reasoning benchmark
AI2 Reasoning Challenge (ARC) Leaderboard
AI2 Reasoning Challenge (ARC) is a dataset of 7,787 grade-school-level multiple-choice science questions covering biology, physics, earth science, and chemistry, divided into Challenge Set and Easy Set.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
AI2 Reasoning Challenge (ARC) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score96.30% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
AI2 Reasoning Challenge (ARC) Highlights
The leading models and scores on this benchmark.
The Top AI Models for AI2 Reasoning Challenge (ARC)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis ai2 reasoning challenge (arc) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPOpenAI
- Score
- 96.30%
- Price
- $30 input / $60 output per 1M tokens
- Speed
- Up to 104.00 tok/s via Azure
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures AI2 Reasoning Challenge (ARC), not total model capability
Selection summary
Best AI Models for AI2 Reasoning Challenge (ARC)
GPT-4 currently leads AI2 Reasoning Challenge (ARC) with 96.30%. 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 AI2 Reasoning Challenge (ARC)?
What AI2 Reasoning Challenge (ARC) measures and how its scores work.
AI2 Reasoning Challenge (ARC) is a reasoning benchmark dataset of multiple-choice science questions, with a supporting corpus of over 14 million science sentences.
It reports a Score metric in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AI2 Reasoning Challenge (ARC)
- 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 AI2 Reasoning Challenge (ARC).
Which model scores highest on AI2 Reasoning Challenge (ARC)?
GPT-4 is currently ranked first with 96.30%.
What are the top three models on AI2 Reasoning Challenge (ARC)?
The current leaders are GPT-4 (96.30%).
Which AI2 Reasoning Challenge (ARC) model has the lowest official input price?
GPT-4 has the lowest matched official input price at $30 input / $60 output per 1M tokens.
Which models are fastest among AI2 Reasoning Challenge (ARC) results?
The fastest matched records are GPT-4 (104.00 tok/s via Azure).
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.