Google Research's Gemini-SQL2 tops text-to-SQL benchmarks by a wide margin
Quick Answer
Google Research's Gemini-SQL2, based on Gemini 3.1 Pro, achieves 80.04% accuracy on the BIRD benchmark, outperforming competitors like OpenAI and Anthropic.
Quick Take
Google Research's Gemini-SQL2, based on Gemini 3.1 Pro, achieves 80.04% accuracy on the BIRD benchmark, outperforming competitors like OpenAI and Anthropic. This advancement could enhance natural language processing capabilities across Google's data services.
Key Points
- Gemini-SQL2 converts natural language into executable SQL queries.
- Achieved 80.04% accuracy on the BIRD benchmark.
- Significantly outperforms OpenAI and Anthropic in text-to-SQL tasks.
- Potential to enhance natural language features in Google's data services.
- Developed on the advanced Gemini 3.1 Pro architecture.
Article Excerpt
From source RSS / original summaryGoogle 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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