FrontierThe story, in brief
Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard
80.04%. That's Gemini 3.1 Pro's new text-to-SQL execution accuracy on BIRD—a benchmark that matters for every enterprise moving AI into database workflows.
The KeyNews take
Why it matters
Google is advancing AI's ability to convert natural language into accurate SQL queries, a critical capability for enterprise data access and automation. This benchmark score signals competitive progress in a high-value application layer.
The key facts
5 to knowGemini-SQL2 announced June 12, 2026
80.04% execution accuracy on BIRD single-model leaderboard
Powered by Gemini 3.1 Pro
Text-to-SQL capability focus
Schema-grounded implementation pattern supported
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: We look at Gemini-SQL2, the text-to-SQL capability Google Research announced on June 12, 2026. Powered by Gemini 3.1 Pro, it posted 80.04% execution accuracy on the BIRD single-model leaderboard. We explain what the score measures, how the leaderboard stacks up, and what Google has not yet…