SC-Arena - Scientific QA: leaderboard
Metric: Knowledge-augmented judge score from 0 to 100 on SC-Arena scientific QA (254 mechanistic questions drawn from 100 PubMed articles); a GPT-4o-mini judge given the reference answer and curated external knowledge (Cell Ontology, CellMarker, Gene Ontology, UniProt, NCBI and source literature) rates each answer 0 to 5, rescaled to 0 to 100 and averaged over the task's items; cells are written as cell sentences of ranked gene names; higher is better. Source: arxiv.org. Saturation forecast: Around May 2027. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 235B A22B | 74.48 | #304 |
| 2 | Qwen 3 8B | 72.83 | #667 |
| 3 | Qwen 3 14B | 72.2 | #524 |
| 4 | DeepSeek R1 | 70.87 | #245 |
| 5 | Kimi K2 | 69.13 | #236 |
| 6 | GPT-4o | 67.56 | #333 |
| 7 | Qwen 2.5 32B | 66.77 | #532 |
| 8 | Qwen 2.5 14B | 66.37 | #711 |
| 9 | Qwen 3 32B | 65.03 | #424 |
| 10 | Qwen 2.5 7B | 64.09 | #912 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=sc-arena-scientific-qa · How It Works · Data refreshed daily, snapshot 2026-10-11.