Visual Question Answering on VRSBench (Accuracy)
77.02AccuracyGeoSolver
Evaluation results
| Method | Links | |
|---|---|---|
| GeoSolverModel Category=Ours2026.03 | 77.02 | |
| Kimi-VL-ThinkingModel Category=Open-source Reasoning Vision-Language Models2026.03 | 69.09 | |
| RS-EoTModel Category=Open-source Reasoning Vision-Language Models2026.03 | 69 | |
| GLM-4.1V-ThinkingModel Category=Open-source Reasoning Vision-Language Models2026.03 | 63.57 | |
| ChatGPT-5Model Category=Closed-source Commercial Vision-Language Models2026.03 | 62.2 | |
| Gemini-2.0-flashModel Category=Closed-source Commercial Vision-Language Models2026.03 | 61.92 | |
| Qwen2.5-VLModel Category=Open-source Vision-Language Models2026.03 | 59.64 | |
| Claude-sonnet-4Model Category=Closed-source Commercial Vision-Language Models2026.03 | 58.95 | |
| VHMModel Category=Open-source Remote Sensing Vision-Language Models2026.03 | 54.26 | |
| SkySenseGPTModel Category=Open-source Remote Sensing Vision-Language Models2026.03 | 48.59 | |
| EarthDialModel Category=Open-source Remote Sensing Vision-Language Models2026.03 | 39.18 | |
| MiniGPT-v2Model Category=Open-source Vision-Language Models2026.03 | 37.35 |