What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run SmallThinker 3B?

3.09B params 32K max context Reasoning

The smallest GPU memory that runs SmallThinker 3B well is 4 GB (Q8_0, e.g. T1000). 131 of 132 GPUs run it well and 1 more are a tight fit.

MMLU 65

VRAM needed per quantization

QuantizationWeights16K contextFull 32K
Q4_K_M1.9 GB2.5 GB3.0 GB
Q8_03.3 GB3.8 GB4.4 GB

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

Cheapest GPUs that can run SmallThinker 3B

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 SmallThinker 3B

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 32K context · ~16 tok/s
  • M2 8 GB Q8_0 32K context · ~23 tok/s
  • M3 8 GB Q8_0 32K context · ~23 tok/s
  • M1 Pro 16 GB Q8_0 32K context · ~47 tok/s
  • M2 Pro 16 GB Q8_0 32K context · ~47 tok/s
  • M4 16 GB Q8_0 32K context · ~28 tok/s
  • M5 16 GB Q8_0 32K context · ~36 tok/s
  • M6 16 GB Q8_0 32K context · ~36 tok/s
  • M3 Pro 18 GB Q8_0 32K context · ~35 tok/s
  • M4 Pro 24 GB Q8_0 32K context · ~64 tok/s
  • M5 Pro 24 GB Q8_0 32K context · ~72 tok/s
  • M1 Max 32 GB Q8_0 32K context · ~93 tok/s
  • M2 Max 32 GB Q8_0 32K context · ~93 tok/s
  • M3 Max 36 GB Q8_0 32K context · ~70 tok/s
  • M4 Max 36 GB Q8_0 32K context · ~96 tok/s
  • M5 Max 36 GB Q8_0 32K context · ~107 tok/s
  • M1 Ultra 64 GB Q8_0 32K context · ~186 tok/s
  • M2 Ultra 64 GB Q8_0 32K context · ~186 tok/s
  • M3 Ultra 96 GB Q8_0 32K context · ~191 tok/s
  • M5 Ultra 96 GB Q8_0 32K context · ~280 tok/s
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