What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run DeepSeek R1 Distill Llama 70B?

70.6B params 128K max context Reasoning

The smallest GPU memory that runs DeepSeek R1 Distill Llama 70B well is 48 GB (Q4_K_M, e.g. RTX Spark). 22 of 132 GPUs run it well.

MMLU 84 SWE-bench Verified 27.2

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 128K
Q4_K_M42.5 GB47.4 GB52.3 GB81.6 GB
Q8_075.0 GB79.9 GB84.7 GB114.0 GB

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

Cheapest GPUs that can run DeepSeek R1 Distill Llama 70B

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 DeepSeek R1 Distill Llama 70B

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

Apple

  • M3 Max 48 GB Q4_K_M 17K context · ~9 tok/s
  • M4 Max 48 GB Q4_K_M 17K context · ~13 tok/s
  • M4 Pro 48 GB Q4_K_M 17K context · ~6 tok/s
  • M5 Max 48 GB Q4_K_M 17K context · ~14 tok/s
  • M5 Pro 48 GB Q4_K_M 17K context · ~7 tok/s
  • M1 Max 64 GB Q4_K_M 70K context · ~9 tok/s
  • M1 Ultra 64 GB Q4_K_M 70K context · ~18 tok/s
  • M2 Max 64 GB Q4_K_M 70K context · ~9 tok/s
  • M2 Ultra 64 GB Q4_K_M 70K context · ~18 tok/s
  • M3 Ultra 96 GB Q8_0 68K context · ~11 tok/s
  • M5 Ultra 96 GB Q8_0 68K context · ~16 tok/s
Check your exact setup in the full tool →