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

Google Research's Gemini-SQL2, built on Gemini 3.1 Pro, achieved 80.04 percent accuracy on the BIRD text-to-SQL benchmark, surpassing OpenAI and Anthropic. The technology aims to enhance natural language features across Google's data services.

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 https://the-decoder.com/google-researchs-gemini-sql2-tops-text-to-sql-benchmarks-by-a-wide-margin/ appeared first on The Decoder https://the-decoder.com .