// BENCHMARK

TriviaQA benchmark

AI model leaderboard for the TriviaQA benchmark. Compare how large language models score on TriviaQA, see the full ranking, and understand what this AI benchmark measures. OLMo 2 32B currently leads with 87.3. Closed-book question answering benchmark of trivia questions sourced from quiz websites.

Leaderboard

# Model Organization Score Variant Source
#1 OLMo 2 32B Allen Institute for AI 87.3 base-from-hf-readme official โ†—
#2 GPT-5 OpenAI 86.32 thinking-high-cited-ring-1t official โ†—
#3 gemini-2.5-pro Google DeepMind 84.45 cited-ring-1t official โ†—
#4 DeepSeek-V3.1-Terminus DeepSeek 82.77 thinking-cited-ring-1t official โ†—
#5 Gemma 2 9B Google DeepMind 81.8 base-cited-olmo2 official โ†—
#6 Llama 2-13B Meta AI 81.3 base-cited-olmo2 official โ†—
#7 Llama 3.1-8B Meta AI 80.3 base-cited-olmo2 official โ†—
#8 Qwen3-235B-A22B-Thinking (Jul 2025) Qwen 79.63 thinking-cited-ring-1t official โ†—
#9 Ring-1T Ant Group 78.59 thinking official โ†—
#10 Qwen2.5-7B Qwen 69.4 base-cited-olmo2 official โ†—
#11 DCLM 7B Apple 52.7 from-hf-readme official โ†—

Frequently asked questions about TriviaQA

What is the TriviaQA benchmark?

Closed-book question answering benchmark of trivia questions sourced from quiz websites.

How is the TriviaQA benchmark scored?

TriviaQA is scored using the exact_match metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.

Which AI model scores highest on TriviaQA?

As of the latest reported scores on GenAIList, OLMo 2 32B achieves the highest result on TriviaQA with a score of 87.3.

Is a higher TriviaQA score better?

Yes. On TriviaQA a higher score indicates better performance, so models near the top of the leaderboard are the strongest.