Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max)

Configurations

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

Specifications 16.0 GB configuration

Best LLMs for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	IOK2 Horizon 7BInstitute of Foundation Models	Q4_K_M	8.2 GB	23.5 tok/s	Runs well
B67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	Q5_K_M	7.3 GB	38.8 tok/s	Runs great
B66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	JBMellum2.1 Thinking (12B-A2.5B)JetBrains	Q4_K_M	9.0 GB	65.8 tok/s	Runs great
A74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	XMiMo V2.6 Distill Qwen 9BXiaomi	Q4_K_M	7.5 GB	22.5 tok/s	Runs well
B65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	Q5_K_M	7.3 GB	38.8 tok/s	Runs great
A78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	Q4_K_M	9.4 GB	17.7 tok/s	Runs welltight fit
A74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	STSenseNova Loop 9B PreviewSenseTime	Q4_K_M	7.8 GB	21.9 tok/s	Runs well
A73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.5 9BDeepReinforce	Q4_K_M	7.6 GB	21.9 tok/s	Runs well
A72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	Q4_K_M	7.6 GB	21.9 tok/s	Runs well
A71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.0 9BDeepReinforce	Q4_K_M	7.6 GB	21.9 tok/s	Runs well

Best Image models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A76Great quality (A) · 76 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.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP8	10.2 GB	11 s	Runs welltight fit
A84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	Q4 GGUF	10.2 GB	85 s	Slowtight fit
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	Q4 GGUF	10.1 GB	37 s	Runs welltight fit
C54Fair quality (C) · 54 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.	BDSDXL-Lightning (4-step)ByteDance	FP16	8.9 GB	8.7 s	Runs great
A78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 9BBlack Forest Labs	Q4 GGUF	8.0 GB	28 s	Runs wellencoder unloaded after use
A79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	BERNIE-Image TurboBaidu	Q4 GGUF	7.4 GB	50 s	Slowencoder unloaded after use

Best Video models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 16.0 GB

Quality	Model	Quant	Memory	Speed	Runs
C49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 2BLightricks	FP8	6.1 GB	4.9 min	Runs wellencoder unloaded after use
D35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.	SAAnimateDiff v3 (SD 1.5)Shanghai AI Lab	FP16	4.7 GB	4.1 min	Runs well
B55Good quality (B) · 55 of 100: how capable the model is at FP16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 T2V 1.3BAlibaba	FP16	8.4 GB	51.9 min	Very slowencoder unloaded after use
C53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.1 VACE 1.3BAlibaba	FP8	8.0 GB	50.6 min	Very slowencoder unloaded after use
A74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.	THY-OmniWeaving (8.3B, unified video)Tencent	FP8	7.8 GB	2.1 h	Very slowCPU offload

Best Decision models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 16.0 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	2.9 GB	89 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	2.9 GB	89 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	66 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	41 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	2.9 GB	89 ms	Runs great
A76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 86MMeta	F16	1.2 GB	47 ms	Runs great
A76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Mmxbai-rerank-base v2Mixedbread	F16	2.5 GB	73 ms	Runs great
A74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	KGLiClass ModernBERT Large v3Knowledgator	F16	1.5 GB	34 ms	Runs great

Other products with the Apple M2 Pro (16 GB)

• 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)
• Mac mini (2023) (M2 or M2 Pro)Apple · Mini PC · 8, 16, 24 or 32 GB · $599–$1,699Product page (opens in a new tab)