Intel Arc Pro B70 vs Mac mini M4 16GB

For running models locally, priced in Canada. At 64k context the first runs 58 models fully in memory, the second 21.

In short

The Intel Arc Pro B70 has more memory for models: 32 GB against 16 GB. At 64k context the Intel Arc Pro B70 runs 58 of the models we track fully in memory and the Mac mini M4 16GB 21; only the Intel Arc Pro B70 holds Qwen 3.8 27B. On the models both run fully in memory, the Intel Arc Pro B70 is about 3.9× as fast as the Mac mini M4 16GB (estimated, median across models). In Canada the Intel Arc Pro B70 costs $1,961 at Amazon and the Mac mini M4 16GB $741 at Amazon: the Mac mini M4 16GB is $1,220 cheaper.

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

Specifications

SpecIntel Arc Pro B70Mac mini M4 16GB
GPUArc Pro B70–
Memory32 GB GDDR6–
Memory bus256-bit128-bit
Memory bandwidth608 GB/s120 GB/s
FP16 compute45.8 TFLOPS3.76 TFLOPS
SoftwareSYCL / oneAPIMetal
Board power230 W–
PCIe generationGen 5–
PCIe lanesx16–
Chip–Apple M4 (10-core GPU)
Unified memory–16 GB
GPU can use by default–10.7 GB
GPU can use, tuned–10.666666666666666 GB
Operating system–macos
Processor–M4 10-core
Storage–256 GB

What each runs

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

ModelIntel Arc Pro B70Mac mini M4 16GB
Qwen 3.8 27B11tok/sQ6_Kwon't run
Qwen 3.6 27B11tok/sQ6_Kwon't run
Gemma 4 31B10tok/sQ6_Kwon't run
Qwen 3.6 35B-A3B43tok/sUD-Q6_Kwon't run
Qwen 3.5 27B11tok/sQ6_Kwon't run
Gemma 4 26B-A4B29tok/sQ8_0won't run
Qwen 3.5 35B-A3B44tok/sQ6_Kwon't run
GLM 4.7 Flash22tok/sQ6_Kwon't run
Devstral Small 2 24B10tok/sQ6_Kwon't run
Nemotron 3.5 Lightning 30B-A3B50tok/sUD-Q5_K_Mwon't run
Kimi Linear 48B-A3B70tok/sQ4_K_Mwon't run
gpt-oss 20B41tok/sMXFP4won't run
Qwen3 Coder 30B-A3B19tok/sQ6_Kwon't run
Gemma 4 12B22tok/sQ8_08tok/sQ5_K_M
Qwen 3.5 9B26tok/sQ8_08tok/sQ6_K
Gemma 3 27B11tok/sQ6_Kwon't run
Mistral Small 3.2 24B10tok/sQ6_Kwon't run
Ministral 3 14B12tok/sQ8_0won't run
Qwen3 14B12tok/sQ8_0won't run
DeepSeek R1 0528 Qwen3 8B17tok/sQ8_0won't run
Qwen3 8B17tok/sQ8_0won't run
Phi-4 14B11tok/sQ8_0won't run
Qwen 3.5 4B46tok/sQ8_012tok/sQ8_0
Ministral 3 8B17tok/sQ8_0won't run
Granite 4.2 8B15tok/sQ8_0won't run
Gemma 4 E4B30tok/sQ8_08tok/sQ8_0
LFM2.5 8B-A1B39tok/sQ8_012tok/sUD-Q6_K
Llama 3.1 8B20tok/sQ6_Kwon't run
Qwen2.5 0.5B228tok/sQ8_058tok/sQ8_0
Qwen3.5 0.8B186tok/sQ8_048tok/sQ8_0
Qwen3.5 2B135tok/sQ5_K_M35tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B81tok/sQ8_021tok/sQ8_0
MiniCPM5 2B55tok/sQ8_014tok/sQ8_0
Spark X2.5 4B55tok/smlx-4bit14tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking46tok/sQ8_017tok/sQ4_K_M
FrogNano 4B 260945tok/sQ8_011tok/sQ8_0
LFM2.5 2.6B44tok/sQ8_011tok/sQ8_0
LFM2.5 VL 3B44tok/sQ8_011tok/sQ8_0
granite vision 4.1 4b34tok/sQ8_09tok/sQ8_0
granite 4.2 3b33tok/sQ8_08tok/sQ8_0
Kimi VL A3B Thinking 250633tok/sQ8_0won't run
Kimi VL A3B32tok/smlx-8bitwon't run
Ministral 3 3B Instruct 251229tok/sQ8_08tok/sQ6_K
GLM 4 9B 041428tok/smlx-5bit8tok/smlx-4bit
DeepSeek R1 Distill Qwen 7B26tok/sQ8_08tok/sQ6_K
GLM 4.6V Flash24tok/sQ8_09tok/sQ4_K_M
LFM2.5 24B A2B22tok/sQ8_0won't run
GLM 4.1V 9B Thinking21tok/smlx-8bitwon't run
DeepSeek R1 Distill Llama 8B18tok/sQ8_0won't run
Ministral 3 8B Reasoning 251217tok/sQ8_0won't run
Muse Glimmer 30B13tok/sQ6_Kwon't run
Ministral 3 14B Reasoning 251212tok/sQ8_0won't run
Qwen3.8 27B OBLITERATED12tok/smlx-4bitwon't run
Devstral Small 250711tok/sQ5_K_Mwon't run
Magistral Small 250711tok/sQ5_K_Mwon't run
Magistral Small 250911tok/sQ5_K_Mwon't run
DeepSeek R1 Distill Qwen 14B11tok/sQ8_0won't run
Magistral Small 250610tok/sQ6_Kwon't run
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
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
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 16GB?
Choose the Intel Arc Pro B70 to run bigger models. Choose the Intel Arc Pro B70 for speed. Choose the Mac mini M4 16GB to spend less.
Which can run bigger models, the Intel Arc Pro B70 or the Mac mini M4 16GB?
At 64k context the Intel Arc Pro B70 runs 58 of the models we track fully in memory and the Mac mini M4 16GB 21; only the Intel Arc Pro B70 holds Qwen 3.8 27B.
Which is faster for local AI, the Intel Arc Pro B70 or the Mac mini M4 16GB?
On the models both run fully in memory, the Intel Arc Pro B70 is about 3.9× as fast as the Mac mini M4 16GB (estimated, median across models).
What is the price difference between the Intel Arc Pro B70 and the Mac mini M4 16GB?
In Canada the Intel Arc Pro B70 costs $1,961 at Amazon and the Mac mini M4 16GB $741 at Amazon: the Mac mini M4 16GB is $1,220 cheaper.

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