SDGBiasBench - MCQ (Reduced Variable Names): leaderboard
Three-option ordinal questions about Sustainable Development Goal indicators of a place from satellite and street-level imagery, with only the names of a reduced set of variables given as hints; SDGBiasBench (Lin et al., 2026). Accuracy in percent; higher is better.
Metric: Accuracy (%; three-option ordinal questions on SDG indicators from satellite and street-level imagery, only the names of a reduced subset of variables given as hints). Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 VL 7B | 53 | #1796 |
| 2 | InternVL3-8B | 51 | #1695 |
| 3 | GPT-4o | 49 | #741 |
| 4 | Gemini 2.0 Flash | 45 | #702 |
| 5 | Claude 3.5 Sonnet | 43 | #747 |
| 6 | InternVL3-14B | 40 | #1184 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=sdgbiasbench-mcq-reduced-variable-names · How It Works · Data refreshed daily, snapshot 2026-11-12.