PathBench
PathBench is a multi-task, multi-organ benchmark for pathology foundation models. Bioptimus reports H-Optimus-1 as the top-ranked model on the overall rank score (lower is better).| Model | Overall rank score |
|---|---|
| H-Optimus-1 | 6.06 |
| Virchow2 | 6.34 |
| H-Optimus-0 | 6.86 |
| UNI2 | 7.10 |
| mSTAR | 7.65 |
Rankings are task- and organ-dependent. H-Optimus-1 ranks first overall and leads on several organs (e.g. lung and colorectal); other models lead on specific tasks. Always link to the source so readers can see the full picture.Sources: PathBench paper (arXiv:2505.20202) · bioptimus.com
HEST
HEST (Harvard; Jaume et al. 2025) measures how well a model predicts gene expression from histology across nine organs. The metric is Pearson’s correlation coefficient (higher is better). As of May 2026, H-Optimus-1 is the top-ranked image-only model on HEST, and M-Optimus-1 surpasses it by adding multimodal training.| Model | HEST (avg. Pearson r) |
|---|---|
| M-Optimus-1 | 0.440 |
| H-Optimus-1 | 0.423 |
Figures are reported in the M-Optimus-1 report (M-Optimus-1 vs. H-Optimus-1 on HEST). The full per-model HEST leaderboard is maintained by the HEST authors — see the source for the complete table and methodology.
H-Optimus-1 launch note (HEST details)
Bioptimus’s write-up of the HEST evaluation and methodology.
At scale
- 100+ papers published using Bioptimus models
- Used by 16 of the top 20 pharma companies
- 1,000+ clinical practices · 1M+ total model downloads
Research & publications
Peer-reviewed work and case studies in the Bioptimus Knowledge Base.