CulturaQA: leaderboard
Large Language Models (LLMs) have substantially advanced the field of Natural Language Processing (NLP), achieving state-of-the-art performance across a wide range of tasks. These improvements have been attributed, in part, to their emerging reasoning capabilities, which are enabled by large-scale training and increased model capacity. However, existing LLMs can generate erroneous responses when a
Metric: CulturaQA (self-reported). Source: benchmarklist.com. Saturation forecast: Around January 2027. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 Mini | 75.09 | #186 |
| 2 | Gemini 3 Flash | 73.97 | #99 |
| 3 | Ministral 3 8B | 71.03 | #687 |
| 4 | Gemma 3n E4B | 69.1 | #878 |
| 5 | Qwen 3 8B | 68.73 | #674 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=culturaqa · How It Works · Data refreshed daily, snapshot 2026-10-20.