Knowledge Distillation · Model Compression
Distill GPT-4 Into a Smaller Model Without Losing Quality
Distill GPT-4 to a smaller model with Distillfast — transfer the reasoning of the large model into a compact 7–8B model that matches 92% of its quality on your specific tasks, at 10% of the cost.
92%
Quality retained vs GPT-4
50x
Cheaper than GPT-4 Turbo
18ms
Avg latency (vs 340ms GPT-4)
What Is Model Distillation — in Plain English
The Teacher Model
GPT-4 (or Claude) is your teacher. It already knows how to do your task well. You give it 50 of your real examples and it generates 50,000 high-quality (input, output) training pairs — covering variations, edge cases, and nuance.
The Student Model
A smaller model (Llama 3.1 8B, Mistral 7B) is the student. It trains on the teacher's outputs via QLoRA fine-tuning. After training, the student has internalized the teacher's reasoning patterns for your specific task.
Why It Works
GPT-4 is a generalist. It's optimised for millions of task types. Your use case is one task. A smaller model fine-tuned exclusively on your task can outperform GPT-4 on that specific task while being 50x cheaper to run — because it doesn't need to hold the world's knowledge, just yours.
DistillScore — Quality You Can Trust
Every model trained on Distillfast gets a DistillScore — our proprietary quality metric that measures how closely the student model matches the teacher's outputs on a held-out evaluation set.
Exact match accuracy
Token-level agreement on structured outputs
Semantic similarity
Embedding distance on free-form text outputs
Task-specific eval
Domain metrics (F1, BLEU, precision/recall)
If DistillScore drops below 85%, Distillfast automatically generates more training data and retrains before serving the model.
Quality vs Cost Comparison
Quality scores on domain-specific classification tasks. Cost at 10M tokens/month.
| Model | Quality | Cost / M tokens | Latency | Best For |
|---|---|---|---|---|
| GPT-4 Turbo | 100% | ₹1,660/M | 340ms | Benchmarks, creative tasks |
| GPT-4o | 95% | ₹622/M | 180ms | General production workloads |
| Distillfast fine-tuned 8BRecommended | 92% | ₹17/M | 18ms | Your specific use case |
| Raw Llama 3.1 8B | 68% | ₹17/M | 18ms | Generic, off-shelf tasks |
* Quality on domain-specific tasks. Generic benchmark scores differ. Latency measured on ap-south-1 Mumbai.
Distill your first model — free
Free plan includes 2 fine-tuned models. Results in 45 minutes.
Start distilling GPT-4 today
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