Reasoning Benchmark

ARC-e

AI2 Reasoning Challenge (Easy set) - grade-school science questions. 0-shot.

Category

Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

6

What is ARC-e?

ARC-e is a benchmark for general reasoning and comprehension. The official description says: "AI2 Reasoning Challenge (Easy set) - grade-school science questions". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

ARC-e measures general reasoning and comprehension. In detail, it checks:

  • drawing the right conclusion from a passage or scenario
  • commonsense judgement about everyday situations and words
  • counting, comparing and reasoning over several facts at once
  • avoiding shortcuts that memorise answers instead of reasoning

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.

Official methodology note: AI2 Reasoning Challenge (Easy set) - grade-school science questions. 0-shot.

Frequently asked questions

What is the ARC-e benchmark?

ARC-e is a benchmark for general reasoning and comprehension. The official description says: 'AI2 Reasoning Challenge (Easy set) - grade-school science questions'. Below we describe in simple words what benchmarks of this type generally examine.

What does ARC-e test?

ARC-e mainly measures general reasoning and comprehension. Concretely, it checks: drawing the right conclusion from a passage or scenario; commonsense judgement about everyday situations and words; counting, comparing and reasoning over several facts at once.

How is the ARC-e 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 ARC-e data and scores?

The official source is https://arxiv.org/abs/1911.01547. 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/arc-e/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 6 models tested

Reset
# Model Score Date Source Verified
1 Clef-Flash
Cloudflare
99.5%
— Report Verified
2 Clef
Cloudflare
99%
— Report Verified
3 Gemma 3 27B PT
Google DeepMind
89%
27.02.2025 Report Verified
4 Gemma 3 12B PT
Google DeepMind
88.3%
27.02.2025 Report Verified
5 Gemma 3 4B PT
Google DeepMind
82.4%
27.02.2025 Report Verified
6 Gemma 3 1B PT
Google DeepMind
73%
27.02.2025 Report Verified

What now?

You've seen how models score on ARC-e — here's what to do next.