This page answers Moonshotai Kimi K3 q6_k quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Moonshotai Kimi K3 typically needs around 2433GB VRAM at Q6_K, and 2920GB is safer for smoother usage.
Estimated between Q4 and Q8 using a weighted interpolation toward Q8 memory footprint.
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 | Q8 | 187 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | Q8 | 169 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | Q8 | 121 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | Q8 | 117 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | Q8 | 77 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | Q8 | 73 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | Q8 | 72 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | Q8 | 58 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | Q8 | 56 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | Q8 | 44 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | Q8 | 44 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | Q8 | 41 tok/s | View full compatibility | Buy options |
Need a GPU with 2433GB+ VRAM? These guides match your requirements.
Moonshotai Kimi K3 at Q6_K is estimated to require about 2433GB VRAM minimum, with 2920GB 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.
Q6_K is a balance point between memory usage and quality. If your GPU is below 2433GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.