AstaBench - Literature Understanding: leaderboard

Agents find papers (PaperFindingBench, LitQA2-FullText-Search), answer long-form questions with citations (ScholarQA-CS2), build literature-review tables (ArxivDIGESTables-Clean) and answer full-text multiple-choice questions (LitQA2-FullText); the score is the weighted mean of the five, the two LitQA2 tasks at half weight. Unlike LitQA2 alone it mixes retrieval, synthesis and table building in one average.

Metric: Weighted mean of 5 literature tasks, the two LitQA2 tasks at half weight (0-1). Source: allenai-asta-bench-leaderboard.hf.space. Saturation forecast: Around May 2027. 23 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (xHigh)0.61#79 (Claude Opus 4.7)
2GPT-5.4 (2026-03-05) (xHigh)0.58#87 (GPT-5.4 (2026-03-05))
3GPT-5 (Medium)0.55#167 (GPT-5)
4O3 (2025-04-16) (Medium)0.48#216 (O3 (2025-04-16))
5GPT-4.10.46#495
6Claude Sonnet 4 (20250514) (Thinking)0.46#387 (Claude Sonnet 4 (20250514))
7GPT-5 Mini (2025-08-07) (Medium)0.37#343 (GPT-5 Mini (2025-08-07))
8Claude 3.5 Haiku (20241022)0.36#1578
9Gemini 2.5 Flash (Preview 05-20)0.33#426
10GPT-4o (2024-08-06)0.32#740
11Llama 4 Scout Instruct0.2#1543

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=astabench-literature-understanding · How It Works · Data refreshed daily, snapshot 2026-11-13.