Gemini 3.1 Pro
Google's top multimodal model with native Search grounding
Model Summary
Family
Gemini
Version
3.1
Parameters
250B (est.)
Parameter counts for closed models are estimates; vendors rarely publish exact sizes.
VRAM Requirements by Quantization
Memory needed to serve Gemini 3.1 Pro for inference, including a 20% overhead for activations and KV cache.
| Precision | VRAM needed | Smallest single GPU that fits |
|---|---|---|
| INT4 (4-bit) | 139.70 GB | NVIDIA H200 SXM5 (141 GB) |
| INT8 (8-bit) | 279.40 GB | NVIDIA B300 SXM (288 GB) |
| FP16 (16-bit) | 558.79 GB | Multi-GPU required |
| FP32 (32-bit) | 1117.59 GB | Multi-GPU required |
Recommended GPU Configurations
Cheapest on-demand configurations to serve Gemini 3.1 Pro at 8-bit (279 GB VRAM).
2x AMD Instinct MI300X
384 GB total VRAM · CDNA 3
~$12.00/h
1x AMD Instinct MI355X
288 GB total VRAM · CDNA 4
~$13.00/h
2x AMD Instinct MI325X
512 GB total VRAM · CDNA 3
~$16.00/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 Gemini 3.1 Pro?
With an estimated 250B parameters, Gemini 3.1 Pro needs roughly 279 GB of VRAM in 8-bit (INT8), 140 GB in 4-bit, and 559 GB in FP16, including a 20% overhead for activations and KV cache.
Which GPUs can run Gemini 3.1 Pro?
At 8-bit quantization, the most cost-effective option is 2x AMD Instinct MI300X (384 GB combined VRAM, around $12.00/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.
Can Gemini 3.1 Pro run on a single GPU?
Yes. In 8-bit, a single NVIDIA B300 SXM (288 GB) fits the model.
How much does it cost to serve Gemini 3.1 Pro in the cloud?
Renting 2x Instinct MI300X costs on the order of $12.00/hour, i.e. about $8,760/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 2x Instinct MI300X by the hour instead of buying hardware.
