Ryzen AI Max+ 395 vs Mac Studio M5 Max
Illustration
Highly recommended
Illustration
Highly recommended
Our verdict
Editorial opinionOur verdict
Both hold 128 GB, so both run gpt-oss-120b and 122B MoE models. The Mac Studio has 2.4× the bandwidth (614 vs 256 GB/s), so it answers much faster, and it is almost silent. Strix Halo costs less, runs Linux and fits a normal x86 homelab. Pick the Mac for speed and simplicity, Strix Halo for price and openness.
| Factual data | Ryzen AI Max+ 395 | Mac Studio M5 Max |
|---|---|---|
| Memory (largest) | 128 GB | 128 GB |
| Usable for models | 115 GBMore | 96 GB |
| Bandwidth | 256 GB/s | 614 GB/sMore |
| Largest popular model at 4-bit | Qwen3.5 122B A10B | Qwen3.5 122B A10B |
| Price from | $2,200Advantage | $2,499 |
| Price per GB | $19 | — |
| Power | 120 W | 480 W |
| Compute stack | ROCm / Vulkan | Metal / MLX |
Which models each one runs
Popular models at Q4_K_M with a 32K-token context. Memory needed from real model files; speed is the theoretical ceiling.
| Model | Ryzen AI Max+ 395 | Mac Studio M5 Max |
|---|---|---|
| Qwen3 1.7B | Runs≤ 231 tok/s | Runs≤ 414 tok/s |
| Qwen3.5 9B | Runs≤ 45 tok/s | Runs≤ 81 tok/s |
| Gemma 4 12B | Runs≤ 36 tok/s | Runs≤ 65 tok/s |
| gpt-oss-20b | Runs≤ 128 tok/s | Runs≤ 230 tok/s |
| Qwen3.6 27B | Runs≤ 15 tok/s | Runs≤ 27 tok/s |
| Qwen3.6 35B A3B | Runs≤ 139 tok/s | Runs≤ 333 tok/s |
| Llama 3.3 70B | Runs, tight≤ 6 tok/s | Runs≤ 14 tok/s |
| gpt-oss-120b | Runs≤ 93 tok/s | Runs≤ 224 tok/s |
| Qwen3.5 122B A10B | Runs≤ 42 tok/s | Runs≤ 100 tok/s |
| Qwen3.5 397B A17B | Not enough memory | Not enough memory |
Speed ceilings are theoretical; see each page for measured results.