Bird-SQL (dev)
BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQLs) is a comprehensive text-to-SQL benchmark containing 12,751 question-SQL pairs across 95 databases (33.4 GB total) spanning 37+ professional domains. It evaluates large language models' ability to convert natural language to executable SQL queries in real-world scenarios with complex database schemas and dirty data.
Gemini 2.0 Flash-Lite from Google currently leads the Bird-SQL (dev) leaderboard with a score of 0.574 across 7 evaluated AI models.
Gemini 2.0 Flash-Lite leads with 57.4%, followed by Gemini 2.0 Flash at 56.9% and Gemma 3 27B at 54.4%.
Progress Over Time
Interactive timeline showing model performance evolution on Bird-SQL (dev)
Bird-SQL (dev) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | — | — | — | ||
| 2 | Google | — | — | — | ||
| 3 | Google | 27B | — | — | ||
| 4 | Google | 12B | — | — | ||
| 5 | 120B | — | — | |||
| 6 | Google | 4B | — | — | ||
| 7 | Google | 1B | — | — |
FAQ
Common questions about Bird-SQL (dev).
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