What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run Qwen 2.5 Coder 14B?

14.7B params 128K max context

The smallest GPU memory that runs Qwen 2.5 Coder 14B well is 12 GB (Q4_K_M, e.g. GeForce RTX 5070). 86 of 132 GPUs run it well and 4 more are a tight fit.

MMLU 74 SWE-bench Verified 22.6

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 128K
Q4_K_M9.0 GB11.9 GB14.8 GB32.4 GB
Q8_015.7 GB18.6 GB21.6 GB39.1 GB

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

Cheapest GPUs that can run Qwen 2.5 Coder 14B

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 Qwen 2.5 Coder 14B

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 38K context · ~7 tok/s
  • M1 Pro 16 GB Q4_K_M 38K context · ~20 tok/s
  • M2 16 GB Q4_K_M 38K context · ~10 tok/s
  • M2 Pro 16 GB Q4_K_M 38K context · ~20 tok/s
  • M3 16 GB Q4_K_M 38K context · ~10 tok/s
  • M4 16 GB Q4_K_M 38K context · ~12 tok/s
  • M5 16 GB Q4_K_M 38K context · ~15 tok/s
  • M6 16 GB Q4_K_M 38K context · ~15 tok/s
  • M3 Pro 18 GB Q4_K_M 49K context · ~15 tok/s
  • M4 Pro 24 GB Q8_0 45K context · ~16 tok/s
  • M5 Pro 24 GB Q8_0 45K context · ~18 tok/s
  • M1 Max 32 GB Q8_0 89K context · ~24 tok/s
  • M2 Max 32 GB Q8_0 89K context · ~24 tok/s
  • M3 Max 36 GB Q8_0 110K context · ~18 tok/s
  • M4 Max 36 GB Q8_0 110K context · ~25 tok/s
  • M5 Max 36 GB Q8_0 110K context · ~28 tok/s
  • M1 Ultra 64 GB Q8_0 128K context · ~48 tok/s
  • M2 Ultra 64 GB Q8_0 128K context · ~48 tok/s
  • M3 Ultra 96 GB Q8_0 128K context · ~49 tok/s
  • M5 Ultra 96 GB Q8_0 128K context · ~72 tok/s
Check your exact setup in the full tool →