OpenAI
GPT-5.6 Sol
OpenAI's flagship tuned for the hardest math, science and security reasoning
Model Summary
Family
GPT-5.6
Version
5.6
Parameters
2400B (est.)
Parameter counts for closed models are estimates; vendors rarely publish exact sizes.
VRAM Requirements by Quantization
Memory needed to serve GPT-5.6 Sol for inference, including a 20% overhead for activations and KV cache.
| Precision | VRAM needed | Smallest single GPU that fits |
|---|---|---|
| INT4 (4-bit) | 1341.10 GB | Multi-GPU required |
| INT8 (8-bit) | 2682.21 GB | Multi-GPU required |
| FP16 (16-bit) | 5364.42 GB | Multi-GPU required |
| FP32 (32-bit) | 10728.84 GB | Multi-GPU required |
Recommended GPU Configurations
Cheapest on-demand configurations to serve GPT-5.6 Sol at 8-bit (2682 GB VRAM).
14x AMD Instinct MI300X
2688 GB total VRAM · CDNA 3 · multi-node
~$84.00/h
11x AMD Instinct MI325X
2816 GB total VRAM · CDNA 3 · multi-node
~$88.00/h
10x AMD Instinct MI355X
2880 GB total VRAM · CDNA 4 · multi-node
~$130.00/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 GPT-5.6 Sol?
With an estimated 2400B parameters, GPT-5.6 Sol needs roughly 2682 GB of VRAM in 8-bit (INT8), 1341 GB in 4-bit, and 5364 GB in FP16, including a 20% overhead for activations and KV cache.
Which GPUs can run GPT-5.6 Sol?
At 8-bit quantization, the most cost-effective option is 14x AMD Instinct MI300X (2688 GB combined VRAM, around $84.00/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.
Can GPT-5.6 Sol run on a single GPU?
No. Even in 4-bit, GPT-5.6 Sol exceeds the memory of any single current GPU, so a multi-GPU cluster is required.
How much does it cost to serve GPT-5.6 Sol in the cloud?
Renting 14x Instinct MI300X costs on the order of $84.00/hour, i.e. about $61,320/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 14x Instinct MI300X by the hour instead of buying hardware.
