AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

ARC-AGI

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.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
image

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 8

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
GPT-5.50.95Not recordedNot recorded2026-04-23 · model_announcementLLM Stats
GPT-5.40.937Not recordedNot recorded2026-03-05 · model_announcementLLM Stats
GPT-5.2 Pro0.905Not recordedNot recorded2025-12-11 · model_announcementLLM Stats
o30.88Not recordedNot recorded2025-04-16 · model_announcementLLM Stats
GPT-5.20.862Not recordedNot recorded2025-12-11 · model_announcementLLM Stats
Inkling-Small0.84Not recordedNot recorded2026-07-30 · model_announcementLLM Stats
LongCat-Flash-Thinking0.503Not recordedNot recorded2025-09-22 · model_announcementLLM Stats
Qwen3-235B-A22B-Instruct-25070.418Not recordedNot recorded2025-07-22 · model_announcementLLM Stats