/sec.

Memory36 / 48 / 64 / 128 GB

Shared between CPU and graphics.

Bandwidth614 GB/s

Higher means faster answers. 460 GB/s on 32-core GPU (36GB only); 614 GB/s on 40-core GPU (48/64/128GB).

PriceFrom about $2,499

As of 2026-10-15. Check before buying.

Which models fit

By memory option.

Usable: 75% on Macs and shared-memory PCs, VRAM minus 1 GB on graphics cards (estimates).
MemoryUsableModels that fitBest three
36 GB27 GB67Qwen3.8 27B (22.7 GB), Qwen3.5 27B (21.5 GB), Qwen3.6 27B (21.5 GB)
48 GB36 GB76Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB)
64 GB48 GB77Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB)
128 GB96 GB90Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB)
Speed

Published speeds.

Measured by others, with sources. Not our tests.

ModelTokens/secEngineSetupSource
gpt-oss-120b78.2oMLX v0.3.9 · MXFP4-Q8 (MLX)M5 Max 40c, 128GBcommunity-measured · 2026-10-15
gpt-oss-120b70.5oMLX v0.3.9 · MXFP4-Q8 (MLX)M5 Max 40c, 128GBcommunity-measured · 2026-10-15
Questions

Short answers.

What is the best local LLM for the Mac Studio (M5 Max)?
With 128 GB, Qwen3.8 27B (needs 22.7 GB, AA 33.7). 90 of 124 models fit. With 36 GB: Qwen3.8 27B.
How fast is the Mac Studio (M5 Max) for local AI?
Published: gpt-oss-120b at 78.2 tokens/sec (oMLX v0.3.9, M5 Max 40c, 128GB); gpt-oss-120b at 70.5 tokens/sec (oMLX v0.3.9, M5 Max 40c, 128GB). These are other people's measurements, not ours.
How much does the Mac Studio (M5 Max) cost?
From about $2,499 (as of 2026-10-15). 2026 prices are inflated by the memory-chip shortage; check before buying.

Specs from Apple – Mac Studio tech specs (2026-10-15). Prices are approximate and dated; 2026 prices are inflated by the memory-chip shortage.

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# Mac Studio (M5 Max) for local AI

URL: https://insidethemachine.ai/machines/mac-studio-m5-max
Type: Mac desktop. Chip: M5 Max (32- or 40-core GPU). Memory: unified, options 36, 48, 64, 128 GB. Bandwidth: 614 GB/s (460 GB/s on 32-core GPU (36GB only); 614 GB/s on 40-core GPU (48/64/128GB).). Spec source: https://www.apple.com/mac-studio/specs/ (2026-10-15).
Price: from about $2,499 (2026-10-15, approximate). Status: current.

## Which models fit

| memory GB | usable GB | models that fit | best 3 |
|---|---|---|---|
| 36 | 27 | 67 | Qwen3.8 27B (22.7 GB), Qwen3.5 27B (21.5 GB), Qwen3.6 27B (21.5 GB) |
| 48 | 36 | 76 | Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB) |
| 64 | 48 | 77 | Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB) |
| 128 | 96 | 90 | Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB), Qwen3.5 27B (21.5 GB) |

## Published speeds (not our tests)

- gpt-oss-120b: 78.2 tok/s decode, 727.4 tok/s prompt (oMLX v0.3.9, MXFP4-Q8 (MLX), M5 Max 40c, 128GB, community-measured) https://omlx.ai/benchmarks/dgadv0k9 (2026-10-15)
- gpt-oss-120b: 70.5 tok/s decode, 1576 tok/s prompt (oMLX v0.3.9, MXFP4-Q8 (MLX), M5 Max 40c, 128GB, community-measured) https://omlx.ai/benchmarks/dgadv0k9 (2026-10-15)

Notes: Ryan's planned machine: 128GB config. 128GB requires the 40-core GPU chip.

## Questions

**What is the best local LLM for the Mac Studio (M5 Max)?**
With 128 GB, Qwen3.8 27B (needs 22.7 GB, AA 33.7). 90 of 124 models fit. With 36 GB: Qwen3.8 27B.

**How fast is the Mac Studio (M5 Max) for local AI?**
Published: gpt-oss-120b at 78.2 tokens/sec (oMLX v0.3.9, M5 Max 40c, 128GB); gpt-oss-120b at 70.5 tokens/sec (oMLX v0.3.9, M5 Max 40c, 128GB). These are other people's measurements, not ours.

**How much does the Mac Studio (M5 Max) cost?**
From about $2,499 (as of 2026-10-15). 2026 prices are inflated by the memory-chip shortage; check before buying.