Anthropic biomedical-image-analysis evaluation (Biomedical image analysis)
We show this table for reference; we do not rank on it.
Quantitative biomedical image analysis across segmentation, detection, measurement, classification, registration, reconstruction, and tracking tasks.
Benchmark score on Biomedical image analysis — September 27, 2026
We compile the Biomedical image analysis rows from provider self-reports. Claude Opus 5.5 leads the table at 71.4%. We do not use these results to rank models overall.
1 modelMultimodal & GroundedCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (1 model)
ScoreAbout Biomedical image analysis
Year
2026
Tasks
91 cases across 31 biomedical imaging tasks
Format
Normalized task metric
Difficulty
Biomedical image analysis
Section 8.17.7 reports a provider-run evaluation over 91 cases from 31 public biomedical imaging tasks, normalized against a baseline and the best published competition result. It is display-only evidence.
Freshness and provenance
Version
Biomedical image analysis 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 Biomedical image analysis measure?
Quantitative biomedical image analysis across segmentation, detection, measurement, classification, registration, reconstruction, and tracking tasks.
Which model scores highest on Biomedical image analysis?
Claude Opus 5.5 by Anthropic currently leads with a score of 71.4% on Biomedical image analysis.
How many models are evaluated on Biomedical image analysis?
1 AI models have been evaluated on Biomedical image analysis on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
Read a sample issueJoin 2,000+ readers.
One email each week. Unsubscribe anytime.