BI-Bench (SQL): leaderboard
Metric: Accuracy (%; 100 end-to-end business-intelligence queries curated from real Power BI dashboards (82 projects, raw source tables needing search, reshaping, joins and analysis); an answer is correct when the output table matches the ground-truth table in shape and cell values up to row and column order, with numeric tolerance; mean over 10 runs; SQL setting: tables loaded into SQLite and the model iterates with a generic code-execution tool only). Source: arxiv.org. Saturation forecast: Around October 2027. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O4 Mini | 48.2 |
| 2 | GPT-5.5 | 46.7 |
| 3 | GPT-5.2 | 46.1 |
| 4 | Mistral Large 3 | 36.2 |
| 5 | Llama 4 Maverick | 27.5 |
| 6 | GPT-4o | 27.1 |
| 7 | DeepSeek V4 Pro | 23.5 |
| 8 | Kimi K2.6 | 20 |
| 9 | GPT-OSS-120B | 5.3 |
| 10 | Qwen 3 8B | 5.2 |
Interactive version: theaggregate.ai/benchmark?slug=bi-bench-sql · How It Works · Data refreshed daily, snapshot 2026-09-26.