readygpu

Mac Studio M4 Max 64GB vs AMD Radeon PRO W7900

For running models locally, priced in the US. At 32k context the first runs 65 models fully in memory, the second 65.

In short

The Mac Studio M4 Max 64GB has more memory for models: 64 GB against 48 GB. At 32k context both run the same 65 models we track fully in memory. On the models both run fully in memory, the AMD Radeon PRO W7900 is about 1.3× as fast as the Mac Studio M4 Max 64GB (estimated, median across models). In the US the Mac Studio M4 Max 64GB costs $3,600 at eBay and the AMD Radeon PRO W7900 $4,000 at eBay: the Mac Studio M4 Max 64GB is $400 cheaper.

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

Mac Studio M4 Max 64GB

$3,600

eBay

Add to build
AMD Radeon PRO W7900

$4,000

eBay

Add to build

Specifications

SpecMac Studio M4 Max 64GBAMD Radeon PRO W7900
ChipApple M4 Max (40-core GPU)–
Memory bus512-bit384-bit
Memory bandwidth546 GB/s864 GB/s
FP16 compute16.16 TFLOPS122.6 TFLOPS
SoftwareMetalROCm
Unified memory64 GB–
GPU can use by default48 GB–
GPU can use, tuned56 GB–
Operating systemmacos–
ProcessorM4 Max 16-core–
Storage1000 GB–
GPU–Radeon PRO W7900
Memory–48 GB GDDR6
Board power–295 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 Studio M4 Max 64GBAMD Radeon PRO W7900
Qwen 3.8 27B11tok/sQ8_015tok/sQ8_0
Qwen 3.5 122B-A10B50tok/sUD-Q2_K_XL66tok/sUD-Q2_K_XL
Qwen 3.6 27B12tok/sQ8_015tok/sQ8_0
Qwen3 Coder Next66tok/sQ4_K_M88tok/sQ4_K_M
Gemma 4 31B10tok/sQ8_013tok/sQ8_0
Mistral Small 4 119B68tok/sUD-Q2_K_XL91tok/sUD-Q2_K_XL
Qwen 3.6 35B-A3B56tok/sQ8_075tok/sQ8_0
Qwen 3.5 27B12tok/sQ8_015tok/sQ8_0
Gemma 4 26B-A4B42tok/sQ8_057tok/sQ8_0
Qwen3 Next 80B-A3B80tok/sQ4_K_M107tok/sQ4_K_M
Qwen 3.5 35B-A3B56tok/sQ8_075tok/sQ8_0
GLM 4.7 Flash30tok/sQ8_040tok/sQ8_0
Devstral Small 2 24B12tok/sQ8_016tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B60tok/sUD-Q6_K_XL80tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B77tok/sQ6_K103tok/sQ6_K
gpt-oss 20B66tok/sMXFP488tok/sMXFP4
Qwen3 Coder 30B-A3B33tok/sQ8_045tok/sQ8_0
Qwen3 32B8tok/sQ8_011tok/sQ8_0
Gemma 4 12B26tok/sQ8_035tok/sQ8_0
Qwen 3.5 9B33tok/sQ8_045tok/sQ8_0
Mistral Small 3.2 24B12tok/sQ8_016tok/sQ8_0
Gemma 3 27B11tok/sQ8_015tok/sQ8_0
DeepSeek R1 Distill Qwen 32B8tok/sQ8_011tok/sQ8_0
Ministral 3 14B18tok/sQ8_024tok/sQ8_0
Qwen3 14B17tok/sQ8_023tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B26tok/sQ8_035tok/sQ8_0
Qwen3 8B26tok/sQ8_035tok/sQ8_0
Phi-4 14B16tok/sQ8_021tok/sQ8_0
Qwen 3.5 4B63tok/sQ8_085tok/sQ8_0
Ministral 3 8B26tok/sQ8_035tok/sQ8_0
Granite 4.2 8B24tok/sQ8_032tok/sQ8_0
Gemma 4 E4B39tok/sQ8_052tok/sQ8_0
LFM2.5 8B-A1B80tok/sQ8_0107tok/sQ8_0
Llama 3.1 8B33tok/sQ6_K44tok/sQ6_K
Qwen2.5 0.5B380tok/sQ8_0509tok/sQ8_0
Qwen3.5 0.8B288tok/sQ8_0385tok/sQ8_0
Qwen3.5 2B191tok/sQ5_K_M256tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B125tok/sQ8_0168tok/sQ8_0
MiniCPM5 2B87tok/sQ8_0116tok/sQ8_0
Spark X2.5 4B82tok/smlx-4bit110tok/smlx-4bit
LFM2.5 2.6B73tok/sQ8_097tok/sQ8_0
LFM2.5 VL 3B73tok/sQ8_097tok/sQ8_0
Mellum2.1 12B A2.5B Thinking67tok/sQ8_090tok/sQ8_0
FrogNano 4B 260962tok/sQ8_083tok/sQ8_0
granite vision 4.1 4b56tok/sQ8_075tok/sQ8_0
granite 4.2 3b54tok/sQ8_072tok/sQ8_0
Kimi VL A3B Thinking 250652tok/sQ8_069tok/sQ8_0
Kimi VL A3B50tok/smlx-8bit67tok/smlx-8bit
Ministral 3 3B Instruct 251250tok/sQ8_067tok/sQ8_0
LFM2.5 24B A2B44tok/sQ8_059tok/sQ8_0
GLM 4 9B 041437tok/smlx-5bit50tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B36tok/sQ8_048tok/sQ8_0
GLM 4.6V Flash31tok/sQ8_042tok/sQ8_0
DeepSeek R1 Distill Llama 8B28tok/sQ8_037tok/sQ8_0
GLM 4.1V 9B Thinking27tok/smlx-8bit36tok/smlx-8bit
Ministral 3 8B Reasoning 251226tok/sQ8_035tok/sQ8_0
Ministral 3 14B Reasoning 251218tok/sQ8_024tok/sQ8_0
DeepSeek R1 Distill Qwen 14B16tok/sQ8_022tok/sQ8_0
Qwen3.8 27B OBLITERATED16tok/smlx-4bit21tok/smlx-4bit
Devstral Small 250712tok/sQ8_016tok/sQ8_0
Magistral Small 250612tok/sQ8_016tok/sQ8_0
Magistral Small 250712tok/sQ8_016tok/sQ8_0
Magistral Small 250912tok/sQ8_016tok/sQ8_0
Muse Glimmer 30B11tok/sQ8_015tok/sQ8_0
granite 4.2 30b9tok/sQ8_012tok/sQ8_0
Nemotron 3 Super 120B-A12Bwon't runoffload
gpt-oss 120Bwon't runoffload
GLM 4.5 Airwon't runoffload
Llama 3.3 70Bwon't runoffload
DeepSeek R1 Distill Llama 70Bwon't runoffload
GLM 4.5Vwon't runoffload
GLM 4.6Vwon't runoffload
Kimi Dev 72Bwon'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
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won'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 4.6won'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 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 Studio M4 Max 64GB or the AMD Radeon PRO W7900?
Choose the AMD Radeon PRO W7900 for speed. Choose the Mac Studio M4 Max 64GB to spend less.
Which can run bigger models, the Mac Studio M4 Max 64GB or the AMD Radeon PRO W7900?
At 32k context both run the same 65 models we track fully in memory.
Which is faster for local AI, the Mac Studio M4 Max 64GB or the AMD Radeon PRO W7900?
On the models both run fully in memory, the AMD Radeon PRO W7900 is about 1.3× as fast as the Mac Studio M4 Max 64GB (estimated, median across models).
What is the price difference between the Mac Studio M4 Max 64GB and the AMD Radeon PRO W7900?
In the US the Mac Studio M4 Max 64GB costs $3,600 at eBay and the AMD Radeon PRO W7900 $4,000 at eBay: the Mac Studio M4 Max 64GB is $400 cheaper.

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