ARC-c
AI2 Reasoning Challenge (Challenge set) - grade-school science questions. 25-shot.
Category
Reasoning
Score type
percent
Scale
100%
higher is better
Models tested
6
What is ARC-c?
ARC-c is a benchmark for general reasoning and comprehension. The official description says: "AI2 Reasoning Challenge (Challenge set) - grade-school science questions". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
ARC-c 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 (Challenge set) - grade-school science questions. 25-shot.
Frequently asked questions
What is the ARC-c benchmark?
ARC-c is a benchmark for general reasoning and comprehension. The official description says: 'AI2 Reasoning Challenge (Challenge set) - grade-school science questions'. Below we describe in simple words what benchmarks of this type generally examine.
What does ARC-c test?
ARC-c 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-c 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-c 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-c/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 6 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Clef-Flash
Cloudflare
|
98.3%
|
— | Report | Verified |
| 2 |
Clef
Cloudflare
|
97.7%
|
— | Report | Verified |
| 3 |
Gemma 3 27B PT
Google DeepMind
|
70.6%
|
27.02.2025 | Report | Verified |
| 4 |
Gemma 3 12B PT
Google DeepMind
|
68.9%
|
27.02.2025 | Report | Verified |
| 5 |
Gemma 3 4B PT
Google DeepMind
|
56.2%
|
27.02.2025 | Report | Verified |
| 6 |
Gemma 3 1B PT
Google DeepMind
|
38.4%
|
27.02.2025 | Report | Verified |