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

Summary

Google Research's Gemini-SQL2 turns natural language into executable SQL queries. Built on Gemini 3.1 Pro, it tops the BIRD benchmark at 80.04 percent accuracy, well ahead of OpenAI and Anthropic. Google says the technology could improve natural language features across its data services.

SourceThe DecoderAuthor: Matthias Bastian
Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin
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Google Research's Gemini-SQL2 turns natural language into executable SQL queries. Built on Gemini 3.1 Pro, it tops the BIRD benchmark at 80.04 percent accuracy, well ahead of OpenAI and Anthropic. Google says the technology could improve natural language features across its data services.

The article Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin appeared first on The Decoder.

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Key points

  • Gemini-SQL2 translates natural language into SQL queries using Gemini 3.1 Pro.
  • Achieves 80.04% accuracy on the BIRD benchmark, surpassing OpenAI and Anthropic.
  • Google aims to enhance natural language capabilities in its data services.

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