Intel Arc Pro B70 vs Mac mini M4 Pro 48GB

For running models locally, priced in the US. At 128k context the first runs 50 models fully in memory, the second 58.

In short

The Mac mini M4 Pro 48GB has more memory for models: 48 GB against 32 GB. At 128k context the Mac mini M4 Pro 48GB runs 58 of the models we track fully in memory and the Intel Arc Pro B70 50; only the Mac mini M4 Pro 48GB holds Devstral Small 2 24B. On the models both run fully in memory, the Intel Arc Pro B70 is about 1.7× as fast as the Mac mini M4 Pro 48GB (estimated, median across models). In the US the Intel Arc Pro B70 costs $1,900 at eBay and the Mac mini M4 Pro 48GB $2,199 at eBay: the Intel Arc Pro B70 is $299 cheaper.

Updated . Speeds are estimates; how they are worked out.

Specifications

SpecIntel Arc Pro B70Mac mini M4 Pro 48GB
GPUArc Pro B70–
Memory32 GB GDDR6–
Memory bus256-bit256-bit
Memory bandwidth608 GB/s273 GB/s
FP16 compute45.8 TFLOPS8.08 TFLOPS
SoftwareSYCL / oneAPIMetal
Board power230 W–
PCIe generationGen 5–
PCIe lanesx16–
Chip–Apple M4 Pro (20-core GPU)
Unified memory–48 GB
GPU can use by default–36 GB
GPU can use, tuned–40 GB
Operating system–macos
Processor–M4 Pro 14-core
Storage–512 GB

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelIntel Arc Pro B70Mac mini M4 Pro 48GB
Qwen 3.8 27B10tok/sUD-Q6_K5tok/sQ6_K
Qwen 3.6 27B10tok/sQ6_K6tok/sQ6_K
Gemma 4 31B10tok/sQ4_K_M5tok/sQ6_K
Qwen 3.6 35B-A3B34tok/sUD-Q5_K_M20tok/sQ6_K
Qwen 3.5 27B10tok/sQ6_K6tok/sQ6_K
Gemma 4 26B-A4B24tok/sQ8_015tok/sQ8_0
Qwen 3.5 35B-A3B32tok/sQ6_K21tok/sQ6_K
GLM 4.7 Flash15tok/sQ6_K10tok/sQ6_K
Devstral Small 2 24Boffload5tok/sQ4_K_M
Nemotron 3.5 Lightning 30B-A3B45tok/sUD-Q5_K_M26tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B57tok/sQ4_K_M33tok/sQ5_K_M
gpt-oss 20B30tok/sMXFP419tok/sMXFP4
Qwen3 Coder 30B-A3B11tok/sQ4_K_M7tok/sQ5_K_M
Gemma 4 12B20tok/sQ8_012tok/sQ8_0
Qwen 3.5 9B22tok/sQ8_013tok/sQ8_0
Gemma 3 27B10tok/sQ5_K_M5tok/sQ6_K
Mistral Small 3.2 24Boffload5tok/sQ4_K_M
Qwen3 14B10tok/sQ4_K_M5tok/sQ8_0
Ministral 3 14B10tok/sQ5_K_M5tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B11tok/sQ8_06tok/sQ8_0
Qwen3 8B11tok/sQ8_06tok/sQ8_0
Phi-4 14Boffload5tok/sQ4_K_M
Qwen 3.5 4B34tok/sQ8_020tok/sQ8_0
Ministral 3 8B11tok/sQ8_07tok/sQ8_0
Granite 4.2 8B10tok/sQ8_06tok/sQ8_0
Gemma 4 E4B25tok/sQ8_015tok/sQ8_0
LFM2.5 8B-A1B22tok/sQ8_014tok/sQ8_0
Llama 3.1 8B13tok/sQ6_K8tok/sQ6_K
Qwen2.5 0.5B142tok/sQ8_083tok/sQ8_0
Qwen3.5 0.8B125tok/sQ8_073tok/sQ8_0
Qwen3.5 2B99tok/sQ5_K_M58tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B54tok/sQ8_031tok/sQ8_0
Spark X2.5 4B38tok/smlx-4bit22tok/smlx-4bit
MiniCPM5 2B37tok/sQ8_021tok/sQ8_0
Mellum2.1 12B A2.5B Thinking37tok/sQ8_023tok/sQ8_0
FrogNano 4B 260934tok/sQ8_020tok/sQ8_0
LFM2.5 2.6B28tok/sQ8_016tok/sQ8_0
LFM2.5 VL 3B28tok/sQ8_016tok/sQ8_0
Kimi VL A3B Thinking 250623tok/sQ8_015tok/sQ8_0
Kimi VL A3B23tok/smlx-8bit15tok/smlx-8bit
GLM 4 9B 041422tok/smlx-5bit13tok/smlx-5bit
granite vision 4.1 4b21tok/sQ8_012tok/sQ8_0
granite 4.2 3b21tok/sQ8_012tok/sQ8_0
GLM 4.6V Flash20tok/sQ8_012tok/sQ8_0
DeepSeek R1 Distill Qwen 7B20tok/sQ8_011tok/sQ8_0
GLM 4.1V 9B Thinking18tok/smlx-8bit10tok/smlx-8bit
Ministral 3 3B Instruct 251217tok/sQ8_010tok/sQ8_0
LFM2.5 24B A2B14tok/sQ5_K_M8tok/sQ8_0
Muse Glimmer 30B12tok/sQ6_K5tok/sQ8_0
DeepSeek R1 Distill Llama 8B12tok/sQ8_07tok/sQ8_0
Ministral 3 8B Reasoning 251211tok/sQ8_07tok/sQ8_0
Qwen3.8 27B OBLITERATED10tok/smlx-4bit6tok/smlx-4bit
Ministral 3 14B Reasoning 251210tok/sQ5_K_M5tok/sQ8_0
DeepSeek R1 Distill Qwen 14Boffload5tok/sQ5_K_M
Devstral Small 2507offload5tok/sQ4_K_M
Magistral Small 2506offload5tok/sQ4_K_M
Magistral Small 2507offload5tok/sQ4_K_M
Magistral Small 2509offload5tok/sQ4_K_M
Qwen 3.5 122B-A10Boffloadwon't run
Qwen3 Coder Nextoffloadwon't run
Nemotron 3 Super 120B-A12Boffloadwon't run
Mistral Small 4 119Boffloadwon't run
Qwen3 Next 80B-A3Boffloadwon't run
Qwen3 32Boffloadwon't run
DeepSeek R1 Distill Qwen 32Boffloadwon't run
granite 4.2 30boffloadwon't run
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi Dev 72Bwon't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the Intel Arc Pro B70 or the Mac mini M4 Pro 48GB?
Choose the Mac mini M4 Pro 48GB to run bigger models. Choose the Intel Arc Pro B70 for speed. Choose the Intel Arc Pro B70 to spend less.
Which can run bigger models, the Intel Arc Pro B70 or the Mac mini M4 Pro 48GB?
At 128k context the Mac mini M4 Pro 48GB runs 58 of the models we track fully in memory and the Intel Arc Pro B70 50; only the Mac mini M4 Pro 48GB holds Devstral Small 2 24B.
Which is faster for local AI, the Intel Arc Pro B70 or the Mac mini M4 Pro 48GB?
On the models both run fully in memory, the Intel Arc Pro B70 is about 1.7× as fast as the Mac mini M4 Pro 48GB (estimated, median across models).
What is the price difference between the Intel Arc Pro B70 and the Mac mini M4 Pro 48GB?
In the US the Intel Arc Pro B70 costs $1,900 at eBay and the Mac mini M4 Pro 48GB $2,199 at eBay: the Intel Arc Pro B70 is $299 cheaper.

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