Can I Run GPT-OSS on Apple M4 Max?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026

Yes, comfortably — GPT-OSS 120B at Q4_K_M needs 71.9 GB at 8K context (70.5 GB weights + 1.4 GB KV cache/overhead), leaving ~24.1 GB of the Apple M4 Max's 96 GB usable memory, at ~70 tok/s (est.), with room for up to 128K context.

See what else this hardware can run →

Kup ten sprzęt Apple Mac Studio M4 Max — 64 GB unified memory · 546 GB/sUruchom w chmurze NVIDIA A100 80GB w RunPod — od $1.39/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.77/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Apple Mac Studio M4 Max
64 GB unified memory · 546 GB/s
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M4 Max Specs

VRAM128 GB unified memory
Memory Bandwidth546 GB/s

GPT-OSS 120B on the Apple M4 Max: VRAM by quantization

QuantVRAM neededFits 128 GB?Max contextWhole PC
F16235 GB✗ No——
Q8_0125.5 GB✗ No——
Q6_K97.2 GB✗ No——
Q5_K_M84.2 GB✓ Yes128K—
Q4_K_M71.9 GB✓ Yes128K—
Q3_K_M51.2 GB✓ Yes128K—
Q2_K39.8 GB✓ Yes128K—

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 128 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the Apple M4 Max: 8K 71.9 GB · 32K 73.7 GB · 128K 81 GB. Every window this model publishes still fits 128 GB.

No compatible GPU? GPT-OSS 120B on 96 GB of system RAM, CPU only: runs, but it is tight.

GPT-OSS Sizes That Fit the Apple M4 Max (at 8K context)

GPT-OSS 120BQ4_K_M · 71.9 GB at 8K context · ~70 tok/s (est.)
GPT-OSS 20BMXFP4 · 12.3 GB at 8K context · ~99 tok/s (est.)
Won't fit — rent GPT-OSS instead

GPT-OSS needs ~72 GB but this GPU has 128 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:

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Vast.ai $0.77/hr · typical low · varies
Rent on Vast.ai →
RunPod $1.39/hr
Rent on RunPod →

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

FAQ

GPT-OSS on the Apple M4 Max — does it fit?

Yes, comfortably — GPT-OSS 120B at Q4_K_M needs 71.9 GB at 8K context (70.5 GB weights + 1.4 GB KV cache/overhead), leaving ~24.1 GB of the Apple M4 Max's 96 GB usable memory, at ~70 tok/s (est.), with room for up to 128K context.

Which GPT-OSS variant fits best on the Apple M4 Max?

GPT-OSS 120B at Q4_K_M quantization needs 71.9 GB at 8K context (70.5 GB weights + 1.4 GB KV cache/overhead), estimated ~70 tokens/sec, up to 128K context.

Every GPT-OSS size on the Apple M4 Max

SizeVRAM at 8KVerdictSpeed
GPT-OSS 120B71.9 GBRuns~70 tok/s
GPT-OSS 20B12.3 GBRuns~99 tok/s

GPT-OSS on Other GPUs

Popular Models on the Apple M4 Max

VRAM Tier

Troubleshooting

Buying Guide

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