DDR-Bench - Unsupported Factual Insights - GLOBEM: leaderboard

Measures unsupported-but-factual insight rates in DDR-Bench from 1,850 sampled insights across ten models. Lower is better. An insight can be factually correct yet unsupported by the available database observations; this is distinct from checklist coverage and general factual-error rate. Published zeros are retained. Table 6 is a separate annotation population from the full accuracy table. This series reports DDR-Bench - Unsupported Factual Insights - GLOBEM using Unsupported Factual Insight Rate (%).

Metric: Unsupported Factual Insight Rate (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro0#159
2GPT-5.20#115
3Gemini 3 Flash0#103
4DeepSeek V3.20#210
5GPT-5 Mini0#193
6MiniMax-M20#327
7Claude Sonnet 4.51.11#148
8GLM-4.61.61#265
9Qwen 3 Next 80B A3B Instruct3.85#381

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=ddr-bench-unsupported-factual-insights-globem · How It Works · Data refreshed daily, snapshot 2026-11-05.