LoRA Training Cost Calculator
Calculate the exact cost to train a LoRA before you start. Pick your model, steps, and GPU — see cost and training time across every major provider. Flux Dev · SDXL · SD 3.5 · prices verified June 2026
Best quality. Needs A100/H100 or RTX 4090 with gradient checkpointing. Standard for production LoRAs.
Most LoRAs need 3–5 runs before the result is production-ready.
Select GPU— only GPUs with enough VRAM for Flux Dev (20GB required)
Note: Larger batches possible. Ideal for dataset > 100 images.
Provider comparison — A100 80GB · 1,500 steps
| # | Provider | Type | $/hr | $/run | Total (3×) |
|---|---|---|---|---|---|
| 1 | Vast.ai | Marketplace | $0.900 | $0.082 | $0.247 |
| 2 | RunPod | Community | $1.19 | $0.109 | $0.327 |
| 3 | Modal | Serverless | $2.10 | $0.193 | $0.578 |
| 4 | Lambda | Datacenter | $2.79 | $0.256 | $0.767 |
The most expensive part of LoRA training is not the GPU — it is failed experiments. Budget for 3–5 training runs before you get a good LoRA, not just 1. The first run tells you if your dataset is clean. The second validates your hyperparameters. The third (or fifth) is usually the one that actually ships.
Deploy your LoRA to production
Once trained, deploy your LoRA to Runflow for production serving. Runflow handles LoRA routing, hot-swapping, and scaling automatically — no DevOps overhead.