reasoning benchmark
ARC-E Leaderboard
ARC-E is the Easy Set subset of the AI2 Reasoning Challenge, consisting of grade-school-level multiple-choice science questions.
Updated Sep 5, 2026
Models8
Model coverage8
MetricScore
EvidenceB
ARC-E Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score88.60% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score88.00% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelNR | Score82.95% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score81.60% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score81.60% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score75.80% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score75.80% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelBA | Score60.70% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
ARC-E Highlights
The leading models and scores on this benchmark.
ARC-E Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for ARC-E
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is ARC-E?
What ARC-E measures and how its scores work.
ARC-E is a subset of the AI2 Reasoning Challenge dataset containing questions that are more accessible than those in the Challenge Set.
It measures performance on multiple-choice science questions involving scientific reasoning and factual knowledge, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ARC-E
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ARC-E.
Which model scores highest on ARC-E?
Gemma 2 27B is currently ranked first with 88.60%.
What are the top three models on ARC-E?
The current leaders are Gemma 2 27B (88.60%), Gemma 2 9B (88.00%), and Hermes 3 70B (82.95%).
Which ARC-E model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among ARC-E results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.