Moonshot AI
Kimi K3.1 Pro
Moonshot AI model discovered on huggingface
Model Summary
Family
Kimi
Version
3.1
Parameters
2780.1B (est.)
Parameter counts for closed models are estimates; vendors rarely publish exact sizes.
VRAM Requirements by Quantization
Memory needed to serve Kimi K3.1 Pro for inference, including a 20% overhead for activations and KV cache.
| Precision | VRAM needed | Smallest single GPU that fits |
|---|---|---|
| INT4 (4-bit) | 1553.50 GB | Multi-GPU required |
| INT8 (8-bit) | 3107.00 GB | Multi-GPU required |
| FP16 (16-bit) | 6214.01 GB | Multi-GPU required |
| FP32 (32-bit) | 12428.02 GB | Multi-GPU required |
Recommended GPU Configurations
Cheapest on-demand configurations to serve Kimi K3.1 Pro at 8-bit (3107 GB VRAM).
25x AMD Instinct MI250X
3200 GB total VRAM · CDNA 2 · multi-node
~$62.50/h
195x NVIDIA T4
3120 GB total VRAM · Turing · multi-node
~$97.50/h
17x AMD Instinct MI300X
3264 GB total VRAM · CDNA 3 · multi-node
~$102.00/h
Quick GPU Planning
Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.
Access Pre-filled CalculatorFrequently Asked Questions
How much VRAM do you need to run Kimi K3.1 Pro?
With an estimated 2780.1B parameters, Kimi K3.1 Pro needs roughly 3107 GB of VRAM in 8-bit (INT8), 1554 GB in 4-bit, and 6214 GB in FP16, including a 20% overhead for activations and KV cache.
Which GPUs can run Kimi K3.1 Pro?
At 8-bit quantization, the most cost-effective option is 25x AMD Instinct MI250X (3200 GB combined VRAM, around $62.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.
Can Kimi K3.1 Pro run on a single GPU?
No. Even in 4-bit, Kimi K3.1 Pro exceeds the memory of any single current GPU, so a multi-GPU cluster is required.
How much does it cost to serve Kimi K3.1 Pro in the cloud?
Renting 25x Instinct MI250X costs on the order of $62.50/hour, i.e. about $45,625/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.
Deploy on a GPU cloud
Rent 25x Instinct MI250X by the hour instead of buying hardware.
