Axiom Bio morphology-to-molecule matching (Morphology-to-molecule matching)
We show this table for reference; we do not rank on it.
Matches multi-channel cellular imaging data to the molecule-dose perturbations that produced it.
Benchmark score on Morphology-to-molecule matching — September 27, 2026
We compile the Morphology-to-molecule matching rows from provider self-reports. Claude Opus 5.5 leads the table at 34.0%. We do not use these results to rank models overall.
1 modelKnowledgeCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (1 model)
ScoreAbout Morphology-to-molecule matching
Year
2026
Tasks
Four multi-channel cell-imaging perturbation-matching tasks
Format
Matching accuracy
Difficulty
Biomedical image and molecular reasoning
Section 8.17.3 reports a provider-run result in a closed sandbox with imaging data, code execution, and no network access. It is display-only evidence.
Freshness and provenance
Version
Morphology-to-molecule matching 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Morphology-to-molecule matching measure?
Matches multi-channel cellular imaging data to the molecule-dose perturbations that produced it.
Which model scores highest on Morphology-to-molecule matching?
Claude Opus 5.5 by Anthropic currently leads with a score of 34.0% on Morphology-to-molecule matching.
How many models are evaluated on Morphology-to-molecule matching?
1 AI models have been evaluated on Morphology-to-molecule matching on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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