Distillfast vs OpenAI Fine-Tuning API
OpenAI fine-tuning costs $8/M training tokens and your data goes to OpenAI. Distillfast is cheaper, private, and gives you a model you can download and own.
Feature
Openai Fine Tuning
Distillfast
Training cost
$8/M tokens + GPU time
₹2,499/month flat (incl. fine-tuning)
Inference cost
$12–30/M tokens (GPT-3.5/4 fine-tuned)
$0.20/M tokens
Data privacy
Data sent to OpenAI
Private AWS bucket, never shared
Model ownership
OpenAI owns weights
You own LoRA weights, downloadable
Base models available
GPT-3.5, GPT-4o mini
Llama 3.1, Mistral 7B, Gemma 2
Synthetic data gen
Not included
Included — 50k pairs from 50 examples
Setup time
~2 hours
< 30 minutes
Model ecosystem
OpenAI ecosystem only
Open-source, self-hostable
Auto-retraining
Manual
Automated weekly from ticket sources
Our verdict
OpenAI fine-tuning is a good starting point, but you are renting a model on OpenAI's infrastructure at OpenAI's prices. Distillfast gives you a model you actually own — cheaper to run, private by default, and portable to any infrastructure.
Try Distillfast free
2 models included. No credit card. Fine-tune in under an hour.
More comparisons: