M5 Max (18-core CPU / 40-core GPU)

Name: M5 Max (18-core CPU / 40-core GPU)
Brand: Apple
Price: 105900 TWD

Apple M5 Max (18-core CPU / 40-core GPU): 48–128 GB of memory at 614 GB/s. Below: the open models it can run, estimated at 128 GB with an 8K context. Up to 128 GB of unified memory at 614 GB/s in the MacBook Pro and Mac Studio: 128 GB runs 120B-class MoE models such as gpt-oss-120b.

Last updated: 2026-10-14

Specifications

Memory	48–128 GB LPDDR5X[src]
Memory bandwidth	614 GB/s[src]
Launch	2026-03[src]
Launch price	US$4,099[src]
Architecture	Apple M5 Max (Fusion Architecture: two third-generation 3 nm dies)[src]
Software	Metal / MLX

What it can run

Best-quality quantization that fits with a 8K context, and the estimated generation speed. Estimates, not benchmarks. See the methodology.

Memory configuration

Model	Params	Best quant	Memory	tok/s (est.)
Qwen3.5-122B-A10B	122B (10B)	Q5_K_M	85.5 GiB	56
Mistral Small 4 119B (2603)	119B (6.5B)	Q5_K_M	83.4 GiB	86
gpt-oss-120b	117B (5.1B)	Q6_K	95.0 GiB	95
Llama 4 Scout 17B-16E Instruct	109B (17B)	Q6_K	89.8 GiB	28
GLM-4.5-Air	106B (12B)	Q6_K	87.3 GiB	40
Qwen3-Coder-Next (80B-A3B)	80B (3B)	Q8_0	83.8 GiB	125
Llama 3.3 70B Instruct	70B	Q8_0	75.7 GiB	5.4
Qwen3.5-35B-A3B	35B (3B)	FP16	69.1 GiB	67
Qwen3.6-35B-A3B	35B (3B)	FP16	69.1 GiB	67
Qwen3-32B	32.8B	FP16	66.6 GiB	6.1
DeepSeek-R1-Distill-Qwen-32B	32.76B	FP16	66.6 GiB	6.1
Gemma 4 31B IT	30.7B	FP16	61.6 GiB	6.5
Qwen3-30B-A3B (2507)	30.5B (3.3B)	FP16	60.9 GiB	60
Qwen3-Coder-30B-A3B-Instruct	30.5B (3.3B)	FP16	60.9 GiB	60
GLM-4.7-Flash (30B-A3B)	30B (3B)	FP16	59.6 GiB	67
Qwen3.5-27B	27B	FP16	53.8 GiB	7.4
Qwen3.6-27B	27B	FP16	53.8 GiB	7.4
Qwen3.8-27B	27B	FP16	53.8 GiB	7.4
Gemma 3 27B IT	27B	FP16	54.3 GiB	7.4
Gemma 4 26B A4B IT	25.2B (3.8B)	FP16	50.1 GiB	53
Mistral Small 3.2 24B Instruct (2506)	24B	FP16	48.7 GiB	8.3
Magistral Small 1.2 (2509)	24B	FP16	48.7 GiB	8.3
Devstral Small 2 24B Instruct (2512)	24B	FP16	48.7 GiB	8.3
gpt-oss-20b	21B (3.6B)	FP16	41.8 GiB	55
Phi-4 (14B)	14B	FP16	29.4 GiB	14
Gemma 3 12B IT	12B	FP16	24.8 GiB	17
Gemma 4 12B Unified IT	11.95B	FP16	24.2 GiB	17
Qwen3.5-9B	9B	FP16	18.4 GiB	22
Qwen3-8B	8.2B	FP16	17.7 GiB	24
DeepSeek-R1-0528-Qwen3-8B	8.19B	FP16	17.6 GiB	24
Llama 3.1 8B Instruct	8B	FP16	17.1 GiB	25
Gemma 4 E4B IT	8B	FP16	16.4 GiB	25
Llama 3.2 3B Instruct	3.21B	FP16	7.7 GiB	62
Kimi K2.6	1000B (32B)	Doesn't fit	–	–
DeepSeek-R1-0528 (671B)	671B (37B)	Doesn't fit	–	–
DeepSeek-V4-Flash	284B (13B)	Doesn't fit	–	–
Qwen3.8-Flash-Next	180B (6B)	Doesn't fit	–	–

Prices

Latest price at each shop, as listed on the day we checked.

Region	Shop	Listing	Price	Per GB	Checked
Taiwan	Apple	Mac Studio，M5 Max 晶片，18 核心 CPU、40 核心 GPU，48GB 統一記憶體，512GB 儲存裝置Price shown in Apple Store configurator for this configuration	NT$105,900	NT$2,206/GB	2026-10-14
US	Apple	Mac Studio, M5 Max chip, 18-core CPU, 40-core GPU, 48GB memory, 512GB storagePrice shown in Apple Store configurator for this configuration	US$3,099	US$65/GB	2026-10-14

Taiwan value: about 82.3 tok/s on Llama 3.1 8B Instruct (Q4_K_M, 8K), or 0.8 tok/s per NT$1,000.
US value: about 82.3 tok/s on Llama 3.1 8B Instruct (Q4_K_M, 8K), or 2.7 tok/s per US$100.

A price history chart appears once we have checked this device on two or more days.

All prices →

Frequently asked questions

Which LLMs can the M5 Max (18-core CPU / 40-core GPU) run?

With 128 GB and an 8K context, the largest models that fit include: Qwen3.5-122B-A10B, Mistral Small 4 119B (2603), gpt-oss-120b, Llama 4 Scout 17B-16E Instruct, GLM-4.5-Air. See the full table below.

How fast is the M5 Max (18-core CPU / 40-core GPU) for local LLMs?

Generation speed is mostly set by memory bandwidth (614 GB/s). For Llama 3.1 8B Instruct at FP16, expect roughly 25 tokens/s; bigger models are slower.

Can the M5 Max (18-core CPU / 40-core GPU) run 70B models?

Yes. Llama 3.3 70B Instruct fits on the M5 Max (18-core CPU / 40-core GPU) (128 GB) at Q8_0 with an 8K context, using about 75.7 GiB, at an estimated 5.4 tokens/s.