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Pick the right model for your GPU — in seconds.

What GPU do you need to run Qwen3.8 27B?

27.78B params 256K max context VisionTool useReasoning

The smallest GPU memory that runs Qwen3.8 27B well is 18 GB (Q4_K_M, e.g. M3 Pro). 47 of 132 GPUs run it well and 25 more are a tight fit.

MMLU 84.3 SWE-bench Verified 86

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 256K
Q4_K_M15.3 GB16.3 GB17.3 GB30.9 GB
Q8_027.1 GB28.0 GB29.0 GB42.7 GB

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

Cheapest GPUs that can run Qwen3.8 27B

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 Qwen3.8 27B

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 16 GB Q4_K_M 10K context · ~4 tok/s tight fit
  • M3 Pro 18 GB Q4_K_M 43K context · ~9 tok/s
  • M2 24 GB Q4_K_M 142K context · ~6 tok/s
  • M3 24 GB Q4_K_M 142K context · ~6 tok/s
  • M4 24 GB Q4_K_M 142K context · ~7 tok/s
  • M4 Pro 24 GB Q4_K_M 142K context · ~17 tok/s
  • M5 24 GB Q4_K_M 142K context · ~9 tok/s
  • M5 Pro 24 GB Q4_K_M 142K context · ~19 tok/s
  • M6 24 GB Q4_K_M 142K context · ~10 tok/s
  • M1 Max 32 GB Q8_0 81K context · ~14 tok/s
  • M1 Pro 32 GB Q8_0 81K context · ~7 tok/s
  • M2 Max 32 GB Q8_0 81K context · ~14 tok/s
  • M2 Pro 32 GB Q8_0 81K context · ~7 tok/s
  • M3 Max 36 GB Q8_0 146K context · ~11 tok/s
  • M4 Max 36 GB Q8_0 146K context · ~15 tok/s
  • M5 Max 36 GB Q8_0 146K context · ~16 tok/s
  • M1 Ultra 64 GB Q8_0 256K context · ~29 tok/s
  • M2 Ultra 64 GB Q8_0 256K context · ~29 tok/s
  • M3 Ultra 96 GB Q8_0 256K context · ~29 tok/s
  • M5 Ultra 96 GB Q8_0 256K context · ~43 tok/s
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