Mistralai Mistral Large Instruct 2411 speed on Apple M4 Pro and quantization-level VRAM fit.
Apple M4 Pro meets the minimum VRAM requirement for Q4 inference of Mistralai Mistral Large Instruct 2411. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M4 Pro can run Mistralai Mistral Large Instruct 2411 with Q4 quantization. At approximately 7 tokens/second, you can expect Low speed - consider quantization or stronger GPU.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 62GB | 64GB | 7.32 tok/s | ✅ Fits comfortably |
| Q8 | 123GB | 64GB | 5.13 tok/s | ❌ Not recommended |
| FP16 | 246GB | 64GB | 2.78 tok/s | ❌ Not recommended |
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Apple M4 Pro can run Mistralai Mistral Large Instruct 2411 at Q4 with an estimated 7 tok/s.
Q4 inference is estimated to need about 62GB VRAM on this page, while Apple M4 Pro has 64GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.