Best Local LLMs for the Apple M3 Max (30-core GPU)

Written by Jakub Rusinowski · Last updated September 19, 2026

Best all-round pick: GPT-OSS 120B

The Apple M3 Max (30-core GPU) has 96 GB of unified memory, of which about 72 GB is available to a model. The largest model it can hold is GPT-OSS 120B (117B, 71.3 GB at Q4_K_M).

Best models overall on the Apple M3 Max (30-core GPU)

ModelScoreMemory at Q4_K_MContextLicence
GPT-OSS 120B96.471.3 GB128KApache-2.0
GLM-5.1 72B94.744.3 GB125KMIT
Qwen 3.5 72B94.444.3 GB125KApache 2.0
Llama 3.3 70B Instruct93.843.1 GB128KLlama Community
Cogito v1 70B92.643.1 GB128KApache-2.0
Command R+ (104B)92.663.6 GB125KCC-BY-NC

Best model by what you are doing

WorkloadRecommended on this GPU
CodingQwen3-Coder 80B-A3B (MoE) (98.6)
Qwen 3.5 72B (96.6)
Llama 3.3 70B Instruct (96.1)
General assistantGPT-OSS 120B (96.4)
GLM-5.1 72B (94.7)
Qwen 3.5 72B (94.4)
ReasoningGLM-5.1 72B (100)
Gemma 4 27B ⭐ (97.1)
Qwen 3.5 72B (96.8)
RAGLlama 4 Scout 17B (94.4)
Gemma 4 31B (94.3)
Qwen 3.6 27B (93.3)
AgentsTernary Bonsai 27B (90.4)
Nemotron-Cascade 2 30B-A3B (89.7)
Nemotron 3.5 Lightning 30B-A3B (89.3)
VisionQwen 3.5 72B (99.7)
Llama 3.2 90B Vision Instruct (97.1)
Qwen 3.7 35B-A3B (94.8)

How these numbers are calculated

FAQ

What is the best LLM for the Apple M3 Max (30-core GPU)?

GPT-OSS 120B is the strongest all-round pick that fits its 72 GB.

What is the largest model the Apple M3 Max (30-core GPU) can run?

GPT-OSS 120B — 117B parameters, needing 71.3 GB at Q4_K_M.

How much of the Apple M3 Max (30-core GPU)'s memory can a model actually use?

About 72 GB of its 96 GB, because macOS reserves a share of unified memory for the system.

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