readygpu

Intel Arc Pro B70 vs Mac mini M4 Pro 48GB

For running models locally, priced in the US. At 32k context the first runs 61 models fully in memory, the second 61.

In short

The Mac mini M4 Pro 48GB has more memory for models: 48 GB against 32 GB. At 32k context both run the same 61 models we track fully in memory. 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.

Intel Arc Pro B70

$1,900

eBay

Add to build
Mac mini M4 Pro 48GB

$2,199

eBay

Add to build

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/sQ8_06tok/sQ8_0
Qwen 3.6 27B10tok/sQ8_06tok/sQ8_0
Gemma 4 31B11tok/sQ6_K5tok/sQ8_0
Qwen 3.6 35B-A3B50tok/sQ6_K28tok/sQ8_0
Qwen 3.5 27B10tok/sQ8_06tok/sQ8_0
Gemma 4 26B-A4B33tok/sQ8_021tok/sQ8_0
Qwen 3.5 35B-A3B53tok/sQ6_K28tok/sQ8_0
GLM 4.7 Flash29tok/sQ6_K15tok/sQ8_0
Devstral Small 2 24B10tok/sQ8_06tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B54tok/sUD-Q5_K_M30tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B78tok/sQ4_K_M44tok/sQ5_K_M
gpt-oss 20B52tok/sMXFP433tok/sMXFP4
Qwen3 Coder 30B-A3B29tok/sQ6_K17tok/sQ8_0
Qwen3 32B10tok/sQ5_K_M5tok/sQ6_K
Gemma 4 12B22tok/sQ8_013tok/sQ8_0
Qwen 3.5 9B29tok/sQ8_017tok/sQ8_0
Mistral Small 3.2 24B10tok/sQ8_06tok/sQ8_0
Gemma 3 27B10tok/sQ8_06tok/sQ8_0
DeepSeek R1 Distill Qwen 32B10tok/sQ5_K_M5tok/sQ6_K
Ministral 3 14B15tok/sQ8_09tok/sQ8_0
Qwen3 14B14tok/sQ8_08tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B22tok/sQ8_013tok/sQ8_0
Qwen3 8B22tok/sQ8_013tok/sQ8_0
Phi-4 14B14tok/sQ8_08tok/sQ8_0
Qwen 3.5 4B54tok/sQ8_032tok/sQ8_0
Ministral 3 8B22tok/sQ8_013tok/sQ8_0
Granite 4.2 8B21tok/sQ8_012tok/sQ8_0
Gemma 4 E4B33tok/sQ8_019tok/sQ8_0
LFM2.5 8B-A1B63tok/sQ8_040tok/sQ8_0
Llama 3.1 8B28tok/sQ6_K16tok/sQ6_K
Qwen2.5 0.5B326tok/sQ8_0190tok/sQ8_0
Qwen3.5 0.8B247tok/sQ8_0144tok/sQ8_0
Qwen3.5 2B164tok/sQ5_K_M96tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B107tok/sQ8_063tok/sQ8_0
MiniCPM5 2B74tok/sQ8_043tok/sQ8_0
Spark X2.5 4B71tok/smlx-4bit41tok/smlx-4bit
LFM2.5 2.6B62tok/sQ8_036tok/sQ8_0
LFM2.5 VL 3B62tok/sQ8_036tok/sQ8_0
FrogNano 4B 260953tok/sQ8_031tok/sQ8_0
Mellum2.1 12B A2.5B Thinking53tok/sQ8_034tok/sQ8_0
granite vision 4.1 4b48tok/sQ8_028tok/sQ8_0
granite 4.2 3b46tok/sQ8_027tok/sQ8_0
Ministral 3 3B Instruct 251243tok/sQ8_025tok/sQ8_0
Kimi VL A3B Thinking 250641tok/sQ8_026tok/sQ8_0
Kimi VL A3B39tok/smlx-8bit25tok/smlx-8bit
LFM2.5 24B A2B35tok/sQ8_022tok/sQ8_0
GLM 4 9B 041432tok/smlx-5bit19tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B31tok/sQ8_018tok/sQ8_0
GLM 4.6V Flash27tok/sQ8_016tok/sQ8_0
DeepSeek R1 Distill Llama 8B24tok/sQ8_014tok/sQ8_0
GLM 4.1V 9B Thinking23tok/smlx-8bit14tok/smlx-8bit
Ministral 3 8B Reasoning 251222tok/sQ8_013tok/sQ8_0
Ministral 3 14B Reasoning 251215tok/sQ8_09tok/sQ8_0
DeepSeek R1 Distill Qwen 14B14tok/sQ8_08tok/sQ8_0
Qwen3.8 27B OBLITERATED13tok/smlx-4bit8tok/smlx-4bit
Muse Glimmer 30B13tok/sQ6_K5tok/sQ8_0
granite 4.2 30b10tok/sQ5_K_M5tok/sQ6_K
Devstral Small 250710tok/sQ8_06tok/sQ8_0
Magistral Small 250610tok/sQ8_06tok/sQ8_0
Magistral Small 250710tok/sQ8_06tok/sQ8_0
Magistral Small 250910tok/sQ8_06tok/sQ8_0
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
GLM 4.5 Airoffloadwon't run
Qwen3 Next 80B-A3Boffloadwon't run
Llama 3.3 70Boffloadwon't run
DeepSeek R1 Distill Llama 70Boffloadwon'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
DeepSeek R1won't runwon't run
DeepSeek R1 0528won'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 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 32k context both run the same 61 models we track fully in memory.
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.

More comparisons

More hardware for local AI