Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution accuracy on the BIRD Text-to-SQL Leaderboard (Single Model). Google’s chart places it above its own Gemini-SQL, the prior top entry. The metric measures whether generated SQL runs and returns correct results, not whether it looks valid.
https://x.com/GoogleResearch/status/2065475343205740911
Gemini-SQL2 is a text-to-SQL capability, not a standalone foundation model release. It translates natural language questions into what Google calls ‘execution-ready SQL queries.’ The capability is built on Gemini 3.1 Pro.
Per the announcement on X, “data subtlety & complex business contexts make generating accurate SQL from natural language notoriously hard.” The X Post also stated that “improved SQL understanding can elevate natural language skills across Google’s data services.” That points toward integration targets like BigQuery Studio, AlloyDB AI, and Cloud SQL Studio, which already ship Gemini-based SQL generation. Google has not yet confirmed which products will receive Gemini-SQL2.
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