Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard
Quick Answer
Google Research has launched Gemini-SQL2, leveraging Gemini 3.1 Pro, which achieved an 80.04% execution accuracy on the BIRD single-model leaderboard.
Quick Take
Google Research has launched Gemini-SQL2, leveraging Gemini 3.1 Pro, which achieved an 80.04% execution accuracy on the BIRD single-model leaderboard. This marks a significant advancement in text-to-SQL capabilities, with implications for various applications yet to be fully disclosed.
Key Points
- Gemini-SQL2 was announced on June 12, 2026, by Google Research.
- The model achieved an 80.04% accuracy on the BIRD leaderboard.
- Gemini 3.1 Pro powers the new text-to-SQL capability.
- Use cases and implementation patterns are discussed but not fully disclosed.
- The leaderboard ranks models based on their execution accuracy.
Article Excerpt
From source RSS / original summaryWe 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. The post Google Releases Gemini-SQL2: Gemini 3. 1 Pro Text-to-SQL Scores 80. 04% on BIRD Single-Model Leaderboard appeared first on MarkTechPost.
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