Model Distillation

Train Smaller, Faster Models

Distill large models into compact, task-specific models that run 10x faster at 1/10th the cost.

Start Distillation

Why Distillation?

10x Faster Inference

Distilled models serve requests in milliseconds, not seconds.

90% Cost Reduction

Smaller models use fewer GPUs. Your margin improves dramatically.

95%+ Quality Retention

Task-specific distillation preserves the quality that matters for your use case.

Data Privacy

Your training data never leaves your environment. Full data sovereignty.

Custom Architectures

Choose from 1B to 32B parameter targets. We find the optimal size.

One-Click Deploy

Distilled models deploy to our inference cloud instantly. No DevOps needed.

How It Works

1

Upload Data

Provide task-specific examples. 1K-100K samples recommended.

2

Select Teacher

Choose the large model to distill from. We handle the training pipeline.

3

Deploy Student

Your distilled model is ready to serve via the same OpenAI-compatible API.

Distillation Pricing

Pay per training hour. No long-term commitments.

Small (1B-7B)

$2/hr

  • Up to 7B parameters
  • ~4 hours typical training
  • Ideal for classification & extraction
Start Distillation

Medium (7B-14B)

$5/hr

  • Up to 14B parameters
  • ~8 hours typical training
  • Good for summarization & QA
Start Distillation

Large (14B-32B)

$12/hr

  • Up to 32B parameters
  • ~16 hours typical training
  • Best for complex reasoning
Start Distillation