Benchmarks / Reasoning

ARC-AGI-3

ARC-AGI-3 semi-private set: interactive game-like environments where the agent must learn rules on the fly; percent of possible score.

22models
–Open Index weight
–last updated
ARC Prizepublisher

ARC-AGI-3

Higher is better · best effort per model

Chart settings
22 of 22 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astrahigh99.9%–Provider Adapter
2Gemini 4low97.5%–Provider Adapter
3GPT-6.1 Solxhigh96.4%–Provider Adapter
4Gemini 3.8 Flashhigh35.0%–Provider Adapter
5Opus 5high30.2%––
6GPT-6 Solmax23.0%–Provider Adapter
7Grok 4.7high10.0%–Provider Adapter
8GPT-5.6 Solmax7.8%––
9DeepSeek V4.1 Flashlow3.3%–Provider Adapter
10Haiku 5.5max2.8%–Provider Adapter
11Grok 4.6xhigh2.1%––
12Opus 4.8high1.5%––
13GPT-5.6 Terramax0.8%––
14GPT-6 Lunamax0.6%–Provider Adapter
15Opus 4.6max0.5%––
16GPT-5.5high0.4%––
17Gemini 3.1 Prohigh0.4%––
18Grok 4.5medium0.3%––
19GPT-5.4high0.2%––
20Opus 4.7high0.2%––
21GPT-5.6 Lunamax0.2%––
22Grok 4.20xhigh0.1%––