GABench - Open-Ended QA - Insight (Numerical-Attribute Graphs): leaderboard

Metric: Task success rate (%; share of tasks whose final answer a DeepSeek-V4-Flash judge marks consistent with the verified ground truth; insight scenario-based open-ended graph questions (insight and prediction) with its 10 analysis tools on numerical-attribute graphs (DGraph-Fin, Pokec, NBA, Credit and Bail, 200 generated tasks per dataset and category); LLM agent in the OpenClaw harness, one run). Source: arxiv.org. Saturation forecast: Around 2029. 6 models tracked.

Top models

#ModelScore
1Gemini 3 Flash7.76
2GLM-5-Turbo7.65
3GPT-5 Mini5.92
4DeepSeek V4 Pro4.8
5Qwen 3 235B A22B2.35
6GLM-4.5 Flash0.34

Interactive version: theaggregate.ai/benchmark?slug=gabench-open-ended-qa-insight-numerical-attribute-graphs · How It Works · Data refreshed daily, snapshot 2026-09-29.