Intel Arc Pro B60 vs Mac mini M4 32GB

For running models locally, priced in the US. At 128k context the first runs 27 models fully in memory, the second 25.

In short

The Mac mini M4 32GB has more memory for models: 32 GB against 24 GB. At 128k context the Intel Arc Pro B60 runs 27 of the models we track fully in memory and the Mac mini M4 32GB 25; only the Intel Arc Pro B60 holds Llama 3.1 8B. On the models both run fully in memory, the Intel Arc Pro B60 is about 2.9× as fast as the Mac mini M4 32GB (estimated, median across models). In the US the Intel Arc Pro B60 costs $1,047 at eBay and the Mac mini M4 32GB $1,420 at eBay: the Intel Arc Pro B60 is $373 cheaper.

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

Specifications

SpecIntel Arc Pro B60Mac mini M4 32GB
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–32 GB
GPU can use by default–21.3 GB
GPU can use, tuned–24 GB
Operating system–macos
Processor–M4 10-core
Storage–512 GB

What each runs

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

ModelIntel Arc Pro B60Mac mini M4 32GB
Gemma 4 26B-A4B21tok/sQ5_K_M9tok/sQ4_K_M
gpt-oss 20B22tok/sMXFP48tok/sMXFP4
Gemma 4 12B15tok/sQ8_05tok/sQ8_0
Qwen 3.5 9B16tok/sQ8_06tok/sQ8_0
Qwen 3.5 4B26tok/sQ8_09tok/sQ8_0
Gemma 4 E4B19tok/sQ8_07tok/sQ8_0
LFM2.5 8B-A1B17tok/sQ8_06tok/sQ8_0
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
Spark X2.5 4B29tok/smlx-4bit10tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking27tok/sQ8_010tok/sQ8_0
MiniCPM5 2B27tok/sQ8_09tok/sQ8_0
FrogNano 4B 260925tok/sQ8_09tok/sQ8_0
LFM2.5 2.6B21tok/sQ8_07tok/sQ8_0
LFM2.5 VL 3B21tok/sQ8_07tok/sQ8_0
Kimi VL A3B Thinking 250618tok/sQ8_07tok/sQ8_0
Kimi VL A3B17tok/smlx-8bit7tok/smlx-6bit
GLM 4 9B 041417tok/smlx-5bit6tok/smlx-5bit
granite vision 4.1 4b16tok/sQ8_05tok/sQ8_0
granite 4.2 3b16tok/sQ8_05tok/sQ8_0
GLM 4.6V Flash15tok/sQ8_05tok/sQ8_0
DeepSeek R1 Distill Qwen 7B15tok/sQ8_05tok/sQ8_0
GLM 4.1V 9B Thinking13tok/smlx-8bit5tok/smlx-8bit
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
Qwen3.8 27B OBLITERATEDoffloadwon'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 R1 Zerowon'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
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 32GB?
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 32GB?
At 128k context the Intel Arc Pro B60 runs 27 of the models we track fully in memory and the Mac mini M4 32GB 25; only the Intel Arc Pro B60 holds Llama 3.1 8B.
Which is faster for local AI, the Intel Arc Pro B60 or the Mac mini M4 32GB?
On the models both run fully in memory, the Intel Arc Pro B60 is about 2.9× as fast as the Mac mini M4 32GB (estimated, median across models).
What is the price difference between the Intel Arc Pro B60 and the Mac mini M4 32GB?
In the US the Intel Arc Pro B60 costs $1,047 at eBay and the Mac mini M4 32GB $1,420 at eBay: the Intel Arc Pro B60 is $373 cheaper.

More comparisons