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
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.
Source Excerpt
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.
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