AstaBench - Code & Execution: leaderboard

Agents set up and run research repositories (SUPER-Expert), reproduce published computational results (CORE-Bench-Hard) and complete data-science code (DS-1000); the score is the mean of the three. Unlike HAL's CORE-Bench Hard board it averages reproduction with repository setup and library-coding tasks under each agent's own scaffold.

Metric: Mean of SUPER-Expert, CORE-Bench-Hard and DS-1000 test scores (0-1). Source: allenai-asta-bench-leaderboard.hf.space. Saturation forecast: Around February 2027. 24 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (xHigh)0.7#79 (Claude Opus 4.7)
2GPT-5.4 (2026-03-05) (xHigh)0.69#87 (GPT-5.4 (2026-03-05))
3GPT-50.6#167
4GPT-5 (Medium)0.55#167 (GPT-5)
5GPT-5 Mini (2025-08-07) (Medium)0.51#343 (GPT-5 Mini (2025-08-07))
6O3 (2025-04-16) (Medium)0.49#216 (O3 (2025-04-16))
7Claude Sonnet 4 (20250514) (Thinking)0.46#387 (Claude Sonnet 4 (20250514))
8GPT-4.10.32#495
9Gemini 2.5 Flash (Preview 05-20)0.26#426
10Claude 3.5 Haiku (20241022)0.22#1578
11GPT-4o (2024-08-06)0.18#740
12Llama 4 Scout Instruct0.05#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-code-execution · How It Works · Data refreshed daily, snapshot 2026-11-13.