reasoning benchmark
ARC-AGI Leaderboard
The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) is a benchmark designed to test general intelligence and abstract reasoning capabilities through visual grid-based transformation tasks. Each task consists of 2-5 demonstration pairs showing input grids transformed into output grids according to underlying rules, with test-takers required to infer these rules and apply them to novel test inputs. The benchmark uses colored grids (up to 30x30) with 10 discrete colors/symbols, designed to measure human-like general fluid intelligence and skill-acquisition efficiency with minimal prior knowledge.
Updated Aug 17, 2026
Models8
Model coverage8
MetricScore
EvidenceB
ARC-AGI Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score95.0% | Percentile100.0% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score93.7% | Percentile85.7% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score90.5% | Percentile71.4% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score88.0% | Percentile57.1% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score86.2% | Percentile42.9% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelTM | Score84.0% | Percentile28.6% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelME | Score50.3% | Percentile14.3% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score41.8% | Percentile0.0% | Participants8 | EvidenceC | Evaluated |
ARC-AGI Highlights
The leading models and scores on this benchmark.
ARC-AGI Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for ARC-AGI
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis arc-agi AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01OPGPT-5.5OpenAI
- Score
- 95.0%
- Price
- $5.0 input / $30 output per 1M tokens
Strengths
- Ranks #1 of 8 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures ARC-AGI, not total model capability
- 02OPGPT-5.4OpenAI
- Score
- 93.7%
- Price
- $2.5 input / $15 output per 1M tokens
- Speed
- Up to 9.1 tok/s via OpenAI
Strengths
- Ranks #2 of 8 compared models
- 86th percentile on this benchmark
- C evidence result
Considerations
- This result measures ARC-AGI, not total model capability
- 03OPGPT-5.2 ProOpenAI
- Score
- 90.5%
- Price
- $21 input / $168 output per 1M tokens
- Speed
- Up to 25 tok/s via OpenAI
Strengths
- Ranks #3 of 8 compared models
- 71th percentile on this benchmark
- C evidence result
Considerations
- This result measures ARC-AGI, not total model capability
- 04OPo3OpenAI
- Score
- 88.0%
- Price
- $2.0 input / $8.0 output per 1M tokens
- Speed
- Up to 50 tok/s via OpenAI
Strengths
- Ranks #4 of 8 compared models
- 57th percentile on this benchmark
- C evidence result
Considerations
- This result measures ARC-AGI, not total model capability
- 05OPGPT-5.2OpenAI
- Score
- 86.2%
- Price
- $1.8 input / $14 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #5 of 8 compared models
- 43th percentile on this benchmark
- C evidence result
Considerations
- This result measures ARC-AGI, not total model capability
Selection summary
Best AI Models for ARC-AGI
GPT-5.5 currently leads ARC-AGI with 95.0%. 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 ARC-AGI?
What ARC-AGI measures and how its scores work.
The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) is a benchmark designed to test general intelligence and abstract reasoning capabilities through visual grid-based transformation tasks. Each task consists of 2-5 demonstration pairs showing input grids transformed into output grids according to underlying rules, with test-takers required to infer these rules and apply them to novel test inputs. The benchmark uses colored grids (up to 30x30) with 10 discrete colors/symbols, designed to measure human-like general fluid intelligence and skill-acquisition efficiency with minimal prior knowledge.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ARC-AGI
- Modality
- image
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- arc-agi|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ARC-AGI.
Which model scores highest on ARC-AGI?
GPT-5.5 is currently ranked first with 95.0%.
What does ARC-AGI measure?
The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) is a benchmark designed to test general intelligence and abstract reasoning capabilities through visual grid-based transformation tasks. Each task consists of 2-5 demonstration pairs showing input grids transformed into output grids according to underlying rules, with test-takers required to infer these rules and apply them to novel test inputs. The benchmark uses colored grids (up to 30x30) with 10 discrete colors/symbols, designed to measure human-like general fluid intelligence and skill-acquisition efficiency with minimal prior knowledge.
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.