How much cheaper is Distillfast compared to GPT-4?

Typically 80–95% cheaper. After fine-tuning on your data, the student model runs on smaller open-source models like Llama 3 or Mistral at a fraction of GPT-4's API cost.

How long does fine-tuning take?

Most jobs complete in 30–90 minutes on our GPU cluster. Synthetic data generation via Claude takes 2–5 minutes for 50k pairs.

Do I own the fine-tuned model?

Yes. You retain full ownership of your datasets and the LoRA adapter weights. You can download them and self-host at any time.

Is my training data private?

Completely. Your data is stored in private AWS S3 buckets in India (Mumbai). We never use it to train our own models.

Reduce LLM Costs by 60–80%

Fine-tune a private model in < 48hrs — no data labelling, no ML team required.

your examples

production logs

synthetic data

model training

your API endpoint

your examples

production logs

synthetic data

model training

your API endpoint

Own Your Model. Cut Your Bill.

60–80%

avg cost reduction

48hrs

upload to live API

examples to start

ML expertise needed

Fine-Tune in 48 Hours

Distillfast automatically generates 50,000 synthetic training pairs from your examples and fine-tunes a private model on our GPU cluster. Problem in, production model out:

1. Upload 50 real examples from your task
2. We generate 50k training pairs via Claude
3. Fine-tune Llama or Mistral on our GPU cluster
4. Deploy — get an OpenAI-compatible API endpoint

Get started

60–80% Lower Inference Costs

Replace expensive GPT-4 API calls with a purpose-built model trained on your exact task — on classification, extraction, and summarisation. No ML team needed:

10–200x smaller than frontier models
Accuracy within 3% of GPT-4o on your specific task
Inference at $0.0002 / 1k tokens vs $0.015 for GPT-4o

Book a demo

You own the model weightsOpenAI-compatible APIAWS Mumbai hostedNo vendor lock-in

How it works

From Examples to Private API in 48 Hours

You bring 50 real examples. We handle everything else.

Step 1 of 5

You Upload 50 Examples

50 samples

all you need

Paste a small set of high-quality examples — Q&A pairs, instruction-response, classifications, or free-form completions. No ML expertise needed.

JSON, CSV, or plain text formats
Minimum 5 examples required
Auto-detects format and schema
Instant validation feedback

50 samples

all you need

Tech Stack

Format: JSONL / Alpaca / ShareGPT

Start Your First Fine-tune — Free

No credit card · 90-minute training · Model weights are yours

Step 1 — Live Demo

Synthetic Data Generator

Paste 3–10 examples. Claude generates 50 high-quality training pairs in seconds.

Your Examples

Minimum 2 · JSON array format

Generated Results

Generated examples will appear here

Edit examples on the left, then click Generate

Demos & Benchmarks

Real Models. Real Numbers.

Every benchmark is run publicly with open weights and reproducible code.

BenchmarkMay 2026

Fine-tuning Llama 3.1 8B for Customer Support: +151% Quality at $3 Cost

We fine-tuned a general-purpose Llama 3.1 8B on 10,000 customer support examples. ROUGE-L score jumped from 0.17 to 0.42 in 72 minutes. Running cost dropped from $10/M tokens (GPT-4o) to $0.10/M tokens.

+151%

quality improvement

total training cost

72 min

training time

Try live demo

DemoMay 2026

GST Expert Model: Indian Tax Law Q&A Fine-tuned on CGST, SGST & CBIC Circulars

We built a private GST consultant model trained on Indian tax law — CGST, SGST, IGST Acts and CBIC circulars. Ask it anything about rates, ITC, returns, e-way bills, or RCM. No generic answers, no hallucinated rates.

GST

domain-specific

API cost per query

100%

India data hosted

Pricing

Free to Start. Serious Savings as You Scale.

No credit card required. Cancel anytime. Your model weights are always yours to download.

Starter

Freeforever

2 fine-tuned models
1 training job at a time
50k synthetic pairs / job
Community support
API access included

Start Free