reasoning benchmark
Bird-SQL (dev) Leaderboard
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.
Updated Aug 17, 2026
Models7
Model coverage7
MetricScore
EvidenceB
Bird-SQL (dev) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score57.4% | Percentile100.0% | Participants7 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score56.9% | Percentile83.3% | Participants7 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score54.4% | Percentile66.7% | Participants7 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score47.9% | Percentile50.0% | Participants7 | EvidenceC | Evaluated |
| Rank05 | ModelNV | Score41.8% | Percentile33.3% | Participants7 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score36.3% | Percentile16.7% | Participants7 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score6.4% | Percentile0.0% | Participants7 | EvidenceC | Evaluated |
Bird-SQL (dev) Highlights
The leading models and scores on this benchmark.
Bird-SQL (dev) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Bird-SQL (dev)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis bird-sql (dev) AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01GOGemini 2.0 Flash-LiteGoogle
- Score
- 57.4%
- Speed
- Up to 85 tok/s via Google
Strengths
- Ranks #1 of 7 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Bird-SQL (dev), not total model capability
- 02GOGemini 2.0 FlashGoogle
- Score
- 56.9%
- Speed
- Up to 183 tok/s via Google
Strengths
- Ranks #2 of 7 compared models
- 83th percentile on this benchmark
- C evidence result
Considerations
- This result measures Bird-SQL (dev), not total model capability
- 03GOGemma 3 27BGoogle
- Score
- 54.4%
- Speed
- Up to 33 tok/s via DeepInfra
Strengths
- Ranks #3 of 7 compared models
- 67th percentile on this benchmark
- C evidence result
Considerations
- This result measures Bird-SQL (dev), not total model capability
- 04GOGemma 3 12BGoogle
- Score
- 47.9%
- Speed
- Up to 33 tok/s via DeepInfra
Strengths
- Ranks #4 of 7 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures Bird-SQL (dev), not total model capability
- 05NV
- Score
- 41.8%
- Price
- $0.20 input / $0.80 output per 1M tokens
Strengths
- Ranks #5 of 7 compared models
- 33th percentile on this benchmark
- C evidence result
Considerations
- This result measures Bird-SQL (dev), not total model capability
Selection summary
Best AI Models for Bird-SQL (dev)
Gemini 2.0 Flash-Lite currently leads Bird-SQL (dev) with 57.4%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is Bird-SQL (dev)?
What Bird-SQL (dev) measures and how its scores work.
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.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Bird-SQL (dev)
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- bird-sql-(dev)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Bird-SQL (dev).
Which model scores highest on Bird-SQL (dev)?
Gemini 2.0 Flash-Lite is currently ranked first with 57.4%.
What does Bird-SQL (dev) measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
7 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.