by Black Forest Labs

FLUX.1 Pro.

image gen open weights laptop+ 12B params Rectified Flow Transformer
Smallest GPU
1× Nvidia GeForce RTX 3060Ti LHR
Run it yourself

Cheapest hardware per quantisation.

Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.

Quantisation Cheapest GPU config Total VRAM Live $/hr tokens/sec
FP16
FP16 — half precision (default)
32 GB — — Compare →
FP8
FP8 — 8-bit float (Hopper / Blackwell)
16 GB $0.048/hr — Compare →
INT4
INT4 — 4-bit integer (~4× VRAM saving)
8 GB — — Compare →
Just need an API?
Skip the GPU rental and call a hosted endpoint instead. See access providers on the Overview tab →