GABench - Open-Ended QA - Insight (Text-Attributed 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 text-attributed graphs (Reddit, Instagram, History, Product, Arxiv and Cora). 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 text-attributed graphs (Reddit, Instagram, History, Product, Arxiv and Cora, 200 generated tasks per dataset and category); LLM agent in the OpenClaw harness, one run). Source: arxiv.org. Saturation forecast: Around January 2028. 6 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4 Pro14.91#188
2GLM-5-Turbo13.56#231
3Gemini 3 Flash12.94#164
4GPT-5 Mini12.91#348
5Qwen 3 235B A22B5.33#623
6GLM-4.5 Flash3.92#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-text-attributed-graphs · How It Works · Data refreshed daily, snapshot 2026-11-13.