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reasoning benchmark

Arc Leaderboard

Arc is a grid-based reasoning benchmark with 800 tasks that require solving abstract patterns and transformations.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • Highlights
  • Top models
  • About
  • FAQ

Arc Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 2.5 Flash-LiteGoogleScore2.50%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

Arc Highlights

The leading models and scores on this benchmark.

Rank #1Gemini 2.5 Flash-Lite2.50%

The Top AI Models for Arc

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis 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.

  1. 01
    GO
    Google
    Score
    2.50%
    Price
    $0.10 input / $0.40 output per 1M tokens
    Speed
    Up to 5.69 tok/s via Google

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Arc, not total model capability

Selection summary

Best AI Models for Arc

Gemini 2.5 Flash-Lite currently leads Arc with 2.50%. 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.

What is Arc?

What Arc measures and how its scores work.

The Abstraction and Reasoning Corpus (ARC) is a benchmark consisting of 800 tasks, including 400 training tasks and 400 evaluation tasks, in which test-takers produce output grids from input grids.

ARC measures human-like general fluid intelligence through grid-based reasoning tasks involving abstract patterns and transformations, scored by producing exactly correct output grids for all test inputs in a task.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Arc
Modality
multimodal
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 Arc.

Which model scores highest on Arc?

Gemini 2.5 Flash-Lite is currently ranked first with 2.50%.

What are the top three models on Arc?

The current leaders are Gemini 2.5 Flash-Lite (2.50%).

Which Arc model has the lowest official input price?

Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among Arc results?

The fastest matched records are Gemini 2.5 Flash-Lite (5.69 tok/s via Google).

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.

What does Arc measure?

ARC measures human-like general fluid intelligence through grid-based reasoning tasks involving abstract patterns and transformations, scored by producing exactly correct output grids for all test inputs in a task.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Gemini 2.5 Flash-Lite
Benchmark rank #1Gemini 2.5 Flash-Lite2.50% · $0.10 input / $0.40 output per 1M tokens