Feyn AI's SQRL text-to-SQL models probe databases before querying

Feyn Labs released SQRL, a family of text-to-SQL models that run read-only probes against a database before writing a query. The flagship SQRL-35B-A3B scored 70.6% execution accuracy on the BIRD Dev benchmark, edging out Claude Opus 4.6, and distills down into self-hostable 4B and 9B checkpoints.

Why it matters: Most text-to-SQL systems infer schema quirks purely from training data, which breaks on messy real-world databases; inspecting the actual database first is a more robust approach likely to generalize better than benchmark scores alone suggest. That a specialized, self-hostable model can edge out a frontier general-purpose model on this task reinforces a broader pattern: narrow distilled models are catching up to big LLMs on well-defined enterprise tasks.