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reasoning benchmark

ArcAGI2

ARC-AGI-2 is the second-generation Abstraction and Reasoning Corpus benchmark measuring fluid, general reasoning and abstraction.

Updated Aug 7, 2026

Published models2
Registry coverage2
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ArcAGI2 leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

2 rows
Columns

Show columns

1BYSeed 2.1 ProByteDance62.5%100.0%2CAug 7, 2026
2BYSeed 2.1 TurboByteDance61.3%0.0%2CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

ArcAGI2

ArcAGI2 highlights

The top published results on this benchmark's own scale.

Rank #1Seed 2.1 Pro62.5%Rank #2Seed 2.1 Turbo61.3%

What is ArcAGI2?

Definition and scoring fields from the benchmark registry.

ARC-AGI-2 is the second-generation Abstraction and Reasoning Corpus benchmark measuring fluid, general reasoning and abstraction.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
ArcAGI2
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
arcagi2|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about ArcAGI2.

Which model scores highest on ArcAGI2?

Seed 2.1 Pro is currently ranked first with 62.5%.

What does ArcAGI2 measure?

ARC-AGI-2 is the second-generation Abstraction and Reasoning Corpus benchmark measuring fluid, general reasoning and abstraction.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

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Vendors

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