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

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 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.

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