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Google's Gemini-SQL2 Achieves 80% Accuracy on Text-to-SQL Benchmark

By PulseAugur Editorial · [2 sources] ·

Google Research has introduced Gemini-SQL2, a text-to-SQL capability built on Gemini 3.1 Pro. This new system achieved an execution accuracy of 80.04% on the BIRD single-model leaderboard, surpassing previous benchmarks. Gemini-SQL2 translates natural language into executable SQL queries, aiming to improve data analysis and engineering tasks. AI

IMPACT Enhances data analysis capabilities by improving the accuracy of translating natural language to SQL queries.

RANK_REASON The release of a new benchmark score for a text-to-SQL capability.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google's Gemini-SQL2 Achieves 80% Accuracy on Text-to-SQL Benchmark

COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

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

    <p>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 Googl…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google has released Gemini-SQL2, a text-to-SQL capability powered by Gemini 3.1 Pro that scores 80.04% execution accuracy on the BIRD single-model leaderboard.

    Google has released Gemini-SQL2, a text-to-SQL capability powered by Gemini 3.1 Pro that scores 80.04% execution accuracy on the BIRD single-model leaderboard. The system translates natural language questions into execution-ready SQL queries, surpassing prior top entries and narr…

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