readygpu

Mac mini M4 32GB vs AMD Radeon RX 7800 XT

For running models locally, priced in Germany. At 8k context the first runs 54 models fully in memory, the second 34.

In short

The Mac mini M4 32GB has more memory for models: 32 GB against 16 GB. At 8k context the Mac mini M4 32GB runs 54 of the models we track fully in memory and the AMD Radeon RX 7800 XT 34; only the Mac mini M4 32GB holds Qwen 3.8 27B. On the models both run fully in memory, the AMD Radeon RX 7800 XT is about 4.4× as fast as the Mac mini M4 32GB (estimated, median across models). In Germany the Mac mini M4 32GB costs 1.450 € at eBay (used) and the AMD Radeon RX 7800 XT 1.278 € at Amazon: the AMD Radeon RX 7800 XT is 172 € cheaper.

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

Mac mini M4 32GB

1.450 €

eBay, used (asking)

Add to build
AMD Radeon RX 7800 XT

1.278 €

Amazon

Add to build

Specifications

SpecMac mini M4 32GBAMD Radeon RX 7800 XT
ChipApple M4 (10-core GPU)–
Memory bus128-bit256-bit
Memory bandwidth120 GB/s624 GB/s
FP16 compute3.76 TFLOPS74 TFLOPS
SoftwareMetalROCm
Unified memory32 GB–
GPU can use by default21.3 GB–
GPU can use, tuned24 GB–
Operating systemmacos–
ProcessorM4 10-core–
Storage512 GB–
GPU–Radeon RX 7800 XT
Memory–16 GB GDDR6
Board power–263 W
PCIe generation–Gen 4
PCIe lanes–x16

What each runs

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

ModelMac mini M4 32GBAMD Radeon RX 7800 XT
Qwen 3.8 27B4tok/sQ5_K_Moffload
Qwen 3.6 27B4tok/sQ5_K_Moffload
Gemma 4 31B4tok/sQ4_K_Moffload
Qwen 3.6 35B-A3B23tok/sMXFP4offload
Qwen 3.5 27B4tok/sQ5_K_Moffload
Gemma 4 26B-A4B13tok/sUD-Q5_K_Moffload
GLM 4.7 Flash12tok/sQ5_K_Moffload
Devstral Small 2 24B4tok/sQ6_Koffload
Qwen3 Coder 30B-A3B18tok/sQ4_K_Moffload
gpt-oss 20B18tok/sMXFP478tok/sMXFP4
Qwen3 32B4tok/sQ4_K_Moffload
Gemma 4 12B6tok/sQ8_026tok/sQ8_0
Qwen 3.5 9B8tok/sQ8_035tok/sQ8_0
Gemma 3 27B4tok/sQ5_K_Moffload
Mistral Small 3.2 24B4tok/sQ6_Koffload
DeepSeek R1 Distill Qwen 32B4tok/sQ4_K_Moffload
Ministral 3 14B5tok/sQ8_028tok/sQ6_K
Qwen3 14B5tok/sQ8_026tok/sQ6_K
DeepSeek R1 0528 Qwen3 8B8tok/sQ8_035tok/sQ8_0
Qwen3 8B8tok/sQ8_035tok/sQ8_0
Phi-4 14B5tok/sQ8_025tok/sQ6_K
Qwen 3.5 4B16tok/sQ8_072tok/sQ8_0
Ministral 3 8B8tok/sQ8_034tok/sQ8_0
Granite 4.2 8B7tok/sQ8_032tok/sQ8_0
Gemma 4 E4B9tok/sQ8_041tok/sQ8_0
LFM2.5 8B-A1B32tok/sQ8_0140tok/sQ8_0
Llama 3.1 8B10tok/sQ6_K45tok/sQ6_K
Qwen2.5 0.5B124tok/sQ8_0543tok/sQ8_0
Qwen3.5 0.8B84tok/sQ8_0369tok/sQ8_0
Qwen3.5 2B50tok/sQ5_K_M221tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B37tok/sQ8_0161tok/sQ8_0
MiniCPM5 2B26tok/sQ8_0113tok/sQ8_0
LFM2.5 2.6B23tok/sQ8_0102tok/sQ8_0
LFM2.5 VL 3B23tok/sQ8_0102tok/sQ8_0
Spark X2.5 4B23tok/smlx-4bit101tok/smlx-4bit
LFM2.5 24B A2B19tok/sQ6_Koffload
granite vision 4.1 4b18tok/sQ8_080tok/sQ8_0
granite 4.2 3b17tok/sQ8_075tok/sQ8_0
Mellum2.1 12B A2.5B Thinking17tok/sQ8_073tok/sQ8_0
Kimi VL A3B Thinking 250614tok/sQ8_094tok/sQ4_K_M
Kimi VL A3B13tok/smlx-8bit74tok/smlx-6bit
DeepSeek R1 Distill Qwen 7B9tok/sQ8_040tok/sQ8_0
GLM 4 9B 04149tok/smlx-5bit40tok/smlx-5bit
DeepSeek R1 Distill Llama 8B8tok/sQ8_036tok/sQ8_0
Ministral 3 8B Reasoning 25128tok/sQ8_034tok/sQ8_0
GLM 4.6V Flash8tok/sQ8_033tok/sQ8_0
GLM 4.1V 9B Thinking6tok/smlx-8bit28tok/smlx-8bit
DeepSeek R1 Distill Qwen 14B5tok/sQ8_025tok/sQ6_K
Devstral Small 25074tok/sQ5_K_Moffload
Magistral Small 25074tok/sQ5_K_Moffload
Magistral Small 25094tok/sQ5_K_Moffload
granite 4.2 30b4tok/sQ4_K_Moffload
Magistral Small 25064tok/sQ6_Koffload
Qwen3.8 27B OBLITERATED4tok/smlx-4bitoffload
Qwen 3.5 122B-A10Bwon't runoffload
Mistral Small 4 119Bwon't runoffload
Qwen 3.5 35B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Bwon't runoffload
Kimi Linear 48B-A3Bwon't runoffload
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
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 4.5Vwon'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 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 Mac mini M4 32GB or the AMD Radeon RX 7800 XT?
Choose the Mac mini M4 32GB to run bigger models. Choose the AMD Radeon RX 7800 XT for speed. Choose the AMD Radeon RX 7800 XT to spend less.
Which can run bigger models, the Mac mini M4 32GB or the AMD Radeon RX 7800 XT?
At 8k context the Mac mini M4 32GB runs 54 of the models we track fully in memory and the AMD Radeon RX 7800 XT 34; only the Mac mini M4 32GB holds Qwen 3.8 27B.
Which is faster for local AI, the Mac mini M4 32GB or the AMD Radeon RX 7800 XT?
On the models both run fully in memory, the AMD Radeon RX 7800 XT is about 4.4× as fast as the Mac mini M4 32GB (estimated, median across models).
What is the price difference between the Mac mini M4 32GB and the AMD Radeon RX 7800 XT?
In Germany the Mac mini M4 32GB costs 1.450 € at eBay (used) and the AMD Radeon RX 7800 XT 1.278 € at Amazon: the AMD Radeon RX 7800 XT is 172 € cheaper.

More comparisons