Can I Run Cogito v1 on Apple M3 Pro?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026

Yes, comfortably — Cogito v1 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~4.7 GB of the Apple M3 Pro's 27 GB usable memory, at ~4 tok/s (est.), with room for up to 16K context.

See what else this hardware can run →

Kup ten sprzęt Apple MacBook Pro M3 Pro — 36 GB VRAM · 30 W board powerUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/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 MacBook Pro M3 Pro
36 GB VRAM · 30 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

Apple M3 Pro Specs

VRAM36 GB unified memory
Memory Bandwidth153 GB/s

Cogito v1 32B on the Apple M3 Pro: VRAM by quantization

QuantVRAM neededFits 36 GB?Max contextWhole PC
F1666.9 GB✗ No——
Q8_036.9 GB✗ No——
Q6_K29.2 GB✗ No——
Q5_K_M25.6 GB✓ Yes8K—
Q4_K_M22.3 GB✓ Yes16K—
Q3_K_M16.6 GB✓ Yes32K—
Q2_K13.5 GB✓ Yes32K—

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 36 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 M3 Pro: 8K 22.3 GB · 32K 28.7 GB ✗ · 128K 54.5 GB ✗. Past 32K it no longer fits 36 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Cogito v1 32B on 32 GB of system RAM, CPU only: runs comfortably.

Cogito v1 Sizes That Fit the Apple M3 Pro (at 8K context)

Cogito v1 32BQ4_K_M · 22.3 GB at 8K context · ~4 tok/s (est.)
Cogito v1 14BQ4_K_M · 10.9 GB at 8K context · ~9 tok/s (est.)
Cogito v1 8BQ4_K_M · 6.7 GB at 8K context · ~15 tok/s (est.)
Cogito v1 3BQ4_K_M · 3.6 GB at 8K context · ~33 tok/s (est.)
Won't fit — rent Cogito v1 instead

Cogito v1 needs ~22 GB but this GPU has 36 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

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

Is the Apple M3 Pro enough to run Cogito v1 locally?

Yes, comfortably — Cogito v1 32B at Q4_K_M needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), leaving ~4.7 GB of the Apple M3 Pro's 27 GB usable memory, at ~4 tok/s (est.), with room for up to 16K context.

What's the best Cogito v1 size for the Apple M3 Pro?

Cogito v1 32B at Q4_K_M quantization needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead), estimated ~4 tokens/sec, up to 16K context.

Every Cogito v1 size on the Apple M3 Pro

SizeVRAM at 8KVerdictSpeed
Cogito v1 70B45.7 GBRuns at Q2_K—
Cogito v1 32B22.3 GBRuns~4 tok/s
Cogito v1 14B10.9 GBRuns~9 tok/s
Cogito v1 8B6.7 GBRuns~15 tok/s
Cogito v1 3B3.6 GBRuns~33 tok/s

Cogito v1 on Other GPUs

Popular Models on the Apple M3 Pro

VRAM Tier

Troubleshooting

Buying Guide

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