What are the best models to run on Apple M4 Max (64GB)?

Based on model rankings and 48 GB usable VRAM: Top Overall: Qwen 3.8 27B (INT4) ~27 tok/s. Top Coding: Qwen3.5-27B (INT4) ~27 tok/s. Optimal Daily Driver: Phi-4 Reasoning Plus (INT4) ~36 tok/s. Maximum Model Size: AliceAI Foundation 80B A3B Base (INT4) ~91 tok/s.

How are VRAM, throughput, and latency calculated?

Calculations are determined using apxml.com modeling, combining LLM architecture analysis with GPU hardware physics. VRAM and Context Scaling: Memory requirements are determined from model architecture, including parameter count, layer configuration, and attention structure. The KV cache footprint scales deterministically based on context length, batch size, and cache precision. Throughput (TPS): Token generation is calculated in the memory-bandwidth-bound decode phase, measuring the time required to stream model weights and KV cache relative to hardware memory bandwidth. Latency (TTFT): Time to first token is calculated from the compute operations required during prompt prefill relative to hardware tensor compute capacity.

How accurate are these estimates?

Calculations are calibrated against empirical ground-truth benchmark runs across diverse architectures and hardware. Because the underlying mechanics are benchmark-calibrated, estimates remain accurate across different configurations without needing to run physical tests for every scenario. VRAM Accuracy: Memory estimates are deterministic and closely match actual allocation. Minor differences typically stay within 3% to 5% due to CUDA runtime overhead or memory allocator fragmentation. Speed and Latency Accuracy: Throughput and TTFT typically vary within 5% to 10% depending on the specific inference runtime, kernel implementations, and system power limits.

Best Models to Run on Apple M4 Max (64GB) (October 2026)

Rank	Model	Parameters	Precision	TPS (Approx.)	TTFT
#33	Qwen 3.8 27B	27B	INT4 Q8	27 tok/s 16 tok/s	~15.9s ~15.9s
#48	Agnes 3.0 Flash	33B	INT4 Q8	23 tok/s 13 tok/s	~19.3s ~19.4s
#72	K2 Horizon MoVA 36B A4B	36B (4B active)	INT4 Q8	102 tok/s 74 tok/s	~3.1s ~3.1s
#83	Qwen3.5-27B	27B	INT4 Q8	27 tok/s 16 tok/s	~15.9s ~15.9s
#92	Sarvam-30B	32B (2.4B active)	INT4 Q8	128 tok/s 100 tok/s	~2.2s ~2.2s
#94	Qwen3.6 35B A3B	35B (3B active)	INT4 Q8	117 tok/s 88 tok/s	~2.5s ~2.5s
#96	Muse Glimmer 30B	30B	INT4 Q8	25 tok/s 14 tok/s	~17.6s ~17.6s
#100	Phi-4 Reasoning Plus	14B	INT4 Q8 FP16	36 tok/s 24 tok/s 14 tok/s	~8.4s ~8.4s ~8.4s
#101	MiMo V2 Flash	15B (309B active)	INT4 Q8 FP16	3 tok/s 1 tok/s 1 tok/s	~173.8s ~174.1s ~174.7s
#108	Gemma 4 26B A4B	25.2B (3.8B active)	INT4 Q8	108 tok/s 78 tok/s	~2.8s ~2.8s
#109	Gemma 4 12B	11.95B	INT4 Q8 FP16	41 tok/s 28 tok/s 16 tok/s	~7.2s ~7.2s ~7.2s
#113	Qwen3.5-9B	9B	INT4 Q8 FP16	69 tok/s 43 tok/s 23 tok/s	~5.4s ~5.4s ~5.4s
#114	Qwen3.5-35B-A3B	35B (3B active)	INT4 Q8	117 tok/s 88 tok/s	~2.5s ~2.5s
#118	K2 Horizon 7B	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
#128	NVIDIA Nemotron 3 Nano 30B-A3B	3.5B (30B active)	INT4 Q8 FP16	24 tok/s 14 tok/s 7 tok/s	~17.1s ~17.1s ~17.1s
#129	Gemma 4 31B	30.7B	INT4 Q8	24 tok/s 14 tok/s	~18.0s ~18.0s
#131	Nemotron 3.5 Lightning	30B (3B active)	INT4 Q8	50 tok/s 46 tok/s	~2.5s ~2.5s
#132	Qwen3.5-4B	4B	INT4 Q8 FP16	118 tok/s 81 tok/s 48 tok/s	~2.5s ~2.5s ~2.5s
#133	Qwen3-30B-A3B	30B (3B active)	INT4 Q8	118 tok/s 89 tok/s	~2.5s ~2.5s
#136	GPT-OSS 20B	21B (3.6B active)	INT4 Q8 FP16	55 tok/s 48 tok/s 32 tok/s	~2.7s ~2.7s ~3.1s
#146	Granite 4.2 8B	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#150	Gemma 4 E4B	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#151	Nemotron 3.5 Lightning 30B A3B	30B (3B active)	INT4 Q8	118 tok/s 89 tok/s	~2.5s ~2.5s
#153	Qwen3-32B	32B	INT4 Q8	24 tok/s 14 tok/s	~18.8s ~18.8s
#154	Qwen2.5-72B	72B	INT4	10 tok/s	~45.6s
#155	Mistral Large 3	41B (675B active)	INT4	1 tok/s	~379.4s
#156	GLM-4	32B	INT4 Q8	18 tok/s 11 tok/s	~18.8s ~20.4s
#157	DeepSeek-R1 70B	70B	INT4	12 tok/s	~40.8s
#158	GLM-4V	9B	INT4 Q8 FP16	51 tok/s 35 tok/s 21 tok/s	~5.4s ~5.4s ~5.4s
#159	Gemma 3 27B	27B	INT4 Q8	27 tok/s 16 tok/s	~15.9s ~15.9s
#160	Phi-4	14B	INT4 Q8 FP16	48 tok/s 29 tok/s 15 tok/s	~8.4s ~8.4s ~8.4s
#161	Llama 3.3 70B	70B	INT4	11 tok/s	~40.8s
#162	DeepSeek-R1 32B	32B	INT4 Q8	24 tok/s 14 tok/s	~18.8s ~18.8s
#163	Hunyuan Standard	52B (389B active)	INT4	2 tok/s	~219.2s
#164	Qwen2.5-32B	32B	INT4 Q8	24 tok/s 14 tok/s	~18.8s ~18.8s
#168	Magistral Small	24B	INT4 Q8	23 tok/s 15 tok/s	~14.2s ~14.2s
#169	OLMo 3 7B Think	7B	INT4 Q8 FP16	61 tok/s 43 tok/s 26 tok/s	~4.2s ~4.2s ~4.3s
#170	OLMo 3.1 32B Instruct	32B	INT4 Q8	18 tok/s 11 tok/s	~18.8s ~20.4s
#171	Llama 3.1 70B	70B	INT4	11 tok/s	~40.8s
#172	DeepSeek-R1 14B	14B	INT4 Q8 FP16	50 tok/s 30 tok/s 16 tok/s	~8.4s ~8.4s ~8.4s
#173	Ministral 3 14B	14B	INT4 Q8 FP16	36 tok/s 24 tok/s 14 tok/s	~8.4s ~8.4s ~8.4s
#177	Gemma 3 12B	12B	INT4 Q8 FP16	55 tok/s 33 tok/s 18 tok/s	~7.2s ~7.2s ~7.2s
#179	Qwen2-72B	72B	INT4	10 tok/s	~45.6s
#180	OLMo 3 32B Base	32B	INT4 Q8	18 tok/s 11 tok/s	~18.8s ~20.4s
#181	Mistral-Small-2501	24B	INT4 Q8 FP16	30 tok/s 18 tok/s 8 tok/s	~14.2s ~14.2s ~16.7s
#182	Ministral 3 8B	8B	INT4 Q8 FP16	55 tok/s 39 tok/s 23 tok/s	~4.8s ~4.8s ~4.8s
#183	Qwen3.5-2B	2B	INT4 Q8 FP16	166 tok/s 125 tok/s 81 tok/s	~1.3s ~1.3s ~1.3s
#184	MiniCPM5-2B	2B	INT4 Q8 FP16	166 tok/s 125 tok/s 81 tok/s	~1.3s ~1.3s ~1.3s
#185	Qwen2.5-14B	14B	INT4 Q8 FP16	48 tok/s 29 tok/s 15 tok/s	~8.4s ~8.4s ~8.4s
#186	Gemma 2 27B	27B	INT4 Q8	27 tok/s 16 tok/s	~15.9s ~15.9s
#187	OLMo 3.1 32B Think	32B	INT4 Q8	18 tok/s 11 tok/s	~18.8s ~20.4s
#188	Gemma 4 E2B	5.1B	INT4 Q8 FP16	102 tok/s 68 tok/s 39 tok/s	~3.1s ~3.1s ~3.1s
#189	Qwen3-4B	4B	INT4 Q8 FP16	118 tok/s 81 tok/s 48 tok/s	~2.5s ~2.5s ~2.5s
#190	DeepSeek-R1 8B	8B	INT4 Q8 FP16	77 tok/s 48 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#191	Llama 3 70B	70B	INT4	11 tok/s	~40.8s
#193	Ministral 3 3B	3B	INT4 Q8 FP16	97 tok/s 77 tok/s 52 tok/s	~1.9s ~1.9s ~1.9s
#195	Qwen3-14B	14B	INT4 Q8 FP16	48 tok/s 29 tok/s 15 tok/s	~8.4s ~8.4s ~8.4s
#196	Kimi Linear 48B A3B Instruct	48B (3B active)	INT4	43 tok/s	~2.7s
#197	Gemma 2 9B	9B	INT4 Q8 FP16	69 tok/s 43 tok/s 23 tok/s	~5.4s ~5.4s ~5.4s
#198	Qwen2.5-7B	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
#199	Qwen3-8B	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#200	Gemma 3 4B	4B	INT4 Q8 FP16	118 tok/s 81 tok/s 48 tok/s	~2.5s ~2.5s ~2.5s
#201	DeepSeek-R1 7B	7B	INT4 Q8 FP16	84 tok/s 53 tok/s 30 tok/s	~4.2s ~4.2s ~4.3s
#202	Llama 3.1 8B	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#204	Qwen3-1.7B	1.7B	INT4 Q8 FP16	177 tok/s 137 tok/s 91 tok/s	~1.1s ~1.1s ~1.1s
#205	Command R	35B	INT4 Q8	17 tok/s 10 tok/s	~20.5s ~22.3s
#206	Gemma 3 270M	0.27B	INT4 Q8 FP16	254 tok/s 239 tok/s 210 tok/s	~179 ms ~179 ms ~180 ms
#208	Llama 3 8B	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#209	Qwen3-0.6B	0.6B	INT4 Q8 FP16	243 tok/s 213 tok/s 167 tok/s	~397 ms ~398 ms ~399 ms
#210	Phi-4-Mini	3.8B	INT4 Q8 FP16	122 tok/s 84 tok/s 50 tok/s	~2.4s ~2.4s ~2.4s
#211	Mixtral-8x7B-v0.1	46.7B (7B active)	INT4 Q8	74 tok/s 44 tok/s	~4.9s ~5.8s
#212	Ministral-8B-2410	8B	INT4 Q8 FP16	75 tok/s 47 tok/s 26 tok/s	~4.8s ~4.8s ~4.8s
#213	DeepSeek-R1 1.5B	1.5B	INT4 Q8 FP16	186 tok/s 147 tok/s 100 tok/s	~997 ms ~999 ms ~1.0s
#214	Llama 3.2 3B	3B	INT4 Q8 FP16	138 tok/s 98 tok/s 60 tok/s	~1.9s ~1.9s ~1.9s
#215	Qwen3.5-0.8B	0.8B	INT4 Q8 FP16	227 tok/s 193 tok/s 145 tok/s	~537 ms ~538 ms ~539 ms
#216	Phi-3-mini	3.8B	INT4 Q8 FP16	122 tok/s 84 tok/s 50 tok/s	~2.4s ~2.4s ~2.4s
#217	Gemma 3n E2B IT	6B (2B active)	INT4 Q8 FP16	97 tok/s 84 tok/s 62 tok/s	~1.4s ~1.4s ~1.4s
#218	Mistral-7B-Instruct-v0.1	7.3B	INT4 Q8 FP16	80 tok/s 51 tok/s 28 tok/s	~4.4s ~4.4s ~4.4s
#219	Llama 3.2 1B	1B	INT4 Q8 FP16	212 tok/s 176 tok/s 128 tok/s	~682 ms ~683 ms ~685 ms
#220	Gemma 2 2B	2B	INT4 Q8 FP16	166 tok/s 125 tok/s 81 tok/s	~1.3s ~1.3s ~1.3s
#221	Phi-3-medium	14B	INT4 Q8 FP16	48 tok/s 29 tok/s 15 tok/s	~8.4s ~8.4s ~8.4s
#222	OLMo 3 7B Instruct	7B	INT4 Q8 FP16	61 tok/s 43 tok/s 26 tok/s	~4.2s ~4.2s ~4.3s
#223	Yi-34B	34B	INT4 Q8	18 tok/s 11 tok/s	~19.9s ~21.7s
#224	Qwen2-7B	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
#225	Phi-3-small	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
#226	Gemma 3 1B	1B	INT4 Q8 FP16	212 tok/s 176 tok/s 128 tok/s	~682 ms ~683 ms ~685 ms
#227	Mistral-7B-Instruct-v0.2	7.3B	INT4 Q8 FP16	80 tok/s 51 tok/s 28 tok/s	~4.4s ~4.4s ~4.4s
#229	Gemma 1 7B	7B	INT4 Q8 FP16	61 tok/s 43 tok/s 26 tok/s	~4.2s ~4.2s ~4.3s
#230	Gemma 1 2B	2B	INT4 Q8 FP16	174 tok/s 130 tok/s 83 tok/s	~1.3s ~1.3s ~1.3s
#231	ChatGLM3-6B	6B	INT4 Q8 FP16	67 tok/s 49 tok/s 30 tok/s	~3.7s ~3.7s ~3.7s
#232	ChatGLM2-6B	6B	INT4 Q8 FP16	67 tok/s 49 tok/s 30 tok/s	~3.7s ~3.7s ~3.7s
#233	ChatGLM-6B	6B	INT4 Q8 FP16	67 tok/s 49 tok/s 30 tok/s	~3.7s ~3.7s ~3.7s
Unranked Models (Sorted by Speed)
-	Qwen2-0.5B	0.5B	INT4 Q8 FP16	252 tok/s 224 tok/s 181 tok/s	~330 ms ~330 ms ~331 ms
-	Qwen2.5-0.5B	0.5B	INT4 Q8 FP16	252 tok/s 224 tok/s 181 tok/s	~330 ms ~330 ms ~331 ms
-	ERNIE-4.5-0.3B	0.3B	INT4 Q8 FP16	248 tok/s 233 tok/s 203 tok/s	~199 ms ~199 ms ~200 ms
-	ERNIE-4.5-0.3B-Base	0.3B	INT4 Q8 FP16	248 tok/s 233 tok/s 203 tok/s	~199 ms ~199 ms ~200 ms
-	Falcon-1B	1B	INT4 Q8 FP16	221 tok/s 182 tok/s 131 tok/s	~682 ms ~683 ms ~685 ms
-	Falcon3-1B	1B	INT4 Q8 FP16	212 tok/s 176 tok/s 128 tok/s	~682 ms ~683 ms ~685 ms
-	Qwen2-1.5B	1.5B	INT4 Q8 FP16	186 tok/s 147 tok/s 100 tok/s	~997 ms ~999 ms ~1.0s
-	Qwen2.5-1.5B	1.5B	INT4 Q8 FP16	186 tok/s 147 tok/s 100 tok/s	~997 ms ~999 ms ~1.0s
-	Spark X2.5 1.7B	1.7B	INT4 Q8 FP16	177 tok/s 137 tok/s 91 tok/s	~1.1s ~1.1s ~1.1s
-	Hy-MT2 1.8B	1.8B	INT4 Q8 FP16	174 tok/s 133 tok/s 88 tok/s	~1.2s ~1.2s ~1.2s
-	Falcon-3B	3B	INT4 Q8 FP16	145 tok/s 101 tok/s 61 tok/s	~1.9s ~1.9s ~1.9s
-	CroissantLLM Base	1.3B	INT4 Q8 FP16	142 tok/s 123 tok/s 92 tok/s	~870 ms ~872 ms ~874 ms
-	Phi-1	1.3B	INT4 Q8 FP16	142 tok/s 123 tok/s 92 tok/s	~870 ms ~872 ms ~874 ms
-	Phi-1.5	1.3B	INT4 Q8 FP16	142 tok/s 123 tok/s 92 tok/s	~870 ms ~872 ms ~874 ms
-	DeepSeek-R1 3B	3B	INT4 Q8 FP16	140 tok/s 99 tok/s 60 tok/s	~1.9s ~1.9s ~1.9s
-	Falcon3-3B	3B	INT4 Q8 FP16	138 tok/s 98 tok/s 60 tok/s	~1.9s ~1.9s ~1.9s
-	Qwen2.5-3B	3B	INT4 Q8 FP16	138 tok/s 98 tok/s 60 tok/s	~1.9s ~1.9s ~1.9s
-	ERNIE-4.5-21B-A3B	21B (3B active)	INT4 Q8 FP16	123 tok/s 91 tok/s 54 tok/s	~2.3s ~2.3s ~2.5s
-	ERNIE-4.5-21B-A3B-Base	21B (3B active)	INT4 Q8 FP16	123 tok/s 91 tok/s 54 tok/s	~2.3s ~2.3s ~2.5s
-	ERNIE-4.5-VL-28B-A3B	28B (3B active)	INT4 Q8	119 tok/s 89 tok/s	~2.4s ~2.4s
-	ERNIE-4.5-VL-28B-A3B-Base	28B (3B active)	INT4 Q8	119 tok/s 89 tok/s	~2.4s ~2.4s
-	Hy-MT2 30B A3B	30B (3B active)	INT4 Q8	118 tok/s 89 tok/s	~2.5s ~2.5s
-	Spark X2.5 4B	4B	INT4 Q8 FP16	118 tok/s 81 tok/s 48 tok/s	~2.5s ~2.5s ~2.5s
-	Phi-2	2.7B	INT4 Q8 FP16	102 tok/s 82 tok/s 55 tok/s	~1.7s ~1.7s ~1.7s
-	MaLLaM-3B	3B	INT4 Q8 FP16	97 tok/s 77 tok/s 52 tok/s	~1.9s ~1.9s ~1.9s
-	SmolLM3 3B	3B	INT4 Q8 FP16	97 tok/s 77 tok/s 52 tok/s	~1.9s ~1.9s ~1.9s
-	AliceAI Foundation 80B A3B Base	80B (3B active)	INT4	91 tok/s	~3.7s
-	Falcon-7B	7B	INT4 Q8 FP16	86 tok/s 54 tok/s 30 tok/s	~4.2s ~4.2s ~4.3s
-	Falcon3-7B	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
-	Hy-MT2 7B	7B	INT4 Q8 FP16	82 tok/s 53 tok/s 29 tok/s	~4.2s ~4.2s ~4.3s
-	Mistral-7B-v0.1	7.3B	INT4 Q8 FP16	80 tok/s 51 tok/s 28 tok/s	~4.4s ~4.4s ~4.4s
-	LensVLM 9B	9B	INT4 Q8 FP16	69 tok/s 43 tok/s 23 tok/s	~5.4s ~5.4s ~5.4s
-	MiMo V2.6 Distill Qwen 9B	9B	INT4 Q8 FP16	69 tok/s 43 tok/s 23 tok/s	~5.4s ~5.4s ~5.4s
-	ChatGLM3-6B-32K	6B	INT4 Q8 FP16	67 tok/s 49 tok/s 30 tok/s	~3.7s ~3.7s ~3.7s
-	Yi-6B	6B	INT4 Q8 FP16	67 tok/s 49 tok/s 30 tok/s	~3.7s ~3.7s ~3.7s
-	Falcon3-10B	10B	INT4 Q8 FP16	63 tok/s 39 tok/s 21 tok/s	~6.0s ~6.0s ~6.0s
-	Kimi-VL-A3B-Instruct	16B (3B active)	INT4 Q8 FP16	63 tok/s 56 tok/s 41 tok/s	~2.2s ~2.2s ~2.2s
-	Falcon2-11B	11B	INT4 Q8 FP16	61 tok/s 37 tok/s 20 tok/s	~6.6s ~6.6s ~6.6s
-	Hunyuan Lite	7B	INT4 Q8 FP16	61 tok/s 43 tok/s 26 tok/s	~4.2s ~4.2s ~4.3s
-	OLMo 3 7B Base	7B	INT4 Q8 FP16	61 tok/s 43 tok/s 26 tok/s	~4.2s ~4.2s ~4.3s
-	SEA-LION-7B	7.1B	INT4 Q8 FP16	60 tok/s 43 tok/s 26 tok/s	~4.3s ~4.3s ~4.3s
-	SEA-LION-7B-Instruct	7.1B	INT4 Q8 FP16	60 tok/s 43 tok/s 26 tok/s	~4.3s ~4.3s ~4.3s
-	Sahabat-AI-Llama3-8B-Instruct	8B	INT4 Q8 FP16	55 tok/s 39 tok/s 23 tok/s	~4.8s ~4.8s ~4.8s
-	Typhoon-2-8B	8B	INT4 Q8 FP16	55 tok/s 39 tok/s 23 tok/s	~4.8s ~4.8s ~4.8s
-	GLM-4-9B	9B	INT4 Q8 FP16	51 tok/s 35 tok/s 21 tok/s	~5.4s ~5.4s ~5.4s
-	GLM-4-9B-Chat	9B	INT4 Q8 FP16	51 tok/s 35 tok/s 21 tok/s	~5.4s ~5.4s ~5.4s
-	GLM-4-9B-Chat-1M	9B	INT4 Q8 FP16	51 tok/s 35 tok/s 21 tok/s	~5.4s ~5.4s ~5.4s
-	Yi-9B	9B	INT4 Q8 FP16	51 tok/s 35 tok/s 21 tok/s	~5.4s ~5.4s ~5.4s
-	Sahabat-AI-Gemma2-9B	9.2B	INT4 Q8 FP16	50 tok/s 35 tok/s 21 tok/s	~5.5s ~5.5s ~5.6s
-	Sahabat-AI-Gemma2-9B-Instruct	9.2B	INT4 Q8 FP16	50 tok/s 35 tok/s 21 tok/s	~5.5s ~5.5s ~5.6s
-	GreenMind-14B-R1	14B	INT4 Q8 FP16	36 tok/s 24 tok/s 14 tok/s	~8.4s ~8.4s ~8.4s
-	Falcon-40B	40B	INT4 Q8	20 tok/s 11 tok/s	~23.3s ~25.4s
-	Kimi-Dev-72B	72B	INT4	8 tok/s	~49.3s
-	Typhoon-2-70B	70B	INT4	8 tok/s	~48.0s

Apple M4 Max (64GB)

VRAM Scaling by Context Length

Best Models to Run on Apple M4 Max (64GB)

Inference Capacity

Fine-Tuning Capacity

Workload Recommendations

Frequently Asked Questions