reasoning benchmark
ARC-E
ARC-E (AI2 Reasoning Challenge - Easy Set) is a subset of grade-school level, multiple-choice science questions that requires knowledge and reasoning capabilities. Part of the AI2 Reasoning Challenge dataset containing 5,197 questions that test scientific reasoning and factual knowledge. The Easy Set contains questions that are answerable by retrieval-based and word co-occurrence algorithms, making them more accessible than the Challenge Set.
Updated Aug 11, 2026
Models8
Model coverage8
MetricScore
EvidenceB
ARC-E Ranking
Higher score ranks better on this benchmark.
| 01 | GO | 88.6% | 100.0% | 8 | C | |
| 02 | GO | 88.0% | 85.7% | 8 | C | |
| 03 | NR | 83.0% | 71.4% | 8 | C | |
| 04 | GO | 81.6% | 57.1% | 8 | C | |
| 05 | GO | 81.6% | 42.9% | 8 | C | |
| 06 | GO | 75.8% | 28.6% | 8 | C | |
| 07 | GO | 75.8% | 14.3% | 8 | C | |
| 08 | BA | 60.7% | 0.0% | 8 | C |
ARC-E Score Distribution
A closer view of the leading scores on this benchmark.
ARC-E Highlights
The leading models and scores on this benchmark.
What is ARC-E?
What ARC-E measures and how its scores work.
ARC-E (AI2 Reasoning Challenge - Easy Set) is a subset of grade-school level, multiple-choice science questions that requires knowledge and reasoning capabilities. Part of the AI2 Reasoning Challenge dataset containing 5,197 questions that test scientific reasoning and factual knowledge. The Easy Set contains questions that are answerable by retrieval-based and word co-occurrence algorithms, making them more accessible than the Challenge Set.
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
- Yes
- Evaluation key
- arc-e|llm-stats-current
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 88.6%.
What does ARC-E measure?
ARC-E (AI2 Reasoning Challenge - Easy Set) is a subset of grade-school level, multiple-choice science questions that requires knowledge and reasoning capabilities. Part of the AI2 Reasoning Challenge dataset containing 5,197 questions that test scientific reasoning and factual knowledge. The Easy Set contains questions that are answerable by retrieval-based and word co-occurrence algorithms, making them more accessible than the Challenge Set.
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.