Arc Pro B60 vs M5 Max (32-core GPU) for local AI

Arc Pro B60 runs 35 of 74 open models well and M5 Max (32-core GPU) runs 36. Here is every model on both, with the grade and the speed you would get.

Runs more models well (grade B or better)

M5 Max (32-core GPU)

Arc Pro B60: 35 · M5 Max (32-core GPU): 36

Faster on the models both run

About even

Median speed ratio over 35 models both load fully in memory.

Most intelligent model it runs well

Arc Pro B60Qwen3.8 27B

M5 Max (32-core GPU)Qwen3.8 27B

Specs that matter

	Arc Pro B60	M5 Max (32-core GPU)
Memory compared	24 GB	36 GB
Memory bandwidth	456 GB/s	460 GB/s
Memory type	Dedicated VRAM	Unified (shared with the system)
Backend	Vulkan	Metal
Released	2025	2026

Every model on both

Grade and output speed at Q4_K_M with an 8K context; green marks the better of the two.

Model	ECI	Arc Pro B60	M5 Max (32-core GPU)
Kimi K3	157	F—	F—
DeepSeek V4 Pro 0813	155	F—	F—
DeepSeek V4.1 Flash	155	F—	F—
DeepSeek V4 Flash 0731	154	F—	F—
GLM 5.3 Flash	152	F—	F—
GLM 5.2	152	F—	F—
Kimi K2.6	151	F—	F—
tInkling Small	150	F—	F—
Kimi K2.7 Code	150	F—	F—
GLM 5.1	150	F—	F—
Qwen3.8 27B	149	A~20 t/s	A~21 t/s
DeepSeek V4 Pro	149	F—	F—
tInkling	149	F—	F—
Kimi K2.5	148	F—	F—
MiniMax M3	147	F—	F—
MiniMax M2.5	147	F—	F—
Qwen3.5 397B A17B	147	F—	F—
Qwen3.6 27B	147	A~21 t/s	A~22 t/s
DeepSeek V3.2	146	F—	F—
Nemotron 3 Ultra 550B A55B	146	F—	F—
DeepSeek V4 Flash	146	F—	F—
Kimi K2 Thinking	146	F—	F—
MiniMax M2.7	146	F—	F—
GLM 5	146	F—	F—
DeepSeek V3.2 Exp	145	F—	F—
Qwen3.6 35B A3B	144	B~111 t/s	S~101 t/s
Qwen3 235B A22B Thinking 2507	144	F—	F—
GLM 4.7	144	F—	F—
Gemma 4 31B	143	B~18 t/s	B~20 t/s
Qwen3.5 35B A3B	143	B~112 t/s	S~102 t/s
Gemma 4 26B A4B	142	S~89 t/s	S~84 t/s
Mistral Medium 3.5 128B	141	F—	F—
Kimi K2	140	F—	F—
gpt-oss 120b	140	F—	F—
DeepSeek V3.1	140	F—	F—
Qwen3 30B A3B Thinking 2507	140	S~98 t/s	S~91 t/s
Qwen3.5 9B	139	S~53 t/s	S~53 t/s
Qwen3 235B A22B 2507	139	F—	F—
gpt-oss 20b	138	S~106 t/s	S~97 t/s
Qwen3 30B A3B 2507	137	S~98 t/s	S~91 t/s
Magistral Small 2506	133	A~23 t/s	A~25 t/s
Mistral Small 3.2 24B	132	A~23 t/s	A~25 t/s
Magistral Small 2509	131	A~23 t/s	A~25 t/s
Phi-4 14B	130	A~34 t/s	A~36 t/s
Llama 4 Scout 17B 16E	130	F—	F—
Llama 3.3 70B	127	D~3 t/s	F—
Llama 3.1 8B	117	S~55 t/s	S~55 t/s
Command A+	—	F—	F—
Qwen3.8 Flash Next	—	F—	F—
Qwen3.5 122B A10B	—	F—	F—
Mistral Small 4 119B	—	F—	F—
Qwen3 Coder Next	—	F—	F—
Kimi Linear 48B A3B	—	C~75 t/s	F—
Olmo 3.1 32B Think	—	B~18 t/s	B~19 t/s
Nemotron 3.5 Lightning 30B A3B	—	C~86 t/s	B~90 t/s
GLM 4.7 Flash	—	S~110 t/s	S~100 t/s
North Mini Code 1.0	—	S~102 t/s	S~94 t/s
Granite 4.2 30B	—	B~19 t/s	A~20 t/s
Devstral Small 2 24B	—	A~23 t/s	A~25 t/s
Ministral 3 14B	—	A~37 t/s	A~38 t/s
Gemma 4 12B	—	S~43 t/s	S~44 t/s
Ministral 3 8B	—	S~53 t/s	S~53 t/s
Granite 4.2 8B	—	S~50 t/s	S~50 t/s
Gemma 4 E4B	—	S~59 t/s	S~58 t/s
Olmo 3 7B	—	S~48 t/s	S~48 t/s
Gemma 4 E2B	—	S~83 t/s	S~79 t/s
Qwen3.5 4B	—	S~88 t/s	S~83 t/s
Ministral 3 3B	—	S~94 t/s	S~88 t/s
Granite 4.2 3B	—	S~92 t/s	S~87 t/s
Llama 3.2 3B	—	S~96 t/s	S~90 t/s
SmolLM3 3B	—	S~103 t/s	S~95 t/s
LFM2.5 2.6B	—	S~118 t/s	S~106 t/s
Qwen3.5 2B	—	S~135 t/s	S~118 t/s
Qwen3.5 0.8B	—	S~182 t/s	S~149 t/s