Google releases Gemini-SQL2, breakthrough text-to-SQL capability model

Reddit r/singularity Models
text-to-sql gemini sql google natural-language-processing benchmark bird-benchmark

Summary

Google releases Gemini-SQL2, a text-to-SQL model powered by Gemini 3.1 Pro, achieving state-of-the-art results on the BIRD benchmark for translating natural language into accurate SQL queries.

Gemini-SQL2, breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! state-of-the-art **SOTA** results on the highly competitive **BIRD** benchmark, translating natural language into execution-ready SQL queries. Data subtlety & complex business contexts make generating **accurate** SQL from natural language notoriously hard. Per the BIRD benchmark, which measures execution-verified accuracy, GeminiSQL-2’s SQL doesn't just look right, it also runs successfully. Improved SQL understanding can elevate natural language skills across Google’s data services. **Source:** [Google Research](https://x.com/i/status/2065475343205740911)
Original Article

Similar Articles

Gemini 2.5: Our most intelligent models are getting even better

Google DeepMind Blog

Google announces Gemini 2.5 series updates, including improved 2.5 Pro and Flash models with new capabilities like Deep Think (enhanced reasoning mode), native audio output, and computer use abilities via Project Mariner. The models now lead on WebDev Arena and LMArena leaderboards.

Gemini 2.0 is now available to everyone

Google DeepMind Blog

Google announces general availability of Gemini 2.0 Flash via API, introduces experimental Gemini 2.0 Pro for advanced coding and reasoning tasks, and releases Gemini 2.0 Flash-Lite as a cost-efficient option. All models support multimodal input with text output and are available through Google AI Studio, Vertex AI, and the Gemini app.

Gemini 2.5: Our most intelligent AI model

Google DeepMind Blog

Google announced Gemini 2.5, its most intelligent AI model, with Gemini 2.5 Pro Experimental leading LMArena benchmarks by significant margins and demonstrating enhanced reasoning and coding capabilities through improved thinking model architecture.

Introducing the Gemini 2.5 Computer Use model

Google DeepMind Blog

Google releases Gemini 2.5 Computer Use model via the Gemini API, enabling developers to build AI agents that can interact with user interfaces through clicking, typing, and scrolling. The model outperforms alternatives on web and mobile control benchmarks with lower latency and is available in preview on Google AI Studio and Vertex AI.