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Abstract Visual Reasoning on ARC-AGI 2

100Accuracy (Pass@2)best.human
-3.9906423.0069350.004577.00207Feb 2, 2026Feb 18, 2026Mar 7, 2026Mar 24, 2026Apr 9, 2026Apr 26, 2026May 13, 2026

Evaluation results

MethodLinks
best.human2026.02100—
AEVO ProcedureCategory=Ours, Model=Gemini-3-Flash2026.054712
ADASCategory=Procedure-Based Evolution, Model=Gemini-3-Flash2026.05363
AFlowCategory=Procedure-Based Evolution, Model=Gemini-3-Flash2026.0531.814
DGMCategory=Procedure-Based Evolution, Model=Gemini-3-Flash2026.0529.85
Bespoke (Grok-4)#Params=1.7T2026.0229.4—
SPOCategory=Procedure-Based Evolution, Model=Gemini-3-Flash2026.05256
GEPACategory=Procedure-Based Evolution, Model=Gemini-3-Flash2026.0522.513
ReAct (Pass@1)Category=Single-Agent Inference, Model=Gemini-3-Flash2026.0521.8—
Grok-4-thinking#Params=1.7T2026.0216—
Loop-ViT (Large)#Params=18M2026.0214.2—
Loop-ViT (Medium)#Params=11.2M2026.0211.5—
VARC (ensemble)#Params=73M2026.0211.1—
Loop-ViT (Small)#Params=3.8M2026.0210—
VARC#Params=18M2026.028.3—
TRM#Params=7M2026.027.8—
HRM#Params=27M2026.025—
o3-mini-high2026.023—
GPT-52026.021.9—
Deepseek R1#Params=671B2026.021.3—
Claude 3.7 8k2026.020.9—
Bespoke (Grok-4)#params=1.7T, type=large language models (LLMs)2026.040.294—
Grok-4-thinking#params=1.7T, type=large language models (LLMs)2026.040.16—
Enc-Dec ViT+KoPE*#params=37M, continual pretraining on ARC-AGI-2 training tasks=true2026.040.102—
Enc-Dec ViT+KoPE#params=37M2026.040.098—
ViT#params=18M, type=vision models (VARC)2026.040.083—
TRM#params=7M, type=recurrent models2026.040.078—
Enc-Dec ViT#params=36M2026.040.073—
HRM#params=27M, type=recurrent models2026.040.05—
o3-mini-high#params=N/A, type=large language models (LLMs)2026.040.03—
GPT-5#params=N/A, type=large language models (LLMs)2026.040.019—
Deepseek R1#params=671B, type=large language models (LLMs)2026.040.013—
Claude 3.7 8k#params=N/A, type=large language models (LLMs)2026.040.009—