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Social proof

56% of 999 scanned PCs run Mistral Small 3.1 24B fully on GPU.

693 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
561
Hybrid CPU+GPU
132
CPU Only
143
Can't Run
163

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Hardware Requirements

Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.

QuantizationFile SizeMin VRAMRecommended VRAMMin RAMContext
Q4_K_MEasiest12.6 GB14 GB16 GB20 GB8K / 128K
FP1645.6 GB48 GB54 GB60 GB8K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run Mistral Small 3.1 24B.

Recommended GPUs for Mistral Small 3.1 24B

These GPUs meet the recommended 16 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Mistral Small 3.1 24B.

Strong OpenClaw Model Candidate

Mistral Small 3.1 24B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.

Why choose Mistral Small 3.1 24B?

General-purpose local model brief

  • Pilot testing with your own tasks
  • Controlled local experiments

Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.

Full Model DetailsBest GPU for Mistral Small 3.1 24BCheck on RTX 4090Mistral Small 3.1 24B pros & consSetup GuidesDecision WizardBrowse All Models