LakeQA: leaderboard
Metric: End-to-end exact match (%) on the 1,007 LakeQA-full tasks; the agent answers a multi-hop question over a data lake of about 40 million Data.gov and Wikipedia documents with one tool call per round (search, list, download, inspect, query) until it answers or hits the turn limit; exact match against the annotator-verified answer; higher is better. Source: arxiv.org. Saturation forecast: Around April 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 32.87 |
| 2 | GPT-5.2 | 18.37 |
| 3 | DeepSeek R1 | 15.99 |
| 4 | Claude Haiku 4.5 | 11.42 |
| 5 | GPT-5 Mini | 5.16 |
| 6 | Llama 3.3 70B Instruct | 5.06 |
Interactive version: theaggregate.ai/benchmark?slug=lakeqa · How It Works · Data refreshed daily, snapshot 2026-09-29.