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

GABench (2026) gives an LLM agent, run in the OpenClaw harness, graph-analysis questions over real graphs that it must answer by calling graph tools rather than reading the graph from the prompt; a DeepSeek-V4-Flash judge checks the final answer against a ground truth computed by executing the reference tool trajectory. This board covers insight tasks that answer a scenario-based open question on numerical-attribute graphs (DGraph-Fin, Pokec, NBA, Credit and Bail). Score is the task success rate in percent; higher is better.

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 July 2028. 6 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash7.76#164
2GLM-5-Turbo7.65#231
3GPT-5 Mini5.92#348
4DeepSeek V4 Pro4.8#188
5Qwen 3 235B A22B2.35#623
6GLM-4.5 Flash0.34#979

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

Interactive version: theaggregate.ai/benchmark?slug=gabench-open-ended-qa-insight-numerical-attribute-graphs · How It Works · Data refreshed daily, snapshot 2026-11-13.