Lumina
LatchBio SingleCellBench leaderboard
1 ranked models · higher is better · labels show rank and score
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| Claude Opus 5 | #1 | Anthropic | 60.6% |
Loading benchmark header
Loading benchmark registry
Knowledge · Benchmark profile
Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows.
Data verified 27 Jul 2026 · Methodology 1.7.0
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
1 ranked models · higher is better · labels show rank and score
| Model | Rank | Provider | Score |
|---|---|---|---|
| Claude Opus 5 | #1 | Anthropic | 60.6% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Claude Opus 5 claude-opus-5 | Anthropic | closed | Estimated reference | 60.6% |
About LatchBio SingleCellBench
Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
Single-cell RNA sequencing analysis tasks spanning common bioinformatics workflows.
Claude Opus 5 by Anthropic currently leads with 60.6%.
1 model in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
Related
2026 · 21 results · Reference
Artificial Analysis MMLU-Pro2026 · 8 results · Reference
Massive Multitask Language Understanding2020 · 16 results · Reference
Graduate-Level Google-Proof Q&A2023 · 140 results · Reference
SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines2025 · 38 results · Reference
Massive Multitask Language Understanding Professional2024 · 85 results · Reference