reasoning benchmark
ARC-AGI is a benchmark for general intelligence and abstract reasoning using visual grid-based transformation tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score98.50% | Percentile100.00% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score95.00% | Percentile87.50% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score93.70% | Percentile75.00% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score90.50% | Percentile62.50% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score88.00% | Percentile50.00% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score86.20% | Percentile37.50% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelTM | Score84.00% | Percentile25.00% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelME | Score50.30% | Percentile12.50% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score41.80% | Percentile0.00% | Participants9 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What ARC-AGI measures and how its scores work.
The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) consists of visual grid-based tasks with 2-5 demonstration pairs and novel test inputs that require rules to be inferred and applied.
It measures general intelligence, abstract reasoning, human-like general fluid intelligence, and skill-acquisition efficiency with minimal prior knowledge, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about ARC-AGI.
GPT-6 Astra is currently ranked first with 98.50%.
The current leaders are GPT-6 Astra (98.50%), GPT-5.5 (95.00%), and GPT-5.4 (93.70%).
Qwen3-235B-A22B-Instruct-2507 has the lowest matched official input price at $0.70 input / $2.8 output per 1M tokens.
The fastest matched records are GPT-5.5 (134.94 tok/s via OpenAI), GPT-5.2 (100.00 tok/s via OpenAI), and GPT-5.4 (50.00 tok/s via OpenAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures general intelligence, abstract reasoning, human-like general fluid intelligence, and skill-acquisition efficiency with minimal prior knowledge, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
9 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis arc-agi AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
GPT-6 Astra currently leads ARC-AGI with 98.50%. 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.