reasoning benchmark
TriviaQA
A large-scale reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents (six per question on average) that provide high quality distant supervision for answering the questions. The dataset features relatively complex, compositional questions with considerable syntactic and lexical variability, requiring cross-sentence reasoning to find answers.
Updated Aug 11, 2026
Models18
Model coverage18
MetricScore
EvidenceB
TriviaQA Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 85.1% | 100.0% | 18 | C | |
| 02 | GO | 83.7% | 94.1% | 18 | C | |
| 03 | XI | 81.3% | 88.2% | 18 | C | |
| 04 | MA | 80.5% | 82.3% | 18 | C | |
| 05 | MA | 80.5% | 76.5% | 18 | C | |
| 06 | MA | 80.3% | 70.6% | 18 | C | |
| 07 | IB | 78.2% | 64.7% | 18 | C | |
| 08 | GO | 76.6% | 58.8% | 18 | C | |
| 09 | MA | 74.9% | 52.9% | 18 | C | |
| 10 | MA | 74.9% | 47.1% | 18 | C | |
| 11 | MA | 73.8% | 41.2% | 18 | C | |
| 12 | GO | 70.2% | 35.3% | 18 | C | |
| 13 | GO | 70.2% | 29.4% | 18 | C | |
| 14 | MA | 68.1% | 23.5% | 18 | C | |
| 15 | MA | 65.5% | 17.6% | 18 | C | |
| 16 | GO | 60.8% | 11.8% | 18 | C | |
| 17 | GO | 60.8% | 5.9% | 18 | C | |
| 18 | MA | 59.2% | 0.0% | 18 | C |
TriviaQA Score Distribution
A closer view of the leading scores on this benchmark.
TriviaQA Highlights
The leading models and scores on this benchmark.
What is TriviaQA?
What TriviaQA measures and how its scores work.
A large-scale reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents (six per question on average) that provide high quality distant supervision for answering the questions. The dataset features relatively complex, compositional questions with considerable syntactic and lexical variability, requiring cross-sentence reasoning to find answers.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- TriviaQA
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- triviaqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TriviaQA.
Which model scores highest on TriviaQA?
Kimi K2 Base is currently ranked first with 85.1%.
What does TriviaQA measure?
A large-scale reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents (six per question on average) that provide high quality distant supervision for answering the questions. The dataset features relatively complex, compositional questions with considerable syntactic and lexical variability, requiring cross-sentence reasoning to find answers.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
18 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.