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Data

LatchBio SingleCellBench (SingleCellBench)

We show this table for reference; we do not rank on it.

Data verified

Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows.

Benchmark score on SingleCellBench — November 13, 2026

We compile the SingleCellBench rows from provider self-reports. Claude Mythos 5.2 leads the table at 65.6%, followed by Claude Mythos 5.1 (61.8%) and Claude Opus 5.5 (61.2%). We do not use these results to rank models overall.

5 modelsKnowledgeCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (5 models)

All 5 results on this page were reported by the labs that built the models.

Benchmark score results for SingleCellBench
RankModel / configurationScoreParameters (B)Open / closed
1Claude Mythos 5.2AnthropicReported by Anthropic
65.6%
Not reportedClosed
2Claude Mythos 5.1AnthropicReported by Anthropic
61.8%
Not reportedClosed
3Claude Opus 5.5AnthropicReported by Anthropic
61.2%
Not reportedClosed
4Claude Opus 5AnthropicReported by Anthropic
60.6%
Not reportedClosed
5Claude Sonnet 5.5AnthropicReported by Anthropic
59.1%
Not reportedClosed
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

Among the reported SingleCellBench rows, Claude Mythos 5.2 is first at 65.6%. The third row is 4.4 points behind. The broader top-10 range is 6.5 points, so many of the published results sit in a relatively narrow band.

5 models have been evaluated on SingleCellBench. The benchmark falls in the Knowledge category. SingleCellBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About 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

CurrentDisplay only

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 Mythos 5.2 by Anthropic currently leads with a score of 65.6% on SingleCellBench.

How many models are evaluated on SingleCellBench?

5 AI models have published results on SingleCellBench in the BenchLM catalog.

Last updated: November 13, 2026 · BenchLM version SingleCellBench 2026

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