This page answers Mistralai Mistral Large 3 675B Instruct 2512 q3_k_s quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Mistralai Mistral Large 3 675B Instruct 2512 typically needs around 244GB VRAM at Q3_K_S, and 293GB is safer for smoother usage.
Estimated from Q4 using a 28% memory reduction assumption for Q3_K_S.
Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.
Need general guidance? Review full methodology.
| GPU | VRAM | Quantization | Speed | Compatibility | Buy |
|---|---|---|---|---|---|
| AMD Instinct MI300X | 192GB | Q4 | 92 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | Q4 | 83 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | Q4 | 59 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | Q4 | 57 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | Q4 | 38 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | Q4 | 36 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | Q4 | 35 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | Q4 | 29 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | Q4 | 27 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | Q4 | 22 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | Q4 | 21 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | Q4 | 20 tok/s | View full compatibility | Buy options |
Mistralai Mistral Large 3 675B Instruct 2512 at Q3_K_S is estimated to require about 244GB VRAM minimum, with 293GB recommended for smoother operation.
Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.
Q3_K_S is a balance point between memory usage and quality. If your GPU is below 244GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.