Products · Apple · Laptop

Apple MacBook Pro (14-inch, M5 Pro or M5 Max)

Chips: Apple M5 Pro or Apple M5 Max
Unified memory: 24, 36, 48, 64 or 128 GB
Launch price from: $2,199
Released: 2026

View on the Apple website (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 Pro · 15-core CPU, 16-core GPU	24.0 GB	16.1 GB	307 GB/s	363 of 536	$2,199
Apple M5 Pro · 18-core CPU, 20-core GPU	24.0 GB	16.1 GB	307 GB/s	363 of 536	—
Apple M5 Max · 18-core CPU, 32-core GPU	36.0 GB	24.1 GB	460 GB/s	405 of 536	$3,599
Apple M5 Pro · 15-core CPU, 16-core GPU	48.0 GB	36.0 GB	307 GB/s	430 of 536	—
Apple M5 Pro · 18-core CPU, 20-core GPU	48.0 GB	36.0 GB	307 GB/s	430 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	48.0 GB	36.0 GB	614 GB/s	430 of 536	—
Apple M5 Pro · 18-core CPU, 20-core GPU	64.0 GB	48.0 GB	307 GB/s	439 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	64.0 GB	48.0 GB	614 GB/s	439 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	128 GB	96.0 GB	614 GB/s	465 of 536	—

Specifications 128 GB configuration

Maker	Apple
Type	Laptop
Chip	Apple M5 Max (128 GB) · 18-core CPU, 40-core GPU
Unified memory	128 GB
Usable for AI models	96.0 GB
Memory bandwidth	614 GB/s
FP16 compute	18.9 TFLOPS
Notes	announced Mar 3 2026; Apple raised prices Jun 25 2026 (M5 Pro base to $2,499)
Maker’s page	www.apple.com (opens in a new tab)

Best LLMs for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 128 GB

Grade · points	Model	Quant	Memory	Speed	Fit
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen3 Coder Next (80B-A3B)Alibaba	`Q6_K`	73.8 GB	75.1 tok/s	Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen3-Next 80B-A3B ThinkingAlibaba	`Q6_K`	75.2 GB	75.1 tok/s	Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 42.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.2/15	Qwen3.6 35B-A3BAlibaba	`Q8_0`	46.6 GB	55.1 tok/s	Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 41.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.2/15	Qwen3.5 35B-A3BAlibaba	`Q8_0`	46.6 GB	55.1 tok/s	Runs well
92 ptsExcellent (S) · 92 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	gpt-oss 120BOpenAI	`MXFP4`	75.2 GB	68.1 tok/s	Runs well
92 ptsExcellent (S) · 92 of 100 points: Model quality 37.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen3 Next 80B-A3B InstructAlibaba	`Q6_K`	75.2 GB	75.1 tok/s	Runs well
91 ptsExcellent (S) · 91 of 100 points: Model quality 39.3/45, Memory fit 24.0/25, Speed 13.5/15, Memory use 15.0/15	Qwen3.5 122B-A10BAlibaba	`Q4_K_M`	84.8 GB	32.5 tok/s	Tight fit
91 ptsExcellent (S) · 91 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.2/15	Ornith 1.5 35B-A3BDeepReinforce	`Q8_0`	46.6 GB	55.1 tok/s	Runs well
91 ptsExcellent (S) · 91 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.2/15	Apodex 1.1 Mini (35B-A3B)Apodex	`Q8_0`	46.6 GB	55.1 tok/s	Runs well
91 ptsExcellent (S) · 91 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.2/15	Ornith 1.0 35B-A3BDeepReinforce	`Q8_0`	46.6 GB	55.1 tok/s	Runs well

Best Image models for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 128 GB

Grade · points	Model	Precision	Memory	Time per output	Fit
86 ptsExcellent (S) · 86 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 14.8/15, Memory use 8.9/15	FLUX.2 [klein] 9BBlack Forest Labs	`FP16`	37.1 GB	10 s	Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 41.0/45, Memory fit 25.0/25, Speed 3.1/15, Memory use 14.9/15	FLUX.2 [dev]Black Forest Labs	`Q8 GGUF`	61.9 GB	4.0 min	Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 15.0/15	Qwen-Image 2512Alibaba	`FP16`	63.8 GB	8.6 min	Runs well
81 ptsGreat (A) · 81 of 100 points: Model quality 39.6/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 15.0/15	Qwen-ImageAlibaba	`FP16`	63.8 GB	8.6 min	Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 4.8/15, Memory use 15.0/15	HiDream-I1 DevHiDream.ai	`FP16`	64.4 GB	1.6 min	Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 12.5/15, Memory use 5.5/15	Z-Image TurboAlibaba (Tongyi)	`FP16`	22.7 GB	14 s	Runs well

Best Video models for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 128 GB

Grade · points	Model	Precision	Memory	Time per output	Fit
82 ptsGreat (A) · 82 of 100 points: Model quality 38.7/45, Memory fit 25.0/25, Speed 4.2/15, Memory use 15.0/15	LTX-2.3Lightricks	`FP16`	75.4 GB	38.3 min	Runs well
81 ptsGreat (A) · 81 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 4.2/15, Memory use 15.0/15	LTX-2 (19B, video + audio)Lightricks	`FP16`	75.4 GB	38.3 min	Runs well
79 ptsGreat (A) · 79 of 100 points: Model quality 38.7/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 13.9/15	Wan 2.2 I2V A14BAlibaba	`FP16`	58.0 GB	2.6 h	Runs well
79 ptsGreat (A) · 79 of 100 points: Model quality 38.7/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 13.9/15	Wan 2.2 T2V A14BAlibaba	`FP16`	58.0 GB	2.6 h	Runs well
78 ptsGreat (A) · 78 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 2.0/15, Memory use 13.3/15	HunyuanVideo 1.5 (8.3B)Tencent	`FP16`	55.2 GB	2.9 h	Runs well

Other products with the Apple M5 Max (128 GB)

MacBook Pro (16-inch, M5 Pro or M5 Max)Apple · Laptop · 24, 36, 48, 64 or 128 GB · from $2,699Maker’s page (opens in a new tab)
Mac Studio (M5 Max or M5 Ultra)Apple · Desktop · 36, 48, 64, 96, 128, 256 or 512 GB · from $2,499Maker’s page (opens in a new tab)

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.