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agents benchmark

LiveSQLBench Leaderboard

LiveSQLBench evaluates models on generating correct SQL queries against live PostgreSQL databases using 600 questions across 22 PostgreSQL databases in the LiveSQLBench-Base-Full v1 dataset.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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LiveSQLBench Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIMiniMax M3MiniMaxScore40.17%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

LiveSQLBench Highlights

The leading models and scores on this benchmark.

Rank #1MiniMax M340.17%

The Top AI Models for LiveSQLBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis livesqlbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    MiniMax
    Score
    40.17%
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 6.61 tok/s via MiniMax

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveSQLBench, not total model capability

Selection summary

Best AI Models for LiveSQLBench

MiniMax M3 currently leads LiveSQLBench with 40.17%. 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 LiveSQLBench?

What LiveSQLBench measures and how its scores work.

LiveSQLBench is a benchmark for evaluating models on SQL query generation against live PostgreSQL databases.

It measures the correctness of generated SQL queries and reports performance as Score in ratio units.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
LiveSQLBench
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about LiveSQLBench.

Which model scores highest on LiveSQLBench?

MiniMax M3 is currently ranked first with 40.17%.

What are the top three models on LiveSQLBench?

The current leaders are MiniMax M3 (40.17%).

Which LiveSQLBench model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among LiveSQLBench results?

The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does LiveSQLBench measure?

It measures the correctness of generated SQL queries and reports performance as Score in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

MiniMax M3
Benchmark rank #1MiniMax M340.17% · $0.30 input / $1.2 output per 1M tokens