GeoAgentBench (Plan-and-React) - Map Verification: leaderboard
Metric: VLM verification score (0 to 100, mean of three GPT-4o judgements) comparing the agent's final map with the gold-trajectory map for data-spatial accuracy and cartographic style, on 53 spatial analysis tasks over 117 atomic GIS tools in an executable sandbox (30 steps per task), agents under the authors' Plan-and-React framework (global plan with step-wise reactive execution); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 79 |
| 2 | DeepSeek V3 | 68.5 |
| 3 | GPT-4o | 59.1 |
| 4 | Gemini 2.5 Flash | 52.9 |
| 5 | GPT-4o Mini | 43.4 |
| 6 | Qwen 2.5 7B Instruct | 20.1 |
| 7 | Llama 3.1 8B Instruct | 10.1 |
Interactive version: theaggregate.ai/benchmark?slug=geoagentbench-plan-and-react-map-verification · How It Works · Data refreshed daily, snapshot 2026-10-07.