readygpu

Mac mini M4 32GB vs NVIDIA GeForce RTX 4070 Ti Super

For running models locally, priced in the UK. At 64k context the first runs 36 models fully in memory, the second 28.

In short

The Mac mini M4 32GB has more memory for models: 32 GB against 16 GB. At 64k context the Mac mini M4 32GB runs 36 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Ti Super 28; only the Mac mini M4 32GB holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Ti Super is about 5.3× as fast as the Mac mini M4 32GB (estimated, median across models). In the UK the Mac mini M4 32GB costs £1,200 at eBay (used) and the NVIDIA GeForce RTX 4070 Ti Super £1,329 at Amazon: the Mac mini M4 32GB is £129 cheaper.

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

Mac mini M4 32GB

£1,200

eBay, used (asking)

Add to build
NVIDIA GeForce RTX 4070 Ti Super

£1,329

Amazon

Add to build

Specifications

SpecMac mini M4 32GBNVIDIA GeForce RTX 4070 Ti Super
ChipApple M4 (10-core GPU)–
Memory bus128-bit256-bit
Memory bandwidth120 GB/s672 GB/s
FP16 compute3.76 TFLOPS88 TFLOPS
SoftwareMetalCUDA
Unified memory32 GB–
GPU can use by default21.3 GB–
GPU can use, tuned24 GB–
Operating systemmacos–
ProcessorM4 10-core–
Storage512 GB–
GPU–GeForce RTX 4070 Ti Super
Memory–16 GB GDDR6X
Board power–285 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 32GBNVIDIA GeForce RTX 4070 Ti Super
Qwen 3.8 27B4tok/sUD-Q4_K_Moffload
Qwen 3.6 27B4tok/sQ4_K_Moffload
Qwen 3.5 27B4tok/sQ4_K_Moffload
Gemma 4 26B-A4B10tok/sQ5_K_Moffload
gpt-oss 20B12tok/sMXFP462tok/sMXFP4
Gemma 4 12B6tok/sQ8_030tok/sQ8_0
Qwen 3.5 9B7tok/sQ8_036tok/sQ8_0
Ministral 3 14B4tok/sQ5_K_Moffload
Qwen3 14B4tok/sQ5_K_Moffload
DeepSeek R1 0528 Qwen3 8B4tok/sQ8_028tok/sQ4_K_M
Qwen3 8B4tok/sQ8_028tok/sQ4_K_M
Qwen 3.5 4B12tok/sQ8_062tok/sQ8_0
Ministral 3 8B4tok/sQ8_027tok/sQ5_K_M
Granite 4.2 8B4tok/sQ8_0offload
Gemma 4 E4B8tok/sQ8_041tok/sQ8_0
LFM2.5 8B-A1B11tok/sQ8_058tok/sQ8_0
Llama 3.1 8B5tok/sQ6_K27tok/sQ6_K
Qwen2.5 0.5B58tok/sQ8_0312tok/sQ8_0
Qwen3.5 0.8B48tok/sQ8_0255tok/sQ8_0
Qwen3.5 2B35tok/sQ5_K_M184tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B21tok/sQ8_0110tok/sQ8_0
MiniCPM5 2B14tok/sQ8_076tok/sQ8_0
Mellum2.1 12B A2.5B Thinking13tok/sQ8_069tok/sQ8_0
LFM2.5 2.6B11tok/sQ8_060tok/sQ8_0
LFM2.5 VL 3B11tok/sQ8_060tok/sQ8_0
Kimi VL A3B Thinking 25069tok/sQ8_063tok/sQ4_K_M
Kimi VL A3B9tok/smlx-8bit60tok/smlx-5bit
granite vision 4.1 4b9tok/sQ8_046tok/sQ8_0
granite 4.2 3b8tok/sQ8_045tok/sQ8_0
GLM 4 9B 04147tok/smlx-5bit38tok/smlx-5bit
LFM2.5 24B A2B7tok/sQ4_K_Moffload
DeepSeek R1 Distill Qwen 7B7tok/sQ8_035tok/sQ8_0
GLM 4.6V Flash6tok/sQ8_033tok/sQ8_0
GLM 4.1V 9B Thinking5tok/smlx-8bit29tok/smlx-8bit
DeepSeek R1 Distill Llama 8B5tok/sQ8_027tok/sQ6_K
Ministral 3 8B Reasoning 25124tok/sQ8_027tok/sQ5_K_M
Gemma 4 31Bwon't runoffload
Mistral Small 4 119Bwon't runoffload
Qwen 3.6 35B-A3Bwon't runoffload
Devstral Small 2 24Bwon't runoffload
GLM 4.7 Flashwon't runoffload
Qwen 3.5 35B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Bwon't runoffload
Kimi Linear 48B-A3Bwon't runoffload
Qwen3 Coder 30B-A3Bwon't runoffload
Qwen3 32Bwon't runoffload
DeepSeek R1 Distill Qwen 32Bwon't runoffload
Gemma 3 27Bwon't runoffload
Mistral Small 3.2 24Bwon't runoffload
Phi-4 14Bwon't runoffload
DeepSeek R1 Distill Qwen 14Bwon't runoffload
Devstral Small 2507won't runoffload
Magistral Small 2506won't runoffload
Magistral Small 2507won't runoffload
Magistral Small 2509won't runoffload
granite 4.2 30bwon'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
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
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 NVIDIA GeForce RTX 4070 Ti Super?
Choose the Mac mini M4 32GB to run bigger models. Choose the NVIDIA GeForce RTX 4070 Ti Super for speed. Choose the Mac mini M4 32GB to spend less.
Which can run bigger models, the Mac mini M4 32GB or the NVIDIA GeForce RTX 4070 Ti Super?
At 64k context the Mac mini M4 32GB runs 36 of the models we track fully in memory and the NVIDIA GeForce RTX 4070 Ti Super 28; only the Mac mini M4 32GB holds Qwen 3.8 27B.
Which is faster for local AI, the Mac mini M4 32GB or the NVIDIA GeForce RTX 4070 Ti Super?
On the models both run fully in memory, the NVIDIA GeForce RTX 4070 Ti Super is about 5.3× 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 NVIDIA GeForce RTX 4070 Ti Super?
In the UK the Mac mini M4 32GB costs £1,200 at eBay (used) and the NVIDIA GeForce RTX 4070 Ti Super £1,329 at Amazon: the Mac mini M4 32GB is £129 cheaper.

More comparisons