Intel Arc A770 16GB vs Mac mini M4 32GB
For running models locally, priced in the US. At 32k context the first runs 36 models fully in memory, the second 55.
In short
The Mac mini M4 32GB has more memory for models: 32 GB against 16 GB. At 32k context the Mac mini M4 32GB runs 55 of the models we track fully in memory and the Intel Arc A770 16GB 36; only the Mac mini M4 32GB holds Qwen 3.8 27B. On the models both run fully in memory, the Intel Arc A770 16GB is about 3.6× as fast as the Mac mini M4 32GB (estimated, median across models). In the US the Intel Arc A770 16GB costs $425 at eBay and the Mac mini M4 32GB $1,330 at eBay: the Intel Arc A770 16GB is $905 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc A770 16GB | Mac mini M4 32GB |
|---|---|---|
| GPU | Arc A770 16GB | – |
| Memory | 16 GB GDDR6 | – |
| Memory bus | 256-bit | 128-bit |
| Memory bandwidth | 560 GB/s | 120 GB/s |
| FP16 compute | 131 TFLOPS | 3.76 TFLOPS |
| Software | SYCL / oneAPI | Metal |
| Board power | 225 W | – |
| PCIe generation | Gen 4 | – |
| PCIe lanes | x16 | – |
| 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.
| Model | Intel Arc A770 16GB | Mac mini M4 32GB |
|---|---|---|
| Qwen 3.8 27B | offload | 4tok/sQ4_K_M |
| Qwen 3.6 27B | offload | 4tok/sQ5_K_M |
| Gemma 4 31B | offload | 4tok/sQ4_K_M |
| Qwen 3.5 27B | offload | 4tok/sQ5_K_M |
| Gemma 4 26B-A4B | offload | 12tok/sQ5_K_M |
| GLM 4.7 Flash | offload | 10tok/sQ4_K_M |
| Devstral Small 2 24B | offload | 4tok/sQ4_K_M |
| gpt-oss 20B | 48tok/sMXFP4 | 15tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | offload | 9tok/sQ4_K_M |
| Gemma 4 12B | 21tok/sQ8_0 | 6tok/sQ8_0 |
| Qwen 3.5 9B | 26tok/sQ8_0 | 7tok/sQ8_0 |
| Gemma 3 27B | offload | 4tok/sQ4_K_M |
| Mistral Small 3.2 24B | offload | 4tok/sQ4_K_M |
| Qwen3 14B | 20tok/sQ4_K_M | 4tok/sQ8_0 |
| Ministral 3 14B | 19tok/sQ5_K_M | 4tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 21tok/sQ8_0 | 6tok/sQ8_0 |
| Qwen3 8B | 21tok/sQ8_0 | 6tok/sQ8_0 |
| Phi-4 14B | offload | 4tok/sQ6_K |
| Qwen 3.5 4B | 50tok/sQ8_0 | 14tok/sQ8_0 |
| Ministral 3 8B | 21tok/sQ8_0 | 6tok/sQ8_0 |
| Granite 4.2 8B | 19tok/sQ8_0 | 5tok/sQ8_0 |
| Gemma 4 E4B | 31tok/sQ8_0 | 9tok/sQ8_0 |
| LFM2.5 8B-A1B | 58tok/sQ8_0 | 18tok/sQ8_0 |
| Llama 3.1 8B | 26tok/sQ6_K | 7tok/sQ6_K |
| Qwen2.5 0.5B | 300tok/sQ8_0 | 84tok/sQ8_0 |
| Qwen3.5 0.8B | 227tok/sQ8_0 | 63tok/sQ8_0 |
| Qwen3.5 2B | 151tok/sQ5_K_M | 42tok/sQ5_K_M |
| LFM3 1.7B | 124tok/sQ8_0 | 35tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 1.5B | 99tok/sQ8_0 | 28tok/sQ8_0 |
| MiniCPM5 2B | 69tok/sQ8_0 | 19tok/sQ8_0 |
| Spark X2.5 4B | 65tok/smlx-4bit | 18tok/smlx-4bit |
| LFM2.5 2.6B | 57tok/sQ8_0 | 16tok/sQ8_0 |
| LFM2.5 VL 3B | 57tok/sQ8_0 | 16tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 52tok/sQ4_K_M | 11tok/sQ8_0 |
| FrogNano 4B 2609 | 49tok/sQ8_0 | 14tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 49tok/sQ8_0 | 15tok/sQ8_0 |
| granite vision 4.1 4b | 44tok/sQ8_0 | 12tok/sQ8_0 |
| Kimi VL A3B | 43tok/smlx-6bit | 11tok/smlx-8bit |
| granite 4.2 3b | 43tok/sQ8_0 | 12tok/sQ8_0 |
| Ministral 3 3B Instruct 2512 | 39tok/sQ8_0 | 11tok/sQ8_0 |
| GLM 4 9B 0414 | 29tok/smlx-5bit | 8tok/smlx-5bit |
| DeepSeek R1 Distill Qwen 7B | 28tok/sQ8_0 | 8tok/sQ8_0 |
| GLM 4.6V Flash | 25tok/sQ8_0 | 7tok/sQ8_0 |
| DeepSeek R1 Distill Llama 8B | 22tok/sQ8_0 | 6tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 21tok/smlx-8bit | 6tok/smlx-8bit |
| Ministral 3 8B Reasoning 2512 | 21tok/sQ8_0 | 6tok/sQ8_0 |
| Ministral 3 14B Reasoning 2512 | 19tok/sQ5_K_M | 4tok/sQ8_0 |
| LFM2.5 24B A2B | offload | 11tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 14B | offload | 4tok/sQ6_K |
| Muse Glimmer 30B | offload | 4tok/sQ5_K_M |
| AREX 2 | offload | 4tok/sQ4_K_M |
| Devstral Small 2507 | offload | 4tok/sQ4_K_M |
| Magistral Small 2506 | offload | 4tok/sQ4_K_M |
| Magistral Small 2507 | offload | 4tok/sQ4_K_M |
| Magistral Small 2509 | offload | 4tok/sQ4_K_M |
| Qwen 3.5 122B-A10B | offload | won't run |
| Mistral Small 4 119B | offload | won't run |
| Qwen 3.6 35B-A3B | offload | won't run |
| Qwen 3.5 35B-A3B | offload | won't run |
| Nemotron 3.5 Lightning 30B-A3B | offload | won't run |
| Kimi Linear 48B-A3B | offload | won't run |
| Qwen3 32B | offload | won't run |
| DeepSeek R1 Distill Qwen 32B | offload | won't run |
| Qwen3.8 27B OBLITERATED | offload | won't run |
| granite 4.2 30b | offload | won't run |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| Qwen3 Coder Next | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Qwen3 Next 80B-A3B | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Distill Llama 70B | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Hy4 preview | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the Intel Arc A770 16GB or the Mac mini M4 32GB?
- Choose the Mac mini M4 32GB to run bigger models. Choose the Intel Arc A770 16GB for speed. Choose the Intel Arc A770 16GB to spend less.
- Which can run bigger models, the Intel Arc A770 16GB or the Mac mini M4 32GB?
- At 32k context the Mac mini M4 32GB runs 55 of the models we track fully in memory and the Intel Arc A770 16GB 36; only the Mac mini M4 32GB holds Qwen 3.8 27B.
- Which is faster for local AI, the Intel Arc A770 16GB or the Mac mini M4 32GB?
- On the models both run fully in memory, the Intel Arc A770 16GB is about 3.6× as fast as the Mac mini M4 32GB (estimated, median across models).
- What is the price difference between the Intel Arc A770 16GB and the Mac mini M4 32GB?
- In the US the Intel Arc A770 16GB costs $425 at eBay and the Mac mini M4 32GB $1,330 at eBay: the Intel Arc A770 16GB is $905 cheaper.
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