Jev or a fine-tuned small model? We built a pipeline with both to see the real difference.

In 30 Sekunden

Was passiert ist

Distil Labs compared Jev, a zero-shot classifier, against fine-tuned small models on an accounts payable pipeline with three decision types.

Warum es zählt

Engineers building high-volume classification systems should care when deciding between hosted APIs, fine-tuned small models, or one-pass classifiers for specific tasks.

Achtung

Results are synthetic data on one domain. Real-world performance depends heavily on task complexity, whether reasoning is needed, and whether structured output beyond labels is required.