SciFigPlag-Bench: leaderboard
Metric: Overall score (%; mean of pairwise-detection accuracy, source-attribution accuracy, reuse-type joint accuracy and paired reuse-localization accuracy; SciFigPlag-Bench pairs of source and suspicious scientific figures (2,582 plagiarized pairs from documented real cases and taxonomy-guided synthesis, 2,541 visually similar negatives); the same task-specific prompts for every model, temperature 0). Source: arxiv.org. Saturation forecast: Around December 2026. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 83 |
| 2 | Gemma 4 31B (IT) | 82.7 |
| 3 | Qwen 3.6 35B A3B | 80.5 |
| 4 | GPT-5.4 | 80.1 |
| 5 | Qwen 3.5 35B A3B | 79.8 |
| 6 | Claude Sonnet 4.6 | 77.6 |
| 7 | Gemma 4 26B A4B (IT) | 53.5 |
| 8 | InternVL3.5-8B | 45.8 |
| 9 | Mistral Small 4 | 37.3 |
| 10 | Pixtral-12B-2409 | 33.1 |
| 11 | Qwen 3.5 2B | 30.9 |
| 12 | Gemma 3 4B (IT) | 28.6 |
Interactive version: theaggregate.ai/benchmark?slug=scifigplag-bench · How It Works · Data refreshed daily, snapshot 2026-09-29.