GlobalDentBench: leaderboard
While large language models (LLMs) hold transformative potential for medicine, their reasoning robustness and safety in real-world clinical scenarios remain critically underexplored, particularly in dentistry. Here we introduce GlobalDentBench, the first multinational dental benchmark, featuring a taxonomy that encompasses 14 dental specialties across 88 countries and regions spanning six continen
Metric: Macro-Average Score (self-reported). Source: benchmarklist.com. Saturation forecast: Around June 2027. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 63.27 | #58 |
| 2 | Gemini 3 Flash (Preview) | 61.59 | #82 |
| 3 | GPT-5.4 | 60.79 | #79 |
| 4 | Claude Sonnet 4.6 | 59.71 | #90 |
| 5 | Grok 4 | 57.77 | #181 |
| 6 | GLM-5 | 56.43 | #141 |
| 7 | Seed 2.0 Pro | 55.77 | #118 |
| 8 | DeepSeek R1 | 55.53 | #251 |
| 9 | Kimi K2.5 | 55.49 | #144 |
| 10 | Qwen 3.5 Plus | 52.55 | #125 |
| 11 | Qwen 3.5 Flash | 51.41 | #232 |
| 12 | MiniMax-M2.7 | 51.05 | #258 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=globaldentbench · How It Works · Data refreshed daily, snapshot 2026-10-20.