Can I Run DeepSeek-R1-Distill-Qwen-32B on Apple M2 Pro?

Superseded model. DeepSeek R1 has been superseded by DeepSeek V4. This page is kept for reference; the newer family is a better starting point. View DeepSeek V4 →

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

These figures are for DeepSeek-R1-Distill-Qwen-32B, a distill of Qwen2.5-32B — not the full DeepSeek R1. The full DeepSeek R1 (671B) needs about 405 GB of weights at Q4_K_M and is a different model.

Yes, comfortably — you'll have ~12.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~5 tok/s (est.)) with room for up to 32K context.

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Apple Mac mini M2 Pro
32 GB VRAM · 30 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M2 Pro Specs

VRAM32 GB unified memory
Memory Bandwidth200 GB/s

DeepSeek R1 Distill Qwen 32B on the Apple M2 Pro: VRAM by quantization

QuantVRAM neededFits 32 GB?Max context
F1665.9 GB✗ No
Q8_035.9 GB✗ No
Q6_K28.1 GB✓ Yes16K
Q5_K_M24.6 GB✓ Yes16K
Q4_K_M21.2 GB✓ Yes32K
Q3_K_M15.5 GB✓ Yes64K
Q2_K12.4 GB✓ Yes64K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

DeepSeek R1 Sizes That Fit the Apple M2 Pro

DeepSeek R1 Distill Qwen 32BQ4_K_M · 19.32 GB · ~5 tok/s (est.)
DeepSeek R1 Distill Qwen 14BQ4_K_M · 8.4525 GB · ~12 tok/s (est.)
DeepSeek R1 Distill Llama 8BQ4_K_M · 4.83 GB · ~19 tok/s (est.)
Buy vs. rent DeepSeek-R1-Distill-Qwen-32B
Buy the GPU
~$1,999
Apple M2 Pro · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Does the Apple M2 Pro have enough VRAM for DeepSeek R1?

Yes, comfortably — you'll have ~12.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~5 tok/s (est.)) with room for up to 32K context.

Which quantization of DeepSeek R1 should I use on the Apple M2 Pro?

DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization (19.32 GB), estimated ~5 tokens/sec, up to 32K context.

Every DeepSeek R1 size on the Apple M2 Pro

SizeVRAMVerdictSpeed
DeepSeek R1 (671B)405.1 GBDoes not fit
DeepSeek R1 Distill Qwen 14B8.5 GBRuns~12 tok/s
DeepSeek R1 Distill Llama 8B4.8 GBRuns~19 tok/s

DeepSeek R1 on Other GPUs

Popular Models on the Apple M2 Pro

VRAM Tier

Troubleshooting

Buying Guide

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