What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run Qwen3.5 2B?

2B params 256K max context VisionTool useReasoning

The smallest GPU memory that runs Qwen3.5 2B well is 2 GB (Q4_K_M, e.g. T400). 132 of 132 GPUs run it well.

MMLU 55.3

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 256K
Q4_K_M1.2 GB1.4 GB1.5 GB4.0 GB
Q8_01.9 GB2.0 GB2.2 GB4.7 GB

Weights plus fp16 KV cache. Leave ~1 GB headroom for the inference engine.

Cheapest GPUs that can run Qwen3.5 2B

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 2B

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

AMD

Intel

Apple

  • M1 8 GB Q8_0 256K context · ~24 tok/s
  • M2 8 GB Q8_0 256K context · ~35 tok/s
  • M3 8 GB Q8_0 256K context · ~35 tok/s
  • M1 Pro 16 GB Q8_0 256K context · ~70 tok/s
  • M2 Pro 16 GB Q8_0 256K context · ~70 tok/s
  • M4 16 GB Q8_0 256K context · ~42 tok/s
  • M5 16 GB Q8_0 256K context · ~53 tok/s
  • M6 16 GB Q8_0 256K context · ~53 tok/s
  • M3 Pro 18 GB Q8_0 256K context · ~52 tok/s
  • M4 Pro 24 GB Q8_0 256K context · ~95 tok/s
  • M5 Pro 24 GB Q8_0 256K context · ~107 tok/s
  • M1 Max 32 GB Q8_0 256K context · ~139 tok/s
  • M2 Max 32 GB Q8_0 256K context · ~139 tok/s
  • M3 Max 36 GB Q8_0 256K context · ~105 tok/s
  • M4 Max 36 GB Q8_0 256K context · ~143 tok/s
  • M5 Max 36 GB Q8_0 256K context · ~160 tok/s
  • M1 Ultra 64 GB Q8_0 256K context · ~279 tok/s
  • M2 Ultra 64 GB Q8_0 256K context · ~279 tok/s
  • M3 Ultra 96 GB Q8_0 256K context · ~285 tok/s
  • M5 Ultra 96 GB Q8_0 256K context · ~418 tok/s
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