imagenet-zero-shot is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for imagenet-zero-shot.
Top 1 is the reported evaluation metric for imagenet-zero-shot. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
Muted rows were not state of the art when published — an earlier or same-year result already scored better.
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | EVA-CLIP-18B | verified | 83.8 | 2026 | Source ↗ | Looks wrong? |
| 02 | SigLIP-SO400M | verified | 83.2 | 2026 | Source ↗ | Looks wrong? |
| 03 | OpenCLIP ViT-G/14 | verified | 80.1 | 2026 | Source ↗ | Looks wrong? |
| 04 | CLIP ViT-L/14 | verified | 75.5 | 2026 | Source ↗ | Looks wrong? |