DDR-Bench - Unsupported Factual Insights - MIMIC: 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 - MIMIC 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
2Gemini 3 Flash0#103
3DeepSeek V3.20#210
4GLM-4.60#265
5GPT-5 Mini2.38#193
6GPT-5.22.86#115
7Qwen 3 Next 80B A3B Instruct5.26#381
8Claude Sonnet 4.56.15#148
9MiniMax-M29.09#327

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-mimic · How It Works · Data refreshed daily, snapshot 2026-11-05.