Morphology-to-molecule matching
Progress Over Time
Interactive timeline showing model performance evolution on Morphology-to-molecule matching
Morphology-to-molecule matching Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Anthropic | — | 1.0M | $0.10 / $0.50 | ||
| 2 | Anthropic | — | 1.0M | $2.00 / $10.00 |
What is Morphology-to-molecule matching?
Axiom Bio morphology-to-molecule matching: match multi-channel cell imaging data from a human liver in-vitro assay to shuffled molecule-dose perturbations.
Morphology-to-molecule matching is a multimodal benchmark evaluating models on multimodal, science, biology, and vision tasks. LLM Stats tracks 2 models on this benchmark, scored on a 0–1 scale. The current average is 0.3, with the leader at 0.3.
Compare leaders on the best AI for multimodal, best AI for science, best AI for biology and best AI for vision leaderboards.
Current leaders
Claude Haiku 5.5 from Anthropic currently leads the Morphology-to-molecule matching leaderboard with a score of 0.254 across 2 evaluated AI models.
FAQ
Common questions about the Morphology-to-molecule matching benchmark and leaderboard.