ClaimDB: A Fact Verification Benchmark over Large Structured Data: leaderboard

ClaimDB evaluates language models on fact verification over large structured databases, where claims must be checked against composed records and multiple tables. The input modality is text. Its pinned metric is accuracy, reflecting the share of claims judged correctly in the source-reported leaderboard. Source: BenchmarkList’s attributed result table.

Metric: Accuracy. Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 30 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Mini0.83#193
2Claude Haiku 4.50.81#287
3Gemini 3 Flash0.8#103
4Gemini 2.5 Flash0.79#255
5GPT-5 Nano0.79#439
6GPT-OSS-20B0.74#523
7Claude 3.5 Haiku0.68#571
8Ministral 3 14B0.62#664
9Devstral Small 20.59#491
10Qwen 3 32B0.57#449
11Ministral 3 8B0.53#699
12Qwen 3 14B0.53#542
13QwQ-32B0.5#422
14Claude 3 Haiku0.49#801
15GPT-4o Mini0.45#598

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=claimdb-a-fact-verification-benchmark-over-large-structured-data · How It Works · Data refreshed daily, snapshot 2026-11-05.