GABench - Open-Ended QA - Prediction (Text-Paired 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 prediction tasks that answer a scenario-based open question on text-paired graphs (the HIV and PCBA molecule collections). 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; prediction scenario-based open-ended graph questions (insight and prediction) with its 10 analysis tools on text-paired graphs (the HIV and PCBA molecule collections, 200 generated tasks per dataset and category); LLM agent in the OpenClaw harness, one run). Source: arxiv.org. Saturation forecast: Around 2030. 6 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5-Turbo12.5#231
2GPT-5 Mini8.29#348
3GLM-4.5 Flash6.12#979
4Gemini 3 Flash4.76#164
5Qwen 3 235B A22B3.7#623
6DeepSeek V4 Pro3.33#188

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-prediction-text-paired-graphs · How It Works · Data refreshed daily, snapshot 2026-11-13.