M4 Max (16-core CPU / 40-core GPU)

Name: M4 Max (16-core CPU / 40-core GPU)
Brand: Apple

Apple M4 Max (16-core CPU / 40-core GPU): 48–128 GB of memory at 546 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 546 GB/s: a 128 GB MacBook Pro or Mac Studio runs 120B-class MoE models such as gpt-oss-120b.

Last updated: 2026-10-14

Specifications

Memory	48–128 GB LPDDR5X[src]
Memory bandwidth	546 GB/s[src]
Launch	2024-11[src]
Launch price	US$3,699[src]
Architecture	Apple M4 family (second-generation 3 nm; TSMC N3E)[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	50
Mistral Small 4 119B (2603)	119B (6.5B)	Q5_K_M	83.4 GiB	77
gpt-oss-120b	117B (5.1B)	Q6_K	95.0 GiB	84
Llama 4 Scout 17B-16E Instruct	109B (17B)	Q6_K	89.8 GiB	25
GLM-4.5-Air	106B (12B)	Q6_K	87.3 GiB	36
Qwen3-Coder-Next (80B-A3B)	80B (3B)	Q8_0	83.8 GiB	111
Llama 3.3 70B Instruct	70B	Q8_0	75.7 GiB	4.8
Qwen3.5-35B-A3B	35B (3B)	FP16	69.1 GiB	59
Qwen3.6-35B-A3B	35B (3B)	FP16	69.1 GiB	59
Qwen3-32B	32.8B	FP16	66.6 GiB	5.4
DeepSeek-R1-Distill-Qwen-32B	32.76B	FP16	66.6 GiB	5.4
Gemma 4 31B IT	30.7B	FP16	61.6 GiB	5.8
Qwen3-30B-A3B (2507)	30.5B (3.3B)	FP16	60.9 GiB	54
Qwen3-Coder-30B-A3B-Instruct	30.5B (3.3B)	FP16	60.9 GiB	54
GLM-4.7-Flash (30B-A3B)	30B (3B)	FP16	59.6 GiB	59
Qwen3.5-27B	27B	FP16	53.8 GiB	6.6
Qwen3.6-27B	27B	FP16	53.8 GiB	6.6
Qwen3.8-27B	27B	FP16	53.8 GiB	6.6
Gemma 3 27B IT	27B	FP16	54.3 GiB	6.6
Gemma 4 26B A4B IT	25.2B (3.8B)	FP16	50.1 GiB	47
Mistral Small 3.2 24B Instruct (2506)	24B	FP16	48.7 GiB	7.4
Magistral Small 1.2 (2509)	24B	FP16	48.7 GiB	7.4
Devstral Small 2 24B Instruct (2512)	24B	FP16	48.7 GiB	7.4
gpt-oss-20b	21B (3.6B)	FP16	41.8 GiB	49
Phi-4 (14B)	14B	FP16	29.4 GiB	13
Gemma 3 12B IT	12B	FP16	24.8 GiB	15
Gemma 4 12B Unified IT	11.95B	FP16	24.2 GiB	15
Qwen3.5-9B	9B	FP16	18.4 GiB	20
Qwen3-8B	8.2B	FP16	17.7 GiB	22
DeepSeek-R1-0528-Qwen3-8B	8.19B	FP16	17.6 GiB	22
Llama 3.1 8B Instruct	8B	FP16	17.1 GiB	22
Gemma 4 E4B IT	8B	FP16	16.4 GiB	22
Llama 3.2 3B Instruct	3.21B	FP16	7.7 GiB	55
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

No prices recorded for this device yet. All prices →

Frequently asked questions

Which LLMs can the M4 Max (16-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 M4 Max (16-core CPU / 40-core GPU) for local LLMs?

Generation speed is mostly set by memory bandwidth (546 GB/s). For Llama 3.1 8B Instruct at FP16, expect roughly 22 tokens/s; bigger models are slower.

Can the M4 Max (16-core CPU / 40-core GPU) run 70B models?

Yes. Llama 3.3 70B Instruct fits on the M4 Max (16-core CPU / 40-core GPU) (128 GB) at Q8_0 with an 8K context, using about 75.7 GiB, at an estimated 4.8 tokens/s.