CategoryKnowledge
MeasureMatching accuracy
TasksFour multi-channel cell-imaging perturbation-matching tasks
DifficultyBiomedical image and molecular reasoning
Matches multi-channel cellular imaging data to the molecule-dose perturbations that produced it.
Morphology-to-molecule matching ranking
2 models with a published Morphology-to-molecule matching value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
Models ranked by their published Axiom Bio morphology-to-molecule matching value| Rank | Model | Provider | Matching accuracy |
|---|
| 1 |  Claude Opus 5.5 | Anthropic | 34.0 |
| 2 | Claude Sonnet 5.5 | Anthropic | 25.0 |
Evidence key: Observed
Rows are ordered by the value Claude Opus 5.5 System Card published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.
About Morphology-to-molecule matching
What the benchmark measures and how its value is published, from the source’s own record.
What is Morphology-to-molecule matching?
Morphology-to-molecule matching (Axiom Bio morphology-to-molecule matching) is a knowledge benchmark published by Claude Opus 5.5 System Card. Matches multi-channel cellular imaging data to the molecule-dose perturbations that produced it. Its evaluation set is described by the source as four multi-channel cell-imaging perturbation-matching tasks. The source rates its difficulty as biomedical image and molecular reasoning.
How is Morphology-to-molecule matching scored?
Each model's result is published by Claude Opus 5.5 System Card as matching accuracy. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 2 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
ModelScale