# Gemini-SQL2：基于Gemini 3.1 Pro的Text-to-SQL新SOTA，BIRD基准上表现强劲

- 来源：elvis (@omarsar0)
- 发布时间：2026-06-13 04:21
- AIHOT 分数：62
- AIHOT 链接：https://aihot.virxact.com/items/cmqbe1xof00nlslamlwhhckyf
- 原文链接：https://x.com/omarsar0/status/2065529965773267048

## AI 摘要

GoogleResearch推出Gemini-SQL2，基于Gemini 3.1 Pro，在BIRD benchmark上达到Text-to-SQL的SOTA结果，能将自然语言翻译为可直接执行的SQL查询。DAIR.AI的Elvis Saravia指出，现实世界数据复杂混乱，尽管强推理模型表现不错，但定制模型（如Gemini-SQL2）在此类任务上更胜一筹。他认为在知识库、搜索、图数据库等领域也存在类似机会，BIRD是一个非常具有挑战性的基准。

## 正文

Text-to-SQL might sound like a solved problem.

Far from it. Data gets messy and complex really fast in the real world. Strong reasoning models are great， but nothing beats a custom model at this stuff. Gemini-SQL2 looks very strong here. BIRD is a tough benchmark. I suspect there are plenty of opportunities like this in KBs， search， graph databases， etc.

### 引用推文

> Google Research：🚀 Introducing Gemini-SQL2, our breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! We've achieved state-of-the-art results on the highly competitive...