ECLeKTic

A multilingual closed-book question answering dataset that evaluates cross-lingual knowledge transfer in large language models across 12 languages, using knowledge-seeking questions based on Wikipedia articles that exist only in one language

Gemma 3n E4B Instructed from Google currently leads the ECLeKTic leaderboard with a score of 0.190 across 8 evaluated AI models.

Paper

GoogleGemma 3n E4B Instructed leads with 19.0%, followed by GoogleGemma 3 27B at 16.7% and GoogleGemma 3 12B at 10.3%.

Progress Over Time

Interactive timeline showing model performance evolution on ECLeKTic

State-of-the-art frontier
Open
Proprietary

ECLeKTic Leaderboard

8 models
ContextCostLicense
18B32K$20.00 / $40.00
227B131K$0.10 / $0.20
312B131K$0.05 / $0.10
44B131K$0.02 / $0.04
58B
52B
72B
81B
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FAQ

Common questions about ECLeKTic.

What is the ECLeKTic benchmark?

A multilingual closed-book question answering dataset that evaluates cross-lingual knowledge transfer in large language models across 12 languages, using knowledge-seeking questions based on Wikipedia articles that exist only in one language

What is the ECLeKTic leaderboard?

The ECLeKTic leaderboard ranks 8 AI models based on their performance on this benchmark. Currently, Gemma 3n E4B Instructed by Google leads with a score of 0.190. The average score across all models is 0.074.

What is the highest ECLeKTic score?

The highest ECLeKTic score is 0.190, achieved by Gemma 3n E4B Instructed from Google.

How many models are evaluated on ECLeKTic?

8 models have been evaluated on the ECLeKTic benchmark, with 0 verified results and 8 self-reported results.

Where can I find the ECLeKTic paper?

The ECLeKTic paper is available at https://arxiv.org/abs/2502.21228. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does ECLeKTic cover?

ECLeKTic is categorized under language and reasoning. The benchmark evaluates text models with multilingual support.

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