DNBench - Spider - Real World - Zero-shot: leaderboard
DNBench tests database schema normalization with single, complex and real-world functional-dependency violations. DNB-Score combines semantic losslessness, structural agreement and logical correctness; zero-shot and few-shot configurations are separated. This series reports DNBench - Spider - Real World - Zero-shot from 2609.11141v1, A4.T9: DNB-Score (0-100). Higher is better.
Metric: DNB-Score (0-100). Source: arxiv.org. Saturation forecast: Around October 2027. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 30B A3B 2507 Instruct | 26.5 | #501 |
| 2 | Llama 3.3 70B | 19.9 | #580 |
| 3 | Gemma 3 27B | 15.1 | #606 |
| 4 | Mixtral 8x7B Instruct | 13.6 | #1085 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=dnbench-spider-real-world-zero-shot · How It Works · Data refreshed daily, snapshot 2026-11-07.