GABench - Open-Ended QA - Prediction (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 prediction 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; prediction 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 2030. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 235B A22B | 4.36 | #623 |
| 2 | GLM-5-Turbo | 3.22 | #231 |
| 3 | GPT-5 Mini | 2.96 | #348 |
| 4 | DeepSeek V4 Pro | 1.98 | #188 |
| 5 | Gemini 3 Flash | 1.15 | #164 |
| 6 | GLM-4.5 Flash | 0.3 | #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-prediction-numerical-attribute-graphs · How It Works · Data refreshed daily, snapshot 2026-11-13.