reasoning benchmark
ECLeKTic Leaderboard
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
Updated Aug 17, 2026
Models8
Model coverage8
MetricScore
EvidenceB
ECLeKTic Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score19.0% | Percentile100.0% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score16.7% | Percentile85.7% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score10.3% | Percentile71.4% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score4.6% | Percentile57.1% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score2.5% | Percentile42.9% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score2.5% | Percentile28.6% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score1.9% | Percentile14.3% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score1.4% | Percentile0.0% | Participants8 | EvidenceC | Evaluated |
ECLeKTic Highlights
The leading models and scores on this benchmark.
ECLeKTic Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for ECLeKTic
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis eclektic AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01GOGemma 3n E4B InstructedGoogle
- Score
- 19.0%
- Speed
- Up to 42 tok/s via Together
Strengths
- Ranks #1 of 8 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures ECLeKTic, not total model capability
- 02GOGemma 3 27BGoogle
- Score
- 16.7%
- Speed
- Up to 33 tok/s via DeepInfra
Strengths
- Ranks #2 of 8 compared models
- 86th percentile on this benchmark
- C evidence result
Considerations
- This result measures ECLeKTic, not total model capability
- 03GOGemma 3 12BGoogle
- Score
- 10.3%
- Speed
- Up to 33 tok/s via DeepInfra
Strengths
- Ranks #3 of 8 compared models
- 71th percentile on this benchmark
- C evidence result
Considerations
- This result measures ECLeKTic, not total model capability
- 04GOGemma 3 4BGoogle
- Score
- 4.6%
- Speed
- Up to 33 tok/s via DeepInfra
Strengths
- Ranks #4 of 8 compared models
- 57th percentile on this benchmark
- C evidence result
Considerations
- This result measures ECLeKTic, not total model capability
- 05GOGemma 3n E2B InstructedGoogle
- Score
- 2.5%
Strengths
- Ranks #5 of 8 compared models
- 43th percentile on this benchmark
- C evidence result
Considerations
- This result measures ECLeKTic, not total model capability
Selection summary
Best AI Models for ECLeKTic
Gemma 3n E4B Instructed currently leads ECLeKTic with 19.0%. 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.
What is ECLeKTic?
What ECLeKTic measures and how its scores work.
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
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ECLeKTic
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- eclektic|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ECLeKTic.
Which model scores highest on ECLeKTic?
Gemma 3n E4B Instructed is currently ranked first with 19.0%.
What does ECLeKTic measure?
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
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
8 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.