llmrun

Apple · M1 Max · Laptop

Best AI Models for MacBook Pro 16" M1 Max (32 GB)

Runs 27–35B models well; 70B doesn't fit in 28.5 GB.

32 GB unified28.5 GB for models400 GB/s21 TFLOPS FP162021
Memory
32 GB64 GB
Same chip in
MacBook Pro 16"Mac StudioMacBook Pro 14"

Top models by task

#ModelSpeed ↓llmrun ScoreQuant · Memory
1
GPT OSS 20BOpenAIHow to run →
Q4_K_M · 13.1 GB
71.2 tok/sQ4_K_M · 13.1 GB
2
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA
Q4_K_M · 19.3 GB
64.3 tok/sQ4_K_M · 19.3 GB
3
Gemma 4 26B A4B ITGoogle
Q4_K_M · 16.5 GB
63.2 tok/sQ4_K_M · 16.5 GB
4
Qwen3 30B A3B Thinking 2507Alibaba
Q4_K_M · 19.4 GB
59.0 tok/sQ4_K_M · 19.4 GB
5
Qwen3 30B A3B Instruct 2507Alibaba
Q4_K_M · 19.4 GB
59.0 tok/sQ4_K_M · 19.4 GB
See all 311 models on the MacBook Pro 16" M1 Max →Bars = traction for models without a Score yet
Task rankings use that task's benchmarks, topped up from Overall when short; bars mark well-known models with no Score yet.

About the MacBook Pro 16" M1 Max (32 GB)

The MacBook Pro 16" M1 Max is the fastest 32 GB machine: it runs 27–35B models well. macOS keeps about 3.5 GB, leaving 28.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 55 s before the first word on Qwen3.8 27B. M1 Max generation, released 2021; the newer M2 Max writes 0% faster with 1.3× the compute.

Speed in 32 GB#1400 GB/s
Prompt reading#421 TFLOPS
For models28.5 GBmacOS keeps 3.5 GB
ChipM1 Maxreleased 2021

MacBook Pro 16" M1 Max strengths and weaknesses

Strengths

  • Runs 35B MoE models: Qwen3.6 35B A3B at 54.5 tok/s in 22 GB
  • Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 10.6 GB free

Weaknesses

  • 70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 28.5 GB usable here
  • Slow prompt reading: A 32K-token prompt on Qwen3.8 27B waits 7.3 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

28.5 GB of 32 GB
9B6.6 GB14B11.9 GB27–31B17.9 GB35B MoE22 GB
9B6.6 GB14B11.9 GB35B MoE22 GB
For models 28.5 GBmacOS keeps 3.5 GBModel size at Q4

70B models need 51.3 GB at Q4, more than the 28.5 GB available. The 64 GB config fits Gemma 4 31B IT →

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.

Same chip, 2× the memoryMacBook Pro 16" M1 Max (64 GB)Apple · 60.5 GB for models · M1 Max
same speed▲ 32 GBno price
Same familyNewer machine, 57% slowerMac Mini M4 (32 GB)Apple · 28.5 GB for models · M4
▼ 57% speedsame memoryabout $999
Newer machine, as fastMac Studio M4 Max (36 GB)Apple · 32.5 GB for models · M4 Max
same speed▲ 4 GBabout $2,499
Newer laptop, 48% slowerMacBook Pro 14 M5Apple · 24 GB for models · M5
▼ 47% speed▼ 4.5 GBabout $1,839
Reads prompts 18× faster, 24 GB for modelsRTX 4090NVIDIA · 24 GB VRAM · GPU
▲ 18× prompts▲ 177% speed▼ 4.5 GBabout $1,599rent $0.34/hr
Reads prompts 23× faster, 32 GB for modelsRTX 5090NVIDIA · 32 GB VRAM · GPU
▲ 23× prompts▲ 291% speed▲ 3.5 GBabout $5,376rent $0.69/hr

MacBook Pro 16" M1 Max tokens per second by model size

Output speed depends on memory bandwidth (400 GB/s). Grey rows need more than the 28.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    44.0tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    29.5tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    16.1tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    54.5tok/s
  5. 70BLlama 3.3 70B Instruct · does not fit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · does not fit
    needs 70.8 GB

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×M1 Max2021M2 Max2023M3 Max2023M4 Max2024M5 Max2026M1 Max · 20.8 TFLOPS FP16M1 Max · 54.5 tok/s · 400 GB/sM2 Max · 27.2 TFLOPS FP16M2 Max · 54.5 tok/s · 400 GB/sM3 Max · 21.5 TFLOPS FP16M3 Max · 45.9 tok/s · 300 GB/sM4 Max · 25.8 TFLOPS FP16M4 Max · 55.2 tok/s · 409.6 GB/sM5 Max · 54.4 TFLOPS FP16M5 Max · 58.8 tok/s · 460 GB/sCompute 2.6×Writing +8%
1×2×3×M12021M22023M32023M42024M52026M1 Max · 20.8 TFLOPS FP16M1 Max · 54.5 tok/s · 400 GB/sM2 Max · 27.2 TFLOPS FP16M2 Max · 54.5 tok/s · 400 GB/sM3 Max · 21.5 TFLOPS FP16M3 Max · 45.9 tok/s · 300 GB/sM4 Max · 25.8 TFLOPS FP16M4 Max · 55.2 tok/s · 409.6 GB/sM5 Max · 54.4 TFLOPS FP16M5 Max · 58.8 tok/s · 460 GB/sCompute 2.6×Writing +8%

Writing speed follows memory bandwidth and barely moved: 54.5 to 58.8 tok/s since the M1 Max. Compute, which sets how fast prompts are read, grew 2.6×. Indexed to the M1 Max; speeds on Qwen3.6 35B A3B, same 32 GB.

All 311 models on the MacBook Pro 16" M1 Max

Featured only

Best quant that fits in 28.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with MacBook Pro 16" M1 Max (32 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Qwen3.8 27B
27.8B·Q4_K_M·16.1 t/s·262K ctx
17.9 GBB56, Decent
Qwen3.6 35B A3B
36.0B·Q4_K_M·54.5 t/s·262K ctx
22.0 GBA81, Runs well
Gemma 4 26B A4B IT
25.8B·Q4_K_M·63.2 t/s·262K ctx
16.5 GBA84, Runs well
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16
31.6B·Q4_K_M·64.3 t/s·262K ctx
19.3 GBA84, Runs well
Muse Glimmer 30B
29.8B·Q4_K_M·15.3 t/s·131K ctx
19.6 GBB55, Decent
GLM 4.7 Flash
31.2B·Q4_K_M·50.4 t/s·203K ctx
19.9 GBA80, Runs well
Gemma 4 31B IT
31.3B·Q4_K_M·13.7 t/s·262K ctx
21.7 GBB53, Decent
JEV 27B VL
27.8B·Q4_K_M·16.1 t/s·262K ctx
17.9 GBB56, Decent
GPT OSS 20B
20.9B·Q4_K_M·71.2 t/s·131K ctx
13.1 GBS86, Runs great
Ornith 1.5 35B A3B
36.0B·Q4_K_M·54.5 t/s·262K ctx
22.0 GBA81, Runs well
MiniCPM5 2B
2.5B·Q4_K_M·147.4 t/s·131K ctx
2.5 GBS97, Runs great
Qwen3.5 9B
9.7B·Q4_K_M·44.0 t/s·262K ctx
6.6 GBA77, Runs well
Ling 3.0 Tiny
7.9B·Q4_K_M·122.9 t/s·131K ctx
5.5 GBS95, Runs great
Ornith 1.0 35B
35.1B·Q4_K_M·60.6 t/s·262K ctx
21.5 GBA84, Runs well
Qwen3.6 27B
27.8B·Q4_K_M·16.1 t/s·262K ctx
17.9 GBB56, Decent

MacBook Pro 16" M1 Max specs

Specs

Chip
M1 Max
CPU cores
10
GPU cores
32
Unified memory
32 GB
For models
28.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
400 GB/s
FP16 (dense)
20.8 TFLOPS
Neural Engine
11 TOPS
Released
2021-10-26

MacBook Pro 16" M1 Max FAQ

How much memory is available for AI on the MacBook Pro 16" M1 Max (32 GB)?

About 28.5 GB of the 32 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the MacBook Pro 16" M1 Max (32 GB) can run?

Qwen3.6 35B A3B (36.0B) at Q4_K_M uses 22.0 GB, 77% of the available memory, and runs at about 54.5 tok/s.

Can the MacBook Pro 16" M1 Max (32 GB) run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 28.5 GB available.

How long does the MacBook Pro 16" M1 Max (32 GB) take to read a long prompt?

On Qwen3.8 27B, about 55 s for a 4K-token prompt and 7.3 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the MacBook Pro 16" M1 Max?

An RTX PRO 4500 Blackwell (32 GB) rents from $0.34/hr.

24 GB GPUsAll MacsLaptopsMac Studio M2 MaxMacBook Pro 14" M2 MaxMacBook Pro 16" M2 MaxJetson AGX Orin 32GBMacBook Pro 16" M4 MaxBest coding LLMsAll hardware