What GPU do you need to run Qwen3.5 122B A10B?
122B params 256K max context VisionTool useReasoning
The smallest GPU memory that runs Qwen3.5 122B A10B well is 72 GB (Q4_K_M, e.g. RTX PRO 5000 Blackwell 72GB). 15 of 132 GPUs run it well. It's a mixture-of-experts model, so all weights must fit in memory but speed depends only on the active experts.
MMLU 85 SWE-bench Verified 72
VRAM needed per quantization
| Quantization | Weights | 16K context | 32K context | Full 256K |
|---|---|---|---|---|
| Q4_K_M | 71.3 GB | 71.6 GB | 72.0 GB | 77.2 GB |
| Q8_0 | 121.0 GB | 121.3 GB | 121.7 GB | 126.8 GB |
Weights plus fp16 KV cache. Leave ~1 GB headroom for the inference engine.
Cheapest GPUs that can run Qwen3.5 122B A10B
Lowest launch MSRP among GPUs that run its smallest quantization (Q4_K_M) well, with at least 16K context.
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GPUs that can run Qwen3.5 122B A10B
Best quantization that fits on each GPU, with the context and speed it gets. For chips with several memory sizes, the smallest that works is shown.
NVIDIA
- RTX PRO 5000 Blackwell 72GB 72 GB Q4_K_M 31K context · ~196 tok/s
- RTX PRO 5500 Blackwell 84 GB Q4_K_M 256K context · ~204 tok/s
- RTX PRO 6000 Blackwell 96 GB Q4_K_M 256K context · ~262 tok/s
- DGX Spark (GB 10) 128 GB Q8_0 256K context · ~25 tok/s
- RTX Spark 128 GB Q8_0 256K context · ~27 tok/s
AMD
- Ryzen AI Max (Strix Halo) 96 GB Q4_K_M 256K context · ~37 tok/s
- Ryzen AI Max 400 (Gorgon Halo) 128 GB Q8_0 256K context · ~25 tok/s
Apple
- M2 Max 96 GB Q4_K_M 256K context · ~58 tok/s
- M3 Max 96 GB Q4_K_M 256K context · ~44 tok/s
- M3 Ultra 96 GB Q4_K_M 256K context · ~120 tok/s
- M5 Ultra 96 GB Q4_K_M 256K context · ~175 tok/s
- M1 Ultra 128 GB Q8_0 256K context · ~73 tok/s
- M2 Ultra 128 GB Q8_0 256K context · ~73 tok/s
- M4 Max 128 GB Q8_0 256K context · ~50 tok/s
- M5 Max 128 GB Q8_0 256K context · ~56 tok/s