Knowledge Benchmark

TriviaQA

TriviaQA - reading comprehension with trivia questions. 5-shot.

Category

Knowledge

Score type

percent

Scale

100%

higher is better

Models tested

4

What is TriviaQA?

TriviaQA is a benchmark for broad factual and academic knowledge. The official description says: "TriviaQA - reading comprehension with trivia questions". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

TriviaQA measures broad factual and academic knowledge. In detail, it checks:

  • facts and concepts from many academic fields at once
  • harder variants with several plausible answer options
  • knowledge that goes beyond the model's training-set surface forms
  • resisting the plausible-but-wrong answers deliberately included

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: TriviaQA - reading comprehension with trivia questions. 5-shot.

Frequently asked questions

What is the TriviaQA benchmark?

TriviaQA is a benchmark for broad factual and academic knowledge. The official description says: 'TriviaQA - reading comprehension with trivia questions'. Below we describe in simple words what benchmarks of this type generally examine.

What does TriviaQA test?

TriviaQA mainly measures broad factual and academic knowledge. Concretely, it checks: facts and concepts from many academic fields at once; harder variants with several plausible answer options; knowledge that goes beyond the model's training-set surface forms.

How is the TriviaQA score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get TriviaQA data and scores?

The official source is https://arxiv.org/abs/1705.03551. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/triviaqa/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 4 models tested

Reset
# Model Score Date Source Verified
1 Gemma 3 27B PT
Google DeepMind
85.5%
27.02.2025 Report Verified
2 Gemma 3 12B PT
Google DeepMind
78.2%
27.02.2025 Report Verified
3 Gemma 3 4B PT
Google DeepMind
65.8%
27.02.2025 Report Verified
4 Gemma 3 1B PT
Google DeepMind
39.8%
27.02.2025 Report Verified

What now?

You've seen how models score on TriviaQA — here's what to do next.