Ling‑1T vs Ring‑1T: SQL Optimization, Dialect Conversion & Understanding

1. Monthly Overview and Core Highlights

In October 2025, SCALE continues tracking AI progress in professional SQL and adds two trillion‑parameter models from Ant Bailing: Ling‑1T and Ring‑1T.

Ling‑1T : the first flagship model of the Ling 2.0 series.

Ring‑1T : a thought model based on the Ling 2.0 architecture, the world’s first open‑source trillion‑parameter thought model.

Key points: new model evaluation shows clear capability differentiation.

New model evaluation : Ling‑1T and Ring‑1T added. Ling‑1T excels in the “Domestic Database” conversion sub‑item (full score). Ring‑1T demonstrates a more balanced performance across SQL optimization, dialect conversion and SQL understanding.

2. Evaluation Benchmark Description

To ensure long‑term comparability and authority, the three‑dimensional SCALE benchmark remains unchanged.

SQL Optimization : assesses a model’s ability to improve query efficiency and performance.

Dialect Conversion : assesses accuracy of syntax migration between mainstream databases.

SQL Understanding : assesses precise parsing of complex query logic and user intent.

3. Focus Analysis

Topic 1: Ling‑1T First Evaluation

Published 2025‑10‑09. Scores: SQL Optimization 62.5, Dialect Conversion 59.2, SQL Understanding 59.4.

Strengths: outstanding performance in the “Domestic Database” conversion sub‑item (full score). Weaknesses: limited optimization depth (score 51.1), mis‑detects syntax errors such as GROUP BY, UNION, ORDER BY/LIMIT, and lacks context‑aware handling of MySQL’s ONLY_FULL_GROUP_BY.

Topic 2: Ring‑1T First Evaluation

Published 2025‑10‑14. Scores: SQL Optimization 70.5, Dialect Conversion 69.5, SQL Understanding 78.1.

Strengths: balanced high performance, perfect syntax‑error detection (100) and strong logical equivalence. Weaknesses: lower score in large‑SQL conversion (41.9) and modest execution‑plan detection.

4. Expert Commentary

Lin Chun , chief database expert at Pacific Insurance Digital Research Institute, notes that the SCALE October 2025 “Large Model SQL Capability Ranking” provides a precise benchmark for AI‑plus‑database technology selection, alleviating enterprises’ anxiety over model suitability.

The three‑dimensional framework (SQL optimization, dialect compatibility, SQL understanding) offers a transparent, industry‑wide reference for evaluating AI models in database scenarios.

5. Summary and Outlook

With Ling‑1T and Ring‑1T added, the SCALE leaderboard now covers more than 20 mainstream AI models and tools. Ling‑1T shines in domestic database adaptation, while Ring‑1T delivers a more balanced and robust overall SQL handling capability.

Future plans include continuous tracking of frontier models, incorporation of more real‑world enterprise scenarios, and maintaining an open, transparent evaluation ecosystem.