ECLeKTic
ECLeKTic - multilingual knowledge translation benchmark.
Category
Multilingual
Score type
percent
Scale
100%
higher is better
Models tested
4
What is ECLeKTic?
ECLeKTIC is a multilingual knowledge benchmark: the same obscure knowledge items are asked in twelve languages. The result shows how unequally knowledge is distributed within a model across languages — the gap between best and worst language is telling.
What does it test?
ECLeKTic measures performance in languages other than english. In detail, it checks:
- closed-book knowledge in twelve different languages
- equality of knowledge across languages
- cultural and linguistic long-tail knowledge
- no silent fallback to English
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.
Frequently asked questions
What is the ECLeKTic benchmark?
ECLeKTIC is a multilingual knowledge benchmark: the same obscure knowledge items are asked in twelve languages. The result shows how unequally knowledge is distributed within a model across languages — the gap between best and worst language is telling.
What does ECLeKTic test?
ECLeKTic mainly measures performance in languages other than English. Concretely, it checks: closed-book knowledge in twelve different languages; equality of knowledge across languages; cultural and linguistic long-tail knowledge.
How is the ECLeKTic 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 ECLeKTic data and scores?
The official source is https://arxiv.org/abs/2502.21228. 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/eclektic/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 4 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Gemma 3 27B PT
Google DeepMind
|
24.4%
|
27.02.2025 | Report | Verified |
| 2 |
Gemma 3 12B PT
Google DeepMind
|
17.2%
|
27.02.2025 | Report | Verified |
| 3 |
Gemma 3 4B PT
Google DeepMind
|
11%
|
27.02.2025 | Report | Verified |
| 4 |
Gemma 3 1B PT
Google DeepMind
|
4.69%
|
27.02.2025 | Report | Verified |