AI Fine-Tuning Cost Estimator
Estimate training and inference costs for fine-tuning LLMs on your custom dataset.
Cost by Provider
| Provider / Model | Training Cost | Monthly Inference | Total (1st month) |
|---|
How Fine-Tuning Pricing Works
Most providers charge per-token for training: Total training tokens = examples × avg_tokens × epochs. Inference on fine-tuned models is typically priced the same as or slightly higher than the base model.
Important Notes
- Client-side processing only — no data sent to server.
- Pricing is approximate and subject to change. Verify on provider pricing pages.
- Minimum training set sizes apply: OpenAI requires 10+ examples, recommended 50-100+.
- Fine-tuning may require data preparation and validation costs not shown here.
- Free to use with no login/signup required.
- Report bugs in comments with sample input and expected output.
Comments & Discussion
Facing issues? Have questions? Post them here! We're happy to help!