Intel Arc Pro B60 vs Mac mini M4 16GB

For running models locally, priced in Canada. At 128k context the first runs 23 models fully in memory, the second 11.

In short

The Intel Arc Pro B60 has more memory for models: 24 GB against 16 GB. At 128k context the Intel Arc Pro B60 runs 23 of the models we track fully in memory and the Mac mini M4 16GB 11; only the Intel Arc Pro B60 holds Gemma 4 26B-A4B. On the models both run fully in memory, the Intel Arc Pro B60 is about 2.9× as fast as the Mac mini M4 16GB (estimated, median across models). In Canada the Intel Arc Pro B60 costs $1,060 at Amazon and the Mac mini M4 16GB $1,399 at Amazon: the Intel Arc Pro B60 is $339 cheaper.

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

Specifications

SpecIntel Arc Pro B60Mac mini M4 16GB
GPUArc Pro B60–
Memory24 GB GDDR6–
Memory bus192-bit128-bit
Memory bandwidth456 GB/s120 GB/s
FP16 compute98.5 TFLOPS3.76 TFLOPS
SoftwareSYCL / oneAPIMetal
Board power200 W–
PCIe generationGen 5–
PCIe lanesx8–
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 B60Mac mini M4 16GB
Gemma 4 26B-A4B21tok/sQ5_K_Mwon't run
gpt-oss 20B22tok/sMXFP4won't run
Gemma 4 12B15tok/sQ8_08tok/sQ4_K_M
Qwen 3.5 9B16tok/sQ8_08tok/sQ4_K_M
Qwen 3.5 4B26tok/sQ8_09tok/sQ8_0
Gemma 4 E4B19tok/sQ8_08tok/sQ5_K_M
LFM2.5 8B-A1B17tok/sQ8_0won't run
Llama 3.1 8B10tok/sQ5_K_Mwon't run
Qwen2.5 0.5B107tok/sQ8_036tok/sQ8_0
Qwen3.5 0.8B93tok/sQ8_032tok/sQ8_0
Qwen3.5 2B74tok/sQ5_K_M26tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B40tok/sQ8_014tok/sQ8_0
Mellum2.1 12B A2.5B Thinking27tok/sQ8_0won't run
MiniCPM5 2B27tok/sQ8_09tok/sQ8_0
LFM2.5 2.6B21tok/sQ8_08tok/sQ5_K_M
LFM2.5 VL 3B21tok/sQ8_08tok/sQ5_K_M
Kimi VL A3B17tok/smlx-8bitwon't run
granite vision 4.1 4b16tok/sQ8_0won't run
granite 4.2 3b16tok/sQ8_0won't run
GLM 4.6V Flash15tok/sQ8_0won't run
DeepSeek R1 Distill Qwen 7B15tok/sQ8_0won't run
GLM 4.1V 9B Thinking13tok/smlx-8bitwon't run
DeepSeek R1 Distill Llama 8B10tok/sQ5_K_Mwon't run
Qwen 3.8 27Boffloadwon't run
Qwen 3.5 122B-A10Boffloadwon't run
Qwen 3.6 27Boffloadwon't run
Gemma 4 31Boffloadwon't run
Mistral Small 4 119Boffloadwon't run
Qwen 3.6 35B-A3Boffloadwon't run
Qwen 3.5 27Boffloadwon't run
Qwen 3.5 35B-A3Boffloadwon't run
GLM 4.7 Flashoffloadwon't run
Devstral Small 2 24Boffloadwon't run
Nemotron 3.5 Lightning 30B-A3Boffloadwon't run
Kimi Linear 48B-A3Boffloadwon't run
Qwen3 Coder 30B-A3Boffloadwon't run
Gemma 3 27Boffloadwon't run
Mistral Small 3.2 24Boffloadwon't run
Ministral 3 14Boffloadwon't run
Qwen3 14Boffloadwon't run
DeepSeek R1 0528 Qwen3 8Boffloadwon't run
Qwen3 8Boffloadwon't run
Phi-4 14Boffloadwon't run
Ministral 3 8Boffloadwon't run
Granite 4.2 8Boffloadwon't run
Ministral 3 8B Reasoning 2512offloadwon't run
LFM2.5 24B A2Boffloadwon't run
DeepSeek R1 Distill Qwen 14Boffloadwon't run
Devstral Small 2507offloadwon't run
Magistral Small 2506offloadwon't run
Magistral Small 2507offloadwon't run
Magistral Small 2509offloadwon'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
Nemotron 3 Super 120B-A12Bwon't runwon't run
Qwen3 Coder Nextwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon't runwon't run
Qwen3 32Bwon't runwon't run
DeepSeek R1 Distill Qwen 32Bwon'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 V3 0324won't runwon't run
DeepSeek V3.1won'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 4.5Vwon't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won'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 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
granite 4.2 30bwon't runwon't run

Questions

Which is better for local AI, the Intel Arc Pro B60 or the Mac mini M4 16GB?
Choose the Intel Arc Pro B60 to run bigger models. Choose the Intel Arc Pro B60 for speed. Choose the Intel Arc Pro B60 to spend less.
Which can run bigger models, the Intel Arc Pro B60 or the Mac mini M4 16GB?
At 128k context the Intel Arc Pro B60 runs 23 of the models we track fully in memory and the Mac mini M4 16GB 11; only the Intel Arc Pro B60 holds Gemma 4 26B-A4B.
Which is faster for local AI, the Intel Arc Pro B60 or the Mac mini M4 16GB?
On the models both run fully in memory, the Intel Arc Pro B60 is about 2.9× as fast as the Mac mini M4 16GB (estimated, median across models).
What is the price difference between the Intel Arc Pro B60 and the Mac mini M4 16GB?
In Canada the Intel Arc Pro B60 costs $1,060 at Amazon and the Mac mini M4 16GB $1,399 at Amazon: the Intel Arc Pro B60 is $339 cheaper.

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