Kimi K3.1 Pro VRAM needed and GPU rental cost

Kimi K3.1 Pro has 2780.1 billion parameters (from the model card). Weights alone take 5560.2 GB at FP16. With a 20% allowance for the KV cache and activations, plan for about 6672 GB of VRAM at FP16, 3336 GB at FP8 and 1668 GB at INT4. At FP8 it needs more than 8 GPUs.

Parameters
2780.1B
From the model card
FP16
6672 GB
Estimated VRAM
FP8
3336 GB
Estimated VRAM
INT4
1668 GB
Estimated VRAM

Memory and cost

Estimated VRAM and the cheapest public rental that fits

Each row is a way to run or tune Kimi K3.1 Pro. The option is the cheapest on-demand price we track, from rows we rate high or medium confidence, on one node of up to 8 GPUs. Change the precision or hours in the calculator.

Kimi K3.1 Pro memory estimate and cheapest rental by mode
ModeEstimated VRAMCheapest public on-demand optionPer month (730 h)Source
Inference, FP16 or BF166672 GBNeeds more than 8 GPUs of any type, so a multi-node job.n/a
Inference, FP8 or INT83336 GBNeeds more than 8 GPUs of any type, so a multi-node job.n/a
Inference, INT4 (4-bit)1668 GB6x B300 at Hyperstack, $44.40 per hour$32,412.00Source
Fine-tune, LoRA (16-bit base)6672 GBNeeds more than 8 GPUs of any type, so a multi-node job.n/a
Fine-tune, QLoRA (4-bit base)1668 GB6x B300 at Hyperstack, $44.40 per hour$32,412.00Source
Fine-tune, full (Adam, mixed precision)53378 GBNeeds more than 8 GPUs of any type, so a multi-node job.n/a
About this model. Parameter count from the Hugging Face safetensors total (2.78T, about 104B active per token). Mixture of experts: all experts must sit in memory, so the memory estimate uses total parameters. Published weights are about 4-bit (MXFP4), so the FP16 row is hypothetical.
How to read this. Memory is an estimate, not a benchmark. Multi-GPU setups need fast links between GPUs, and the cheapest row may be a marketplace or PCIe listing. Check the source page before you rent.

Fit by chip

How many GPUs Kimi K3.1 Pro needs, by chip

Number of GPUs whose combined memory covers the estimate. Compare the chips on their price pages.

GPUs needed by chip and precision
PrecisionL40S
48 GB
A100
80 GB
H100
80 GB
H200
141 GB
B200
180 GB
MI300X
192 GB
B300
288 GB
FP16 (6672 GB)more than 8more than 8more than 8more than 8more than 8more than 8more than 8
FP8 (3336 GB)more than 8more than 8more than 8more than 8more than 8more than 8more than 8
INT4 (1668 GB)more than 8more than 8more than 8more than 8more than 8more than 86

FAQ

Kimi K3.1 Pro questions

How much VRAM does Kimi K3.1 Pro need?

About 6672 GB at FP16, 3336 GB at FP8 and 1668 GB at INT4. These are estimates: parameters times bytes per parameter, plus 20% for the KV cache and activations. Long contexts and large batches need more.

Can Kimi K3.1 Pro run on one H100?

An H100 has 80 GB. At FP16 it needs more than 8 H100 GPUs, at FP8 more than 8 and at INT4 more than 8, by this estimate.

What does it cost to rent a GPU for Kimi K3.1 Pro?

At INT4 it is 6x B300 at Hyperstack, $44.40/hr. Prices change often, so check the source link on each row. Last checked Nov 10, 2026.

How are these estimates made?

Memory is the parameter count times bytes per parameter (2 for FP16, 1 for FP8, 0.5 for INT4), times 1.2. Fine-tuning uses 2 bytes for LoRA, 0.5 for QLoRA and 16 for full fine-tuning with Adam (2 weights, 2 gradients, 12 optimizer bytes), times 1.2. Real usage depends on the framework, context length and batch size.

Need this capacity?

Tell us the GPU, count, term, region and budget. We reply with the public prices that match and the checks to run before you pay. Free, and we do not sell compute.