LatchBio SingleCellBench (SingleCellBench)
We show this table for reference; we do not rank on it.
Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows.
Benchmark score on SingleCellBench — September 27, 2026
We compile the SingleCellBench rows from provider self-reports. Claude Opus 5.5 leads the table at 61.2%, followed by Claude Opus 5 (60.6%). We do not use these results to rank models overall.
Claude Opus 5.5
Anthropic
Claude Opus 5
Anthropic
2 modelsKnowledgeCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (2 models)
ScoreAbout SingleCellBench
Year
2026
Tasks
195 single-cell RNA sequencing problems
Format
Task score
Difficulty
Professional bioinformatics
Section 8.17.2 reports this provider-run result as display-only life-science evidence.
Freshness and provenance
Version
SingleCellBench 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 SingleCellBench measure?
Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows.
Which model scores highest on SingleCellBench?
Claude Opus 5.5 by Anthropic currently leads with a score of 61.2% on SingleCellBench.
How many models are evaluated on SingleCellBench?
2 AI models have been evaluated on SingleCellBench on BenchLM.
Compare top models on SingleCellBench
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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