LitXBench - Composition Extraction (Code Output): leaderboard
Metric: F1 (0-1) for extracting the experimentally synthesized compositions from the OCR text of LitXAlloy's 19 alloy papers, mean of three runs; the model returns a pymatgen Composition object, with composition-normalizing helper functions provided; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash (Preview) | 0.99 |
| 2 | Gemini 3.1 Pro (Preview) | 0.98 |
| 3 | GPT-5 Mini | 0.98 |
| 4 | Claude Opus 4.6 | 0.97 |
| 5 | GPT-5.2 (High) | 0.97 |
| 6 | Claude Haiku 4.5 | 0.77 |
Interactive version: theaggregate.ai/benchmark?slug=litxbench-composition-extraction-code-output · How It Works · Data refreshed daily, snapshot 2026-10-07.