What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run Qwen3.5 0.8B?

0.8B params 256K max context VisionTool useReasoning

The smallest GPU memory that runs Qwen3.5 0.8B well is 2 GB (Q8_0, e.g. T400). 132 of 132 GPUs run it well.

MMLU 29.7

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 256K
Q4_K_M0.5 GB0.7 GB0.9 GB3.3 GB
Q8_00.8 GB0.9 GB1.1 GB3.6 GB

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

Cheapest GPUs that can run Qwen3.5 0.8B

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 0.8B

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 · ~39 tok/s
  • M2 8 GB Q8_0 256K context · ~57 tok/s
  • M3 8 GB Q8_0 256K context · ~57 tok/s
  • M1 Pro 16 GB Q8_0 256K context · ~114 tok/s
  • M2 Pro 16 GB Q8_0 256K context · ~114 tok/s
  • M4 16 GB Q8_0 256K context · ~68 tok/s
  • M5 16 GB Q8_0 256K context · ~87 tok/s
  • M6 16 GB Q8_0 256K context · ~87 tok/s
  • M3 Pro 18 GB Q8_0 256K context · ~85 tok/s
  • M4 Pro 24 GB Q8_0 256K context · ~155 tok/s
  • M5 Pro 24 GB Q8_0 256K context · ~174 tok/s
  • M1 Max 32 GB Q8_0 256K context · ~227 tok/s
  • M2 Max 32 GB Q8_0 256K context · ~227 tok/s
  • M3 Max 36 GB Q8_0 256K context · ~170 tok/s
  • M4 Max 36 GB Q8_0 256K context · ~233 tok/s
  • M5 Max 36 GB Q8_0 256K context · ~261 tok/s
  • M1 Ultra 64 GB Q8_0 256K context · ~455 tok/s
  • M2 Ultra 64 GB Q8_0 256K context · ~455 tok/s
  • M3 Ultra 96 GB Q8_0 256K context · ~465 tok/s
  • M5 Ultra 96 GB Q8_0 256K context · ~682 tok/s
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