GOOGLE'S GEMINI-SQL2 DOMINATES TEXT-TO-SQL BENCHMARKS

AI DESK■ 1 MIN READ

SAT, JUN 13, 2026

■ AI-SUMMARIZED FROM 3 SOURCES ▸ TIMELINE

Google Research's Gemini-SQL2 achieves 80.04% accuracy on the BIRD benchmark, significantly outperforming competitors from OpenAI and Anthropic. The system converts natural language queries into executable SQL code.

Built on Gemini 3.1 Pro, Gemini-SQL2 demonstrates substantial performance gains in text-to-SQL translation. The 80.04% BIRD benchmark score establishes a clear lead over existing solutions in the competitive field. The technology translates natural language requests directly into SQL queries, enabling users to interact with databases without technical SQL knowledge. Google Research indicates the advancement could enhance natural language capabilities across its data services portfolio. Text-to-SQL systems address a significant challenge in database accessibility, allowing non-technical users to query complex data systems through conversation. The performance improvement suggests potential applications in enterprise data analytics, business intelligence platforms, and consumer-facing database tools. Google has not announced specific deployment timelines or product integration plans for Gemini-SQL2.

■ SOURCES

► The Decoder ► Bloomberg Tech ► Bloomberg Tech

■ SUMMARY WRITTEN BY AI FROM THE LINKS ABOVE

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GOOGLE'S GEMINI-SQL2 DOMINATES TEXT-TO-SQL BENCHMARKS

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