Mac Studio M4 Max 128GB vs NVIDIA GeForce RTX 4090
For running models locally, priced in the US. At 128k context the first runs 70 models fully in memory, the second 29.
In short
The Mac Studio M4 Max 128GB has more memory for models: 128 GB against 24 GB. At 128k context the Mac Studio M4 Max 128GB runs 70 of the models we track fully in memory and the NVIDIA GeForce RTX 4090 29; only the Mac Studio M4 Max 128GB holds Qwen 3.8 Flash Next. On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 1.8× as fast as the Mac Studio M4 Max 128GB (estimated, median across models). In the US the Mac Studio M4 Max 128GB costs $5,400 at eBay and the NVIDIA GeForce RTX 4090 $2,073 at eBay: the NVIDIA GeForce RTX 4090 is $3,327 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Mac Studio M4 Max 128GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| Chip | Apple M4 Max (40-core GPU) | – |
| Memory bus | 512-bit | 384-bit |
| Memory bandwidth | 546 GB/s | 1,008 GB/s |
| FP16 compute | 16.16 TFLOPS | 165 TFLOPS |
| Software | Metal | CUDA |
| Unified memory | 128 GB | – |
| GPU can use by default | 96 GB | – |
| GPU can use, tuned | 120 GB | – |
| Operating system | macos | – |
| Processor | M4 Max 16-core | – |
| Storage | 1000 GB | – |
| GPU | – | GeForce RTX 4090 |
| Memory | – | 24 GB GDDR6X |
| Board power | – | 450 W |
| PCIe generation | – | Gen 4 |
| PCIe lanes | – | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Mac Studio M4 Max 128GB | NVIDIA GeForce RTX 4090 |
|---|---|---|
| Qwen 3.8 Flash Next | 6tok/sUD-Q3_K_XL | won't run |
| Qwen 3.8 27B | 9tok/sQ8_0 | offload |
| Qwen 3.5 122B-A10B | 20tok/sQ5_K_M | offload |
| Qwen 3.6 27B | 10tok/sQ8_0 | offload |
| Qwen3 Coder Next | 29tok/sQ8_0 | won't run |
| gpt-oss 120B | 27tok/sMXFP4 | won't run |
| Nemotron 3 Super 120B-A12B | 20tok/sQ5_K_M | won't run |
| Gemma 4 31B | 8tok/sQ8_0 | offload |
| Mistral Small 4 119B | 24tok/sQ6_K | offload |
| Qwen 3.6 35B-A3B | 37tok/sQ8_0 | offload |
| Qwen 3.5 27B | 10tok/sQ8_0 | offload |
| Gemma 4 26B-A4B | 30tok/sQ8_0 | 64tok/sQ5_K_M |
| GLM 4.5 Air | 6tok/sQ4_K_M | won't run |
| Qwen 3.5 35B-A3B | 37tok/sQ8_0 | offload |
| Qwen3 Next 80B-A3B | 33tok/sQ8_0 | won't run |
| GLM 4.7 Flash | 17tok/sQ8_0 | offload |
| Devstral Small 2 24B | 8tok/sQ8_0 | offload |
| Nemotron 3.5 Lightning 30B-A3B | 51tok/sUD-Q6_K_XL | offload |
| Kimi Linear 48B-A3B | 50tok/sQ8_0 | offload |
| gpt-oss 20B | 38tok/sMXFP4 | 66tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 13tok/sQ8_0 | offload |
| Qwen3 32B | 5tok/sQ8_0 | won't run |
| Gemma 4 12B | 23tok/sQ8_0 | 41tok/sQ8_0 |
| Qwen 3.5 9B | 26tok/sQ8_0 | 45tok/sQ8_0 |
| Gemma 3 27B | 9tok/sQ8_0 | offload |
| Mistral Small 3.2 24B | 8tok/sQ8_0 | offload |
| DeepSeek R1 Distill Qwen 32B | 5tok/sQ8_0 | won't run |
| Llama 3.3 70B | 4tok/sQ5_K_M | won't run |
| Ministral 3 14B | 10tok/sQ8_0 | offload |
| Qwen3 14B | 10tok/sQ8_0 | offload |
| DeepSeek R1 0528 Qwen3 8B | 13tok/sQ8_0 | offload |
| Qwen3 8B | 13tok/sQ8_0 | offload |
| Phi-4 14B | 8tok/sQ8_0 | offload |
| Qwen 3.5 4B | 40tok/sQ8_0 | 71tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 27tok/sQ4_K_M |
| Granite 4.2 8B | 12tok/sQ8_0 | offload |
| Gemma 4 E4B | 30tok/sQ8_0 | 52tok/sQ8_0 |
| LFM2.5 8B-A1B | 28tok/sQ8_0 | 50tok/sQ8_0 |
| Llama 3.1 8B | 15tok/sQ6_K | 27tok/sQ5_K_M |
| Qwen2.5 0.5B | 166tok/sQ8_0 | 292tok/sQ8_0 |
| Qwen3.5 0.8B | 145tok/sQ8_0 | 256tok/sQ8_0 |
| Qwen3.5 2B | 116tok/sQ5_K_M | 204tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 63tok/sQ8_0 | 111tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 47tok/sQ8_0 | 82tok/sQ8_0 |
| Spark X2.5 4B | 45tok/smlx-4bit | 79tok/smlx-4bit |
| MiniCPM5 2B | 43tok/sQ8_0 | 75tok/sQ8_0 |
| FrogNano 4B 2609 | 40tok/sQ8_0 | 70tok/sQ8_0 |
| LFM2.5 2.6B | 33tok/sQ8_0 | 57tok/sQ8_0 |
| LFM2.5 VL 3B | 33tok/sQ8_0 | 57tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 30tok/sQ8_0 | 52tok/sQ8_0 |
| Kimi VL A3B | 29tok/smlx-8bit | 51tok/smlx-8bit |
| GLM 4 9B 0414 | 26tok/smlx-5bit | 46tok/smlx-5bit |
| granite vision 4.1 4b | 25tok/sQ8_0 | 44tok/sQ8_0 |
| granite 4.2 3b | 24tok/sQ8_0 | 43tok/sQ8_0 |
| GLM 4.6V Flash | 23tok/sQ8_0 | 41tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 7B | 23tok/sQ8_0 | 40tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 21tok/smlx-8bit | 37tok/smlx-8bit |
| LFM2.5 24B A2B | 17tok/sQ8_0 | offload |
| DeepSeek R1 Distill Llama 8B | 14tok/sQ8_0 | 27tok/sQ5_K_M |
| Ministral 3 8B Reasoning 2512 | 13tok/sQ8_0 | 27tok/sQ4_K_M |
| Qwen3.8 27B OBLITERATED | 12tok/smlx-4bit | offload |
| DeepSeek R1 Distill Qwen 14B | 9tok/sQ8_0 | offload |
| Devstral Small 2507 | 8tok/sQ8_0 | offload |
| Magistral Small 2506 | 8tok/sQ8_0 | offload |
| Magistral Small 2507 | 8tok/sQ8_0 | offload |
| Magistral Small 2509 | 8tok/sQ8_0 | offload |
| GLM 4.5V | 6tok/sQ4_K_M | won't run |
| GLM 4.6V | 6tok/sQ4_K_M | won't run |
| granite 4.2 30b | 5tok/sQ8_0 | won't run |
| DeepSeek R1 Distill Llama 70B | 4tok/sQ5_K_M | won't run |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| MiniMax M2.7 | 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 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 4.6 | 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 |
| 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 Mac Studio M4 Max 128GB or the NVIDIA GeForce RTX 4090?
- Choose the Mac Studio M4 Max 128GB to run bigger models. Choose the NVIDIA GeForce RTX 4090 for speed. Choose the NVIDIA GeForce RTX 4090 to spend less.
- Which can run bigger models, the Mac Studio M4 Max 128GB or the NVIDIA GeForce RTX 4090?
- At 128k context the Mac Studio M4 Max 128GB runs 70 of the models we track fully in memory and the NVIDIA GeForce RTX 4090 29; only the Mac Studio M4 Max 128GB holds Qwen 3.8 Flash Next.
- Which is faster for local AI, the Mac Studio M4 Max 128GB or the NVIDIA GeForce RTX 4090?
- On the models both run fully in memory, the NVIDIA GeForce RTX 4090 is about 1.8× as fast as the Mac Studio M4 Max 128GB (estimated, median across models).
- What is the price difference between the Mac Studio M4 Max 128GB and the NVIDIA GeForce RTX 4090?
- In the US the Mac Studio M4 Max 128GB costs $5,400 at eBay and the NVIDIA GeForce RTX 4090 $2,073 at eBay: the NVIDIA GeForce RTX 4090 is $3,327 cheaper.
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