Budget Pick
Apple M2 Max96 GB VRAM · ~4.4 tok/s
Lowest cost that meets recommended VRAM
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Can I Run Mixtral 8x22B?
Mixtral 8x22B is a 141B parameter model from the Mistral family. Check if your hardware can handle it.
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6% of 1,598 scanned PCs run Mixtral 8x22B fully on GPU.
461 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
98Hybrid CPU+GPU
363CPU Only
152Can't Run
985Test Your Hardware
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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.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q3_K_MEasiest | 62 GB | 65 GB | 72 GB | 72 GB | 4K / 64K |
| Q4_K_M | 80 GB | 83 GB | 96 GB | 96 GB | 4K / 64K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Mixtral 8x22B.
Recommended GPUs for Mixtral 8x22B
These GPUs meet the recommended 72 GB VRAM for the Q3_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
Apple M4 Ultra256 GB VRAM · ~12.1 tok/s
Highest estimated throughput
Check price on AmazonBest Value
Apple M1 Ultra128 GB VRAM · ~8.9 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Mixtral 8x22B.
Strong OpenClaw Model Candidate
Mixtral 8x22B 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 Mixtral 8x22B?
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.