Apple Mac Studio (2025) (M4 Max or M3 Ultra)

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Apple Mac Studio (2025) (M4 Max or M3 Ultra)

Chips
Apple M4 Max or Apple M3 Ultra
Unified memory
36, 48, 64, 96, 128, 256 or 512 GB
Launch price
$1,999–$9,499
Released
2025

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration Memory Usable for AI Bandwidth LLMs that run well Launch price
Apple M4 Max · 14-core CPU, 32-core GPU 36.0 GB 24.1 GB 410 GB/s 462 of 622 $1,999
Apple M4 Max · 16-core CPU, 40-core GPU 48.0 GB 36.0 GB 546 GB/s 491 of 622 $2,499
Apple M4 Max · 16-core CPU, 40-core GPU 64.0 GB 48.0 GB 546 GB/s 504 of 622 —
Apple M3 Ultra · 28-core CPU, 60-core GPU 96.0 GB 72.0 GB 819 GB/s 525 of 622 $3,999
Apple M3 Ultra · 32-core CPU, 80-core GPU 96.0 GB 72.0 GB 819 GB/s 525 of 622 $5,499
Apple M4 Max · 16-core CPU, 40-core GPU 128 GB 96.0 GB 546 GB/s 533 of 622 —
Apple M3 Ultra · 28-core CPU, 60-core GPU 256 GB 192 GB 819 GB/s 576 of 622 —
Apple M3 Ultra · 32-core CPU, 80-core GPU 256 GB 192 GB 819 GB/s 576 of 622 —
Apple M3 Ultra · 32-core CPU, 80-core GPU 512 GB 384 GB 819 GB/s 600 of 622 $9,499

Specifications 36.0 GB configuration

MakerApple
TypeDesktop
ChipApple M4 Max (36 GB) · 14-core CPU, 32-core GPU
Unified memory36.0 GB
Usable for AI models24.1 GB
Memory bandwidth410 GB/s
FP16 compute14.7 TFLOPS
NotesM4 Max 14/32 = 410 GB/s; 512GB M3 Ultra option withdrawn Mar 2026 The 512 GB M3 Ultra option was withdrawn in March 2026.
Product pagesupport.apple.com (opens in a new tab)

Best LLMs for the Apple Mac Studio (2025) (M4 Max or M3 Ultra) 36.0 GB

Quality Model Quant Memory Speed Runs
91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 26B-A4BGoogle Q6_K 24.1 GB 61.6 tok/s Runs welltight fit
87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI Q4_K_M 24.1 GB 97.2 tok/s Runs welltight fit
86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou Q4_K_M 23.8 GB 97.2 tok/s Runs welltight fit
83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Raon-1 mini Preview (30B-A4B)KRAFTON Q4_K_M 20.2 GB 75.3 tok/s Runs great
83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. GLM-4.7 Flash (30B-A3B)Zhipu AI Q4_K_M 22.0 GB 97.2 tok/s Runs welltight fit
82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Agents-A1 35B-A3BInternScience Q4_K_M 24.1 GB 97.2 tok/s Runs welltight fit
82Great quality (A) · 82 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen AgentWorld 35B-A3BAlibaba Q4_K_M 23.8 GB 97.2 tok/s Runs welltight fit
78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba Q3_K_M 20.3 GB 116 tok/s Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. Hunyuan Hy-Memory 30B-A3BTencent Q4_K_M 21.7 GB 97.2 tok/s Runs welltight fit
78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB Q3_K_M 20.0 GB 116 tok/s Runs great

Best Image models for the Apple Mac Studio (2025) (M4 Max or M3 Ultra) 36.0 GB

Quality Model Quant Memory Speed Runs
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP8 19.9 GB 11 s Runs great
78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 4BBlack Forest Labs FP16 18.1 GB 6.9 s Runs great
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. Krea 2 TurboKrea FP8 20.2 GB 27 s Runs well
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. ERNIE-Image TurboBaidu FP8 14.5 GB 20 s Runs well
82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. Z-Image TurboAlibaba (Tongyi) FP8 12.6 GB 16 s Runs well
89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. FLUX 3 Image KleinBlack Forest Labs FP8 12.4 GB 36 s Runs well

Best Video models for the Apple Mac Studio (2025) (M4 Max or M3 Ultra) 36.0 GB

Quality Model Quant Memory Speed Runs
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. LTX-Video 2BLightricks FP16 17.5 GB 2.9 min Runs great
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Bernini-R A14B (video generation + editing)ByteDance FP8 20.3 GB 78.6 min Very slowencoder unloaded after use
86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. LTX-2.5 (22B, video + audio)Lightricks FP8 19.7 GB 12.3 min SlowCPU offload
70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 S2V 14B (speech to video)Alibaba Q4 GGUF 21.6 GB 2.3 h Very slowtight fit
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. HY-OmniWeaving (8.3B, unified video)Tencent FP8 15.7 GB 57.9 min Very slowencoder unloaded after use

Best Decision models for the Apple Mac Studio (2025) (M4 Max or M3 Ultra) 36.0 GB

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI F16 4.0 GB 44 ms Runs great
84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3Jina AI F16 4.0 GB 44 ms Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q8_0 4.2 GB 97 ms Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. d1 3BLiquid AI Q8_0 5.9 GB 106 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI F16 2.4 GB 33 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino F16 1.7 GB 21 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba F16 4.0 GB 44 ms Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking. zerank-1 smallZeroEntropy Q8_0 4.6 GB 108 ms Runs great

Other products with the Apple M4 Max (36 GB)

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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