Apple Mac Studio (M5 Max or M5 Ultra)

Products · · Desktop

Apple Mac Studio (M5 Max or M5 Ultra)

Chips
Apple M5 Max or Apple M5 Ultra
Unified memory
36, 48, 64, 96, 128, 256 or 512 GB
Launch price
$2,499–$10,799
Released
2026

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 M5 Max · 18-core CPU, 32-core GPU 36.0 GB 24.1 GB 460 GB/s 462 of 622 $2,499
Apple M5 Max · 18-core CPU, 40-core GPU 48.0 GB 36.0 GB 614 GB/s 491 of 622 $3,099
Apple M5 Max · 18-core CPU, 40-core GPU 64.0 GB 48.0 GB 614 GB/s 504 of 622 $3,499
Apple M5 Ultra · 30-core CPU, 64-core GPU 96.0 GB 72.0 GB 1,200 GB/s 525 of 622 $5,499
Apple M5 Ultra · 36-core CPU, 80-core GPU 96.0 GB 72.0 GB 1,200 GB/s 525 of 622 $6,799
Apple M5 Max · 18-core CPU, 40-core GPU 128 GB 96.0 GB 614 GB/s 535 of 622 $5,099
Apple M5 Ultra · 36-core CPU, 80-core GPU 256 GB 192 GB 1,200 GB/s 577 of 622 $10,799
Apple M5 Ultra · 36-core CPU, 80-core GPU 512 GB 384 GB 1,200 GB/s 601 of 622 —

Specifications 128 GB configuration

MakerApple
TypeDesktop
ChipApple M5 Max (128 GB) · 18-core CPU, 40-core GPU
Unified memory128 GB
Usable for AI models96.0 GB
Memory bandwidth614 GB/s
FP16 compute18.9 TFLOPS
Notesannounced Aug 25 2026, available Sep 22 2026; 512GB ships late Oct 2026; M5 Max 32-core GPU = 460 GB/s
Product pagewww.apple.com (opens in a new tab)

Best LLMs for the Apple Mac Studio (M5 Max or M5 Ultra) 128 GB

Quality Model Quant Memory Speed Runs
93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 97/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.6 35B-A3BAlibaba F16 80.3 GB 41.5 tok/s Runs great
93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 35B-A3BOpenBMB F16 78.9 GB 41.5 tok/s Runs great
93Excellent quality (A+) · 93 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 35B-A3BAlibaba F16 80.3 GB 41.5 tok/s Runs great
92Excellent quality (A+) · 92 of 100: how capable the model is at F16, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Nex N2 Mini (35B-A3B)Nex-AGI F16 78.7 GB 41.5 tok/s Runs great
91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking. Nemotron 3.5 Bolt 74B-A9BNVIDIA Q6_K 69.8 GB 42.4 tok/s Runs great
91Excellent quality (A+) · 91 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. KAT-Coder V2.5 Dev (35B-A3B)Kuaishou F16 77.8 GB 41.5 tok/s Runs great
91Excellent quality (A+) · 91 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Sage-A1.5 35B-A3BInternScience F16 80.3 GB 41.5 tok/s Runs great
90Excellent quality (A+) · 90 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. Kolibri 1 (78B-A3.5B)Aleph Alpha Q6_K 72.5 GB 88.6 tok/s Runs great
90Excellent quality (A+) · 90 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Ornith 1.5 35B-A3BDeepReinforce F16 80.3 GB 41.5 tok/s Runs great
89Excellent quality (A+) · 89 of 100: how capable the model is at F16, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking. Apodex 1.1 Mini (35B-A3B)Apodex F16 80.3 GB 41.5 tok/s Runs great

Best Image models for the Apple Mac Studio (M5 Max or M5 Ultra) 128 GB

Quality Model Quant Memory Speed Runs
91Excellent quality (A+) · 91 of 100: how capable the model is at FP8, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking. MiniMax H3 ImageMiniMax FP8 72.0 GB 52 s Slow
84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [klein] 9BBlack Forest Labs FP16 37.1 GB 10 s Runs great
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. Krea 2 TurboKrea FP16 37.4 GB 25 s Runs well
91Excellent quality (A+) · 91 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. FLUX.2 [dev]Black Forest Labs Q8 GGUF 61.9 GB 4.0 min Very slow
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Cosmos3-Super Text2Image (64B)NVIDIA FP8 69.1 GB 3.4 min Very slow
86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking. Ming-Image 0.1 DesignAnt Group (inclusionAI) FP16 63.9 GB 1.6 min Slow

Best Video models for the Apple Mac Studio (M5 Max or M5 Ultra) 128 GB

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 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. LTX-2.5 (22B, video + audio)Lightricks FP8 48.3 GB 7.8 min Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. LTX-2.3Lightricks FP16 75.4 GB 38.3 min Slow
89Excellent quality (A+) · 89 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. MiniMax H3 (33B, video + audio)MiniMax Q8 GGUF 68.2 GB 1.9 h Very slow
82Great quality (A) · 82 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. LTX-2 (19B, video + audio)Lightricks FP16 75.4 GB 38.3 min Slow
86Excellent quality (A+) · 86 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Wan 2.2 I2V A14BAlibaba FP16 58.0 GB 2.6 h Very slow

Best Decision models for the Apple Mac Studio (M5 Max or M5 Ultra) 128 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 9.7 GB 34 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 9.7 GB 34 ms Runs great
82Great quality (A) · 82 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. d1 3BLiquid AI F16 14.6 GB 93 ms Runs great
82Great quality (A) · 82 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. mxbai-rerank-large v2Mixedbread F16 11.4 GB 81 ms Runs great
84Great quality (A) · 84 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. Intern-Decision 4BShanghai AI Lab Q8_0 13.2 GB 117 ms Runs great
90Excellent quality (A+) · 90 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. Qwen3 Reranker 4BAlibaba Q8_0 12.8 GB 192 ms Runs well
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 26 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 17 ms Runs great

Other products with the Apple M5 Max (128 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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