LithoBench: leaderboard
Remote sensing lithology interpretation is fundamental to geological surveys, mineral exploration, and regional geological mapping. Unlike general land-cover recognition, lithology interpretation is a knowledge-intensive task that requires experts to infer rock types from various features, e.g., subtle visual, spectral, textural, geomorphological, and contextual cues, making reliable automated int
Metric: MCQ$_{\mathrm{all}}$ (self-reported). Source: benchmarklist.com. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GLM-4.6V | 94.5 | #316 |
| 2 | Gemini 3 Pro | 94.17 | #80 |
| 3 | GPT-5.4 | 93 | #79 |
| 4 | Qwen 3.5 397B A17B | 92.77 | #146 |
| 5 | Kimi K2.5 | 85.35 | #144 |
| 6 | Claude Sonnet 4.6 | 79.15 | #90 |
| 7 | Qwen 3.5 27B | 77.2 | #187 |
| 8 | Grok 4 | 76.05 | #181 |
Interactive version: theaggregate.ai/benchmark?slug=lithobench · How It Works · Data refreshed daily, snapshot 2026-10-20.