Google Research has unveiled Gemini-SQL2, a new text-to-SQL capability built on Gemini 3.1 Pro. This system achieves 80.04% execution accuracy on the BIRD benchmark, surpassing previous entries and narrowing the gap to human performance. The technology is designed to translate natural language into executable SQL queries, with potential applications across Google's data services. AI
IMPACT Sets a new SOTA for text-to-SQL translation, potentially improving data analysis tools across Google's services.
RANK_REASON The cluster reports on a new benchmark result for a text-to-SQL capability, which is a specific research advancement.
- AlloyDB AI
- BigQuery Studio
- BIRD Text-to-SQL Leaderboard
- Cloud SQL Studio
- Gemini 3.1 Pro
- Gemini-SQL
- Gemini-SQL2
- Google Research
- X
- Anthropic
- BIRD benchmark
- OpenAI
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