M3 Ultra

Name: M3 Ultra
Brand: Apple

Apple M3 Ultra: 96–512 GB of memory at 819 GB/s. Below: the open models it can run, estimated at 512 GB with an 8K context. 819 GB/s and 96–256 GB of unified memory in the Mac Studio (512 GB at launch, since dropped); 256 GB holds 280B-class MoE models like DeepSeek-V4-Flash at 4-bit.

Last updated: 2026-10-14

Specifications

Memory	96–512 GB LPDDR5[src]
Memory bandwidth	819 GB/s[src]
Launch	2025-03[src]
Launch price	US$3,999[src]
Architecture	Apple M3 family (3 nm; TSMC N3B), two M3 Max dies joined by UltraFusion[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.)
DeepSeek-V4-Flash	284B (13B)	Q8_0	295.6 GiB	39
Qwen3.8-Flash-Next	180B (6B)	FP16	352.7 GiB	44
Qwen3.5-122B-A10B	122B (10B)	FP16	239.3 GiB	27
Mistral Small 4 119B (2603)	119B (6.5B)	FP16	233.4 GiB	41
gpt-oss-120b	117B (5.1B)	FP16	229.6 GiB	52
Llama 4 Scout 17B-16E Instruct	109B (17B)	FP16	215.2 GiB	16
GLM-4.5-Air	106B (12B)	FP16	209.2 GiB	22
Qwen3-Coder-Next (80B-A3B)	80B (3B)	FP16	157.1 GiB	89
Llama 3.3 70B Instruct	70B	FP16	139.9 GiB	3.8
Qwen3.5-35B-A3B	35B (3B)	FP16	69.1 GiB	89
Qwen3.6-35B-A3B	35B (3B)	FP16	69.1 GiB	89
Qwen3-32B	32.8B	FP16	66.6 GiB	8.1
DeepSeek-R1-Distill-Qwen-32B	32.76B	FP16	66.6 GiB	8.1
Gemma 4 31B IT	30.7B	FP16	61.6 GiB	8.7
Qwen3-30B-A3B (2507)	30.5B (3.3B)	FP16	60.9 GiB	81
Qwen3-Coder-30B-A3B-Instruct	30.5B (3.3B)	FP16	60.9 GiB	81
GLM-4.7-Flash (30B-A3B)	30B (3B)	FP16	59.6 GiB	89
Qwen3.5-27B	27B	FP16	53.8 GiB	9.9
Qwen3.6-27B	27B	FP16	53.8 GiB	9.9
Qwen3.8-27B	27B	FP16	53.8 GiB	9.9
Gemma 3 27B IT	27B	FP16	54.3 GiB	9.9
Gemma 4 26B A4B IT	25.2B (3.8B)	FP16	50.1 GiB	70
Mistral Small 3.2 24B Instruct (2506)	24B	FP16	48.7 GiB	11
Magistral Small 1.2 (2509)	24B	FP16	48.7 GiB	11
Devstral Small 2 24B Instruct (2512)	24B	FP16	48.7 GiB	11
gpt-oss-20b	21B (3.6B)	FP16	41.8 GiB	74
Phi-4 (14B)	14B	FP16	29.4 GiB	19
Gemma 3 12B IT	12B	FP16	24.8 GiB	22
Gemma 4 12B Unified IT	11.95B	FP16	24.2 GiB	22
Qwen3.5-9B	9B	FP16	18.4 GiB	30
Qwen3-8B	8.2B	FP16	17.7 GiB	32
DeepSeek-R1-0528-Qwen3-8B	8.19B	FP16	17.6 GiB	33
Llama 3.1 8B Instruct	8B	FP16	17.1 GiB	33
Gemma 4 E4B IT	8B	FP16	16.4 GiB	33
Llama 3.2 3B Instruct	3.21B	FP16	7.7 GiB	83
Kimi K2.6	1000B (32B)	Doesn't fit	–	–
DeepSeek-R1-0528 (671B)	671B (37B)	Doesn't fit	–	–

Prices

No prices recorded for this device yet. All prices →

Frequently asked questions

Which LLMs can the M3 Ultra run?

With 512 GB and an 8K context, the largest models that fit include: DeepSeek-V4-Flash, Qwen3.8-Flash-Next, Qwen3.5-122B-A10B, Mistral Small 4 119B (2603), gpt-oss-120b. See the full table below.

How fast is the M3 Ultra for local LLMs?

Generation speed is mostly set by memory bandwidth (819 GB/s). For Llama 3.1 8B Instruct at FP16, expect roughly 33 tokens/s; bigger models are slower.

Can the M3 Ultra run 70B models?

Yes. Llama 3.3 70B Instruct fits on the M3 Ultra (512 GB) at FP16 with an 8K context, using about 139.9 GiB, at an estimated 3.8 tokens/s.