Budget Pick
Apple M2 Ultra192 GB VRAM · ~5.6 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run MiniMax M2.5?
MiniMax M2.5 is a 230B parameter model from the MiniMax family. Check if your hardware can handle it.
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2% of 1,000 scanned PCs run MiniMax M2.5 fully on GPU.
221 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
21Hybrid CPU+GPU
200CPU Only
88Can't Run
691Test 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 |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 115 GB | 132.3 GB | 149.5 GB | 173 GB | 8K / 8K |
| Q5_K_M | 143.8 GB | 165.4 GB | 186.9 GB | 216 GB | 8K / 8K |
| Q8_0 | 230 GB | 264.5 GB | 299 GB | 345 GB | 8K / 8K |
| FP16 | 460 GB | 529 GB | 598 GB | 690 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run MiniMax M2.5.
Recommended GPUs for MiniMax M2.5
These GPUs meet the recommended 149.5 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
Apple M4 Ultra256 GB VRAM · ~7.6 tok/s
Highest estimated throughput
Check price on AmazonBest Value
Apple M3 Ultra192 GB VRAM · ~5.6 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for MiniMax M2.5.
Strong OpenClaw Model Candidate
MiniMax M2.5 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 MiniMax M2.5?
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.