Intel Arc B580 vs Mac mini M4 16GB

For running models locally, priced in the UK. At 32k context the first runs 27 models fully in memory, the second 26.

In short

The Mac mini M4 16GB has more memory for models: 16 GB against 12 GB. At 32k context the Intel Arc B580 runs 27 of the models we track fully in memory and the Mac mini M4 16GB 26; only the Intel Arc B580 holds Granite 4.2 8B. On the models both run fully in memory, the Intel Arc B580 is about 2.9× as fast as the Mac mini M4 16GB (estimated, median across models). In the UK the Intel Arc B580 costs £700 at eBay and the Mac mini M4 16GB £765 at eBay: the Intel Arc B580 is £65 cheaper.

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

Specifications

SpecIntel Arc B580Mac mini M4 16GB
GPUArc B580–
Memory12 GB GDDR6–
Memory bus192-bit128-bit
Memory bandwidth456 GB/s120 GB/s
FP16 compute116.5 TFLOPS3.76 TFLOPS
SoftwareSYCL / oneAPIMetal
Board power190 W–
PCIe generationGen 4–
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 B580Mac mini M4 16GB
Gemma 4 12B21tok/sQ6_K8tok/sQ5_K_M
Qwen 3.5 9B21tok/sQ8_09tok/sQ6_K
DeepSeek R1 0528 Qwen3 8B21tok/sQ5_K_M8tok/sQ4_K_M
Qwen3 8B21tok/sQ5_K_M8tok/sQ4_K_M
Qwen 3.5 4B41tok/sQ8_014tok/sQ8_0
Ministral 3 8B22tok/sQ5_K_M7tok/sQ5_K_M
Granite 4.2 8B21tok/sQ4_K_Mwon't run
Gemma 4 E4B25tok/sQ8_09tok/sQ8_0
LFM2.5 8B-A1B47tok/sQ8_018tok/sQ8_0
Llama 3.1 8B21tok/sQ6_K8tok/sQ5_K_M
Qwen2.5 0.5B244tok/sQ8_084tok/sQ8_0
Qwen3.5 0.8B185tok/sQ8_063tok/sQ8_0
Qwen3.5 2B123tok/sQ5_K_M42tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B81tok/sQ8_028tok/sQ8_0
MiniCPM5 2B56tok/sQ8_019tok/sQ8_0
Spark X2.5 4B53tok/smlx-4bit18tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking49tok/sQ5_K_M18tok/sQ5_K_M
LFM2.5 2.6B47tok/sQ8_016tok/sQ8_0
LFM2.5 VL 3B47tok/sQ8_016tok/sQ8_0
FrogNano 4B 260940tok/sQ8_014tok/sQ8_0
granite vision 4.1 4b36tok/sQ8_012tok/sQ8_0
granite 4.2 3b35tok/sQ8_012tok/sQ8_0
GLM 4.6V Flash30tok/sQ4_K_M10tok/sQ4_K_M
GLM 4 9B 041424tok/smlx-5bit8tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B23tok/sQ8_08tok/sQ8_0
Ministral 3 8B Reasoning 251222tok/sQ5_K_M7tok/sQ5_K_M
DeepSeek R1 Distill Llama 8B21tok/sQ6_K8tok/sQ5_K_M
Qwen 3.8 27Boffloadwon't run
Qwen 3.6 27Boffloadwon't run
Gemma 4 31Boffloadwon't run
Qwen 3.6 35B-A3Boffloadwon't run
Qwen 3.5 27Boffloadwon't run
Gemma 4 26B-A4Boffloadwon'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
gpt-oss 20Boffloadwon't run
Kimi Linear 48B-A3Boffloadwon't run
Qwen3 Coder 30B-A3Boffloadwon't run
Qwen3 32Boffloadwon't run
Gemma 3 27Boffloadwon't run
Mistral Small 3.2 24Boffloadwon't run
DeepSeek R1 Distill Qwen 32Boffloadwon't run
Ministral 3 14Boffloadwon't run
Qwen3 14Boffloadwon't run
Phi-4 14Boffloadwon't run
Kimi VL A3B Thinking 2506offloadwon't run
Kimi VL A3Boffloadwon't run
LFM2.5 24B A2Boffloadwon't run
GLM 4.1V 9B Thinkingoffloadwon'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
Qwen3.8 27B OBLITERATEDoffloadwon'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
Qwen 3.5 122B-A10Bwon'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
Mistral Small 4 119Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon'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

Questions

Which is better for local AI, the Intel Arc B580 or the Mac mini M4 16GB?
Choose the Intel Arc B580 to run bigger models. Choose the Intel Arc B580 for speed. Choose the Intel Arc B580 to spend less.
Which can run bigger models, the Intel Arc B580 or the Mac mini M4 16GB?
At 32k context the Intel Arc B580 runs 27 of the models we track fully in memory and the Mac mini M4 16GB 26; only the Intel Arc B580 holds Granite 4.2 8B.
Which is faster for local AI, the Intel Arc B580 or the Mac mini M4 16GB?
On the models both run fully in memory, the Intel Arc B580 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 B580 and the Mac mini M4 16GB?
In the UK the Intel Arc B580 costs £700 at eBay and the Mac mini M4 16GB £765 at eBay: the Intel Arc B580 is £65 cheaper.

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