LiveSQLBench
LiveSQLBench evaluates models on generating correct SQL queries against live PostgreSQL databases. The LiveSQLBench-Base-Full v1 dataset contains 600 questions across 22 PostgreSQL databases, testing real-world database reasoning and query generation.
MiniMax M3 from MiniMax currently leads the LiveSQLBench leaderboard with a score of 0.402 across 1 evaluated AI models.
What LiveSQLBench measures
LiveSQLBench is a text benchmark that evaluates large language models on agents and code tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.4, with the leader reaching 0.4.
Compare leaders on the best AI for agents and best AI for code leaderboards.
MiniMax M3 leads with 40.2%.
Progress Over Time
Interactive timeline showing model performance evolution on LiveSQLBench
LiveSQLBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax M3New MiniMax | — | 1.0M | $0.60 / $2.40 |
FAQ
Common questions about LiveSQLBench.
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