reasoning benchmark
Arc is a grid-based reasoning benchmark with 800 tasks that require solving abstract patterns and transformations.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score2.50% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and 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.
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.
Selection summary
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 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.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Arc.
Gemini 2.5 Flash-Lite is currently ranked first with 2.50%.
The current leaders are Gemini 2.5 Flash-Lite (2.50%).
Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are Gemini 2.5 Flash-Lite (5.69 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
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.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.