Apple Mac Studio (2023) (M2 Max or M2 Ultra)

Configurations

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

Specifications 64.0 GB configuration

Best LLMs for the Apple Mac Studio (2023) (M2 Max or M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+92Excellent quality (A+) · 92 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.	Qwen3.6 35B-A3BAlibaba	Q6_K	34.1 GB	72.3 tok/s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	Q8_0	32.2 GB	46.6 tok/s	Runs great
A+92Excellent quality (A+) · 92 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.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q6_K	33.5 GB	72.3 tok/s	Runs great
A+92Excellent quality (A+) · 92 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.	Qwen3.5 35B-A3BAlibaba	Q6_K	34.1 GB	72.3 tok/s	Runs great
A+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.	NANex N2 Mini (35B-A3B)Nex-AGI	Q6_K	33.4 GB	72.3 tok/s	Runs great
A+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.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	Q6_K	33.0 GB	72.3 tok/s	Runs great
A+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.	ISSage-A1.5 35B-A3BInternScience	Q6_K	34.1 GB	72.3 tok/s	Runs great
A+89Excellent quality (A+) · 89 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.	RFlint (40B-A2.5B)Recursive	Q6_K	37.3 GB	82.4 tok/s	Runs great
A+89Excellent quality (A+) · 89 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.	DROrnith 1.5 35B-A3BDeepReinforce	Q6_K	34.1 GB	72.3 tok/s	Runs great
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	AApodex 1.1 Mini (35B-A3B)Apodex	Q6_K	34.1 GB	72.3 tok/s	Runs great

Best Image models for the Apple Mac Studio (2023) (M2 Max or M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A84Great quality (A) · 84 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.	BFFLUX.2 [klein] 9BBlack Forest Labs	FP16	37.1 GB	13 s	Runs great
A+92Excellent quality (A+) · 92 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.	KKrea 2 TurboKrea	FP16	37.4 GB	32 s	Runs well
A+85Excellent quality (A+) · 85 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.	BERNIE-Image TurboBaidu	FP16	26.4 GB	24 s	Runs well
A84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	FP16	22.7 GB	18 s	Runs well
A+87Excellent quality (A+) · 87 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.	Qwen-Image 2.1 TurboAlibaba	FP8	30.8 GB	77 s	Slow
A+93Excellent quality (A+) · 93 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.	BAFibo 2.0 DevBria AI	FP16	27.7 GB	2.8 min	Very slow

Best Video models for the Apple Mac Studio (2023) (M2 Max or M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.5 (22B, video + audio)Lightricks	FP8	35.2 GB	10.5 min	Runs wellencoder unloaded after use
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 I2V A14BAlibaba	Q8 GGUF	39.3 GB	3.8 h	Very slow
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 T2V A14BAlibaba	Q8 GGUF	39.3 GB	3.8 h	Very slow
A84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.3Lightricks	FP8	44.3 GB	44.1 min	Very slowtight fit
B66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 13B 0.9.8 (distilled)Lightricks	FP8	30.1 GB	6.6 min	Runs well

Best Decision models for the Apple Mac Studio (2023) (M2 Max or M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+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.	JAJina Reranker v3.5Jina AI	F16	5.9 GB	46 ms	Runs great
A84Great 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.	JAJina Reranker v3Jina AI	F16	5.9 GB	46 ms	Runs great
A82Great 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.	Mmxbai-rerank-large v2Mixedbread	Q8_0	6.1 GB	105 ms	Runs great
A80Great 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.	SAFRIDA-DecisionsSber AI	F16	2.4 GB	35 ms	Runs great
A80Great 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.	FGLiNER2.5 DecideFastino	F16	1.7 GB	23 ms	Runs great
A80Great 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	5.9 GB	46 ms	Runs great
A82Great quality (A) · 82 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.	LAd1 3BLiquid AI	Q8_0	7.8 GB	113 ms	Runs great
A80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	ZEzerank-1 smallZeroEntropy	Q8_0	6.5 GB	116 ms	Runs great

Other products with the Apple M2 Max (64 GB)

• MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max)Apple · Laptop · 16, 32, 64 or 96 GB · $1,999–$3,099Product page (opens in a new tab)
• MacBook Pro (16-inch, 2023) (M2 Pro or M2 Max)Apple · Laptop · 16, 32, 64 or 96 GB · $2,499–$3,499Product page (opens in a new tab)