L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can Apple M2 Max run mistralai/Ministral-3-14B-Instruct-2512?

Runs Q496GB VRAM availableRequires 8GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of mistralai/Ministral-3-14B-Instruct-2512. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Max can run mistralai/Ministral-3-14B-Instruct-2512 with Q4 quantization. At approximately 37 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 88GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q48GB96GB37.04 tok/s✅ Fits comfortably
Q816GB96GB30.30 tok/s✅ Fits comfortably
FP1632GB96GB14.33 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
542.83 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
499.74 tok/s
Price: —
AMD Instinct MI300X
192GB
381.02 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
365.75 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
359.56 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for mistralai/Ministral-3-14B-Instruct-2512mistralai/Ministral-3-14B-Instruct-2512 speed on Apple M2 Maxmistralai/Ministral-3-14B-Instruct-2512 Q4 requirements