AMD Instinct MI350X 288GBBudget pick
C90.9 tok/s decode
~$8,000 MSRP
Can it run?
Runs with offload
Using Q3_K_M in Ollama
Fit status
Runs with offload
Decode
4.0 tok/s
TTFT
48126 ms
Safe context
16K
Memory
93.9 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 3.7 tok/s | 75421 ms | 26K |
| Chat | C | Tight fit | 3.7 tok/s | 28283 ms | 9K |
| Coding | C | Runs with offload | 4.0 tok/s | 48126 ms | 16K |
| RAG | F | Too heavy | 3.7 tok/s | 94277 ms | 26K |
| Reasoning | C | Runs with offload (needs ~1.1 GB host RAM) | 3.7 tok/s | 61616 ms | 16K |
How Qwen3.5 122B A10B (122B params) fits at each quantization level on MacBook Pro M3 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 47.6 GB | Low | C41 |
Q3_K_S | 3 | 59.8 GB | Low | C43 |
NVFP4Best for your GPU |
huggingface-cli download hf-unsloth--qwen3-5-122b-a10b-ggufUpgrade options
~$8,000 MSRP
~$15,000 MSRP
| 4 |
68.3 GB |
| Medium |
| C45 |
Q4_K_M | 4 | 74.4 GB | Medium | C45 |
Q5_K_M | 5 | 87.8 GB | High | C45 |
Q6_K | 6 | 100.0 GB | High | F0 |
Q8_0 | 8 | 130.5 GB | Very High | F0 |
F16 | 16 | 250.1 GB | Maximum | F0 |