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Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard

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 disclosed. We also cover use cases and a schema-grounded implementation pattern.

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marktechpost.com

the-decoder.com

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Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard

Google shipped Gemini-SQL2 (Gemini 3.1 Pro text-to-SQL) at 80.04% execution accuracy, leading the BIRD benchmark. Data teams integrate natural-language query into BigQuery and AlloyDB, reducing manual SQL drafting; 80% accuracy means human review is still needed on one-in-five queries.

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the-decoder.com1 mese fa

Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin

Gemini-SQL2 hits 80.04% accuracy on BIRD benchmark, outpacing GPT-5.5-xhigh (72.8%) and Claude Opus 4.6 (70.9%). Better text-to-SQL translation accelerates BI workflows and reduces database team bottlenecks—key for scaling self-service analytics.

Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard

Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin

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Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard

Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin