language benchmark
ECLeKTic is a multilingual closed-book question answering benchmark covering 12 languages and using knowledge-seeking questions based on Wikipedia articles that exist only in one language.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score19.00% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score16.70% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score10.30% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score4.60% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score2.50% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score2.50% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score1.90% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score1.40% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What ECLeKTic measures and how its scores work.
ECLeKTic is a language benchmark for evaluating cross-lingual knowledge transfer in large language models.
It measures performance on knowledge-seeking questions across 12 languages using a Score reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about ECLeKTic.
Gemma 3n E4B Instructed is currently ranked first with 19.00%.
The current leaders are Gemma 3n E4B Instructed (19.00%), Gemma 3 27B (16.70%), and Gemma 3 12B (10.30%).
No matched official input price is currently available.
The fastest matched records are Gemma 3 27B (33.00 tok/s via DeepInfra), Gemma 3 12B (33.00 tok/s via DeepInfra), and Gemma 3 4B (33.00 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on knowledge-seeking questions across 12 languages using a Score reported as a ratio.
Yes. Higher values rank better for this benchmark.
8 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis eclektic AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemma 3n E4B Instructed currently leads ECLeKTic with 19.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.