AstaBench: leaderboard

Research agents, each driven here by one model in a named agent such as Ai2's ReAct baseline or Smolagents, work through 11 scientific-research tasks (literature search and synthesis, research-code execution, data-driven discovery, end-to-end experiments); the score is the mean of the four category averages, kept only for agents that ran every task. Unlike single-skill science benchmarks it rates the whole agent system across the research workflow, so the agent and its tools vary between rows.

Metric: Mean of the four category scores, agents that ran all 11 test-set tasks (0-1). Source: allenai-asta-bench-leaderboard.hf.space. Saturation forecast: Around February 2027. 23 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (xHigh)0.58#79 (Claude Opus 4.7)
2GPT-5.4 (2026-03-05) (xHigh)0.46#87 (GPT-5.4 (2026-03-05))
3GPT-5 (Medium)0.43#167 (GPT-5)
4O3 (2025-04-16) (Medium)0.38#216 (O3 (2025-04-16))
5Claude Sonnet 4 (20250514) (Thinking)0.37#387 (Claude Sonnet 4 (20250514))
6GPT-5 Mini (2025-08-07) (Medium)0.31#343 (GPT-5 Mini (2025-08-07))
7GPT-4.10.3#495
8Claude 3.5 Haiku (20241022)0.21#1578
9GPT-4o (2024-08-06)0.16#740
10Gemini 2.5 Flash (Preview 05-20)0.15#426
11Llama 4 Scout Instruct0.08#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 · How It Works · Data refreshed daily, snapshot 2026-11-13.