ARC-AGI-2
Models infer a rule from example grid pairs and produce the output grid for new inputs. Scored by tasks solved within two attempts.
ARC-AGI-3 is its successor, and both have ARC Prize 2026 competitions.
- Made by
- ARC Prize Foundation
- Released
- March 2025
- Kind
- Abstract puzzles and logic
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Public, plus a private test set
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last in a launch post
- September 2026
- Last model added
- November 2026
- Scores refreshed
- November 12th, 2026
In the authors’ words
The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI), introduced in 2019, established a challenging benchmark for evaluating the general fluid intelligence of artificial systems via a set of unique, novel tasks only requiring minimal prior knowledge. While ARC-AGI has spurred significant research activity over the past five years, recent AI progress calls for benchmarks capable of finer-grained evaluation at higher levels of cognitive complexity. We introduce ARC-AGI-2, an upgraded version of the benchmark. ARC-AGI-2 preserves the input-output pair task format of its predecessor, ensuring continuity for researchers. It incorporates a newly curated and expanded set of tasks specifically designed to provide a more granular signal to assess abstract reasoning and problem-solving abilities at higher levels of fluid intelligence. To contextualize the difficulty and characteristics of ARC-AGI-2, we present extensive results from human testing, providing a robust baseline that highlights the benchmark's accessibility to human intelligence, yet difficulty for current AI systems. ARC-AGI-2 aims to serve as a next-generation tool for rigorously measuring progress towards more general and human-like AI capabilities.
GPT-6 Astra leads with 95%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
GPT-6 Astra leads with 95%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 95.0 GPT-6 Astra
- 94.2 GPT-6.1 Sol
- 94.2
Gemini 4 Carbon
- 93.8 Claude Fable 5.2
- 93.3 Claude Opus 5.5
- 92.5 GPT-5.6 Sol
- 91.3
Gemini 4 Argon
- 90.4 Claude Opus 5
- 90.0 Claude Fable 5.1
- 89.6 GPT-6 Sol
- 89.2 Claude Fable 5
- 89.2
Gemini 3.8 Flash
- 85.0 GPT-5.5
- 84.6
Gemini 3 Deep Think
- 84.6 GPT-5.5 Pro
- 84.6
Gemini 3.7 Flash
- 83.9 GPT-5.6 Terra
- 83.9 Claude Sonnet 5.5
- 83.3 GPT-5.4 Pro
- 81.7
Inkling 2 Small
- 78.1
DeepSeek V4.1 Flash 1017
- 77.1
Gemini 3.1 Pro
- 76.8 Dots3-Note Preview (Max)
- 75.8 Claude Opus 4.7
- 74.0 GPT-5.4
- 72.9
DeepSeek V4.1 Flash
- 72.9 GPT-5.2 (Refinement)
- 72.1
Gemini 3.5 Flash
- 72.1 Claude Opus 4.8
- 69.2 Claude Opus 4.6
- 67.1 Grok 4.6
- 65.8 GLM-5.3-Flash
- 65.1 Grok 4.20
- 61.4
DeepSeek V4 Flash 0731
- 61.4 Grok 4.7
- 61.3
DeepSeek V4 Pro 0813
- 61.3 Claude Haiku 5.5
- 60.4 Claude Sonnet 4.6
- 60.4 Kimi K3
- 60.4
Gemini 3.6 Flash
- 59.6 GPT-5.6 Luna
- 59.3 GPT-6 Luna
- 57.5
Muse Spark Open
- 54.2 GPT-5.2 Pro
- 54.0 Gemini 3 Pro (Refinement)
- 52.9 GPT-5.2
- 52.6 Grok 4.5
- 45.1 Gemini 3 Deep Think (Preview)
- 42.4
Qwen 3.8 27B
- 40.1
Inkling-Small
- 37.6 Claude Opus 4.5
- 36.5
Inkling
- 33.6
Gemini 3 Flash
- 31.1
Gemini 3 Pro
- 29.4 Grok 4 (Refinement)
- 23.5 Beam 1.0
- 22.8 GLM-5.2
- 18.9 GPT-5.4 Mini
- 18.3 GPT-5 Pro
- 17.6 GPT-5.1
- 16.0 Grok 4
- 13.6 Claude Sonnet 4.5
- 11.8 Kimi K2.5
- 10.3
Gemini 3.5 Flash-Lite
- 9.86 GPT-5
- 8.61 Claude Opus 4
- 6.53 o3
- 6.25 tiny-recursion-model
- 6.11 o4-mini
- 5.93 Claude Sonnet 4
- 5.69 GPT-5.4 Nano
- 5.28 Grok 4 Fast
- 4.86
Gemini 2.5 Pro
- 4.86 o3-pro
- 4.86 GLM-5
- 4.86
MiniMax-M2.5
- 4.44 GPT-5 mini
- 4.03 Claude Haiku 4.5
- 4.03
DeepSeek-V3.2
- 2.99 o3-mini
- 2.61 GPT-5 nano
- 2.54
Gemini 2.5 Flash
- 1.94
Nemotron 3.5 Super VL
- 1.30
Gemini 2.0 Flash
- 1.30
DeepSeek-R1
- 1.27 codex-mini-2025-05-16
- 1.25
Qwen3-235B-A22B-Instruct
- 1.12
DeepSeek-R1
- 0.90 Claude 3.7 Sonnet
- 0.83 o1-mini
- 0.80
Gemini 1.5 Pro
- 0.80 GPT-4.5
- 0.42 Grok-3 mini
- 0.42 GPT-4.1
- 0.0 GPT-4o mini
- 0.0 GPT-4o
- 0.0
Llama 4 Maverick
- 0.0
Llama 4 Scout
- 0.0 Grok 3
- 0.0 GPT-4.1 mini
- 0.0 GPT-4.1 nano
- 0.0
Magistral Medium 1.0
- 0.0
Magistral Small 1.0
- 1 GPT-6 Astra max 95%
- 2 GPT-6.1 Sol max 94.2%
- 3
Gemini 4 Carbon medium 94.2%
- 4 Claude Fable 5.2 xhigh 93.8%
- 5 Claude Opus 5.5 high 93.3%
- 6 GPT-5.6 Sol max 92.5%
- 7
Gemini 4 Argon high 91.3%
- 8 Claude Opus 5 max 90.4%
- 9 Claude Fable 5.1 max 90%
- 10 GPT-6 Sol max 89.6%
- 11 Claude Fable 5 max 89.2%
- 12
Gemini 3.8 Flash high 89.2%
- 13 GPT-5.5 xhigh 85%
- 14
Gemini 3 Deep Think 84.6%
- 15 GPT-5.5 Pro high 84.6%
- 16
Gemini 3.7 Flash high 84.6%
- 17 GPT-5.6 Terra max 83.9%
- 18 Claude Sonnet 5.5 xhigh 83.9%
- 19 GPT-5.4 Pro xhigh 83.3%
- 20
Inkling 2 Small xhigh 81.7%
- 21
DeepSeek V4.1 Flash 1017 max 78.1%
- 22
Gemini 3.1 Pro 77.1%
- 23 Dots3-Note Preview (Max) 76.8%
- 24 Claude Opus 4.7 max 75.8%
- 25 GPT-5.4 xhigh 74%
- 26
DeepSeek V4.1 Flash max 72.9%
- 27 GPT-5.2 (Refinement) 72.9%
- 28
Gemini 3.5 Flash high 72.1%
- 29 Claude Opus 4.8 high 72.1%
- 30 Claude Opus 4.6 120k, high 69.2%
- 31 Grok 4.6 xhigh 67.1%
- 32 GLM-5.3-Flash max 65.8%
- 33 Grok 4.20 reasoning 65.1%
- 34
DeepSeek V4 Flash 0731 max 61.4%
- 35 Grok 4.7 xhigh 61.4%
- 36
DeepSeek V4 Pro 0813 max 61.3%
- 37 Claude Haiku 5.5 xhigh 61.3%
- 38 Claude Sonnet 4.6 high 60.4%
- 39 Kimi K3 max 60.4%
- 40
Gemini 3.6 Flash high 60.4%
- 41 GPT-5.6 Luna max 59.6%
- 42 GPT-6 Luna max 59.3%
- 43
Muse Spark Open xhigh 57.5%
- 44 GPT-5.2 Pro high 54.2%
- 45 Gemini 3 Pro (Refinement) 54%
- 46 GPT-5.2 xhigh 52.9%
- 47 Grok 4.5 high 52.6%
- 48 Gemini 3 Deep Think (Preview) 45.1%
- 49
Qwen 3.8 27B xhigh 42.4%
- 50
Inkling-Small xhigh 40.1%
- 51 Claude Opus 4.5 thinking, 64k 37.6%
- 52
Inkling 36.5%
- 53
Gemini 3 Flash high 33.6%
- 54
Gemini 3 Pro 31.1%
- 55 Grok 4 (Refinement) 29.4%
- 56 Beam 1.0 xhigh 23.5%
- 57 GLM-5.2 22.8%
- 58 GPT-5.4 Mini xhigh 18.9%
- 59 GPT-5 Pro 18.3%
- 60 GPT-5.1 thinking, high 17.6%
- 61 Grok 4 thinking 16%
- 62 Claude Sonnet 4.5 thinking 32k 13.6%
- 63 Kimi K2.5 11.8%
- 64
Gemini 3.5 Flash-Lite high 10.3%
- 65 GPT-5 high 9.86%
- 66 Claude Opus 4 thinking 16k 8.61%
- 67 o3 high 6.53%
- 68 tiny-recursion-model 6.25%
- 69 o4-mini high 6.11%
- 70 Claude Sonnet 4 thinking 16k 5.93%
- 71 GPT-5.4 Nano xhigh 5.69%
- 72 Grok 4 Fast 5.28%
- 73
Gemini 2.5 Pro Jun 2025, thinking 32k 4.86%
- 74 o3-pro high 4.86%
- 75 GLM-5 4.86%
- 76
MiniMax-M2.5 4.86%
- 77 GPT-5 mini high 4.44%
- 78 Claude Haiku 4.5 thinking 32k 4.03%
- 79
DeepSeek-V3.2 4.03%
- 80 o3-mini high 2.99%
- 81 GPT-5 nano high 2.61%
- 82
Gemini 2.5 Flash May 2025, thinking 24k 2.54%
- 83
Nemotron 3.5 Super VL medium 1.94%
- 84
Gemini 2.0 Flash Dec 2024 1.30%
- 85
DeepSeek-R1 1.30%
- 86 codex-mini-2025-05-16 1.27%
- 87
Qwen3-235B-A22B-Instruct Jul 2025 1.25%
- 88
DeepSeek-R1 May 2025 1.12%
- 89 Claude 3.7 Sonnet 8k 0.90%
- 90 o1-mini 0.83%
- 91
Gemini 1.5 Pro Sep 2024 0.80%
- 92 GPT-4.5 0.80%
- 93 Grok-3 mini low 0.42%
- 94 GPT-4.1 0.42%
- 95 GPT-4o mini 0%
- 96 GPT-4o Nov 2024 0%
- 97
Llama 4 Maverick 0%
- 98
Llama 4 Scout 0%
- 99 Grok 3 0%
- 100 GPT-4.1 mini 0%
- 101 GPT-4.1 nano 0%
- 102
Magistral Medium 1.0 0%
- 103
Magistral Small 1.0 0%
Source: Official ARC-AGI-2 leaderboard
- 95.0 GPT-6 Astra
- 94.2 GPT-6.1 Sol
- 94.2
Gemini 4 Carbon
- 93.8 Claude Fable 5.2
- 93.3 Claude Opus 5.5
- 92.5 GPT-5.6 Sol
- 91.3
Gemini 4 Argon
- 90.4 Claude Opus 5
- 90.0 Claude Fable 5.1
- 89.6 GPT-6 Sol
- 89.2 Claude Fable 5
- 89.2
Gemini 3.8 Flash
- 85.0 GPT-5.5
- 84.6
Gemini 3 Deep Think
- 84.6 GPT-5.5 Pro
- 84.6
Gemini 3.7 Flash
- 83.9 GPT-5.6 Terra
- 83.9 Claude Sonnet 5.5
- 83.3 GPT-5.4 Pro
- 81.7
Inkling 2 Small
- 78.1
DeepSeek V4.1 Flash 1017
- 77.1
Gemini 3.1 Pro
- 75.8 Claude Opus 4.7
- 74.0 GPT-5.4
- 72.9
DeepSeek V4.1 Flash
- 72.1
Gemini 3.5 Flash
- 72.1 Claude Opus 4.8
- 69.2 Claude Opus 4.6
- 67.1 Grok 4.6
- 66.2
Ring-2.6-1T
- 65.8 GLM-5.3-Flash
- 65.1 Grok 4.20
- 62.5
Seed2.1 Pro
- 61.4
DeepSeek V4 Flash 0731
- 61.4 Grok 4.7
- 61.3
DeepSeek V4 Pro 0813
- 61.3 Claude Haiku 5.5
- 60.4 Claude Sonnet 4.6
- 60.4 Kimi K3
- 60.4
Gemini 3.6 Flash
- 59.6 GPT-5.6 Luna
- 59.3 GPT-6 Luna
- 57.5
Muse Spark Open
- 54.2 GPT-5.2 Pro
- 52.9 GPT-5.2
- 52.6 Grok 4.5
- 42.5
Muse Spark
- 42.4
Qwen 3.8 27B
- 40.1
Inkling-Small
- 37.6 Claude Opus 4.5
- 37.5
Seed2.0 Pro
- 36.5
Inkling
- 33.6
Gemini 3 Flash
- 31.1
Gemini 3 Pro
- 23.5 Beam 1.0
- 22.8 GLM-5.2
- 19.3
Ring-2.5-1T
- 18.9 GPT-5.4 Mini
- 18.3 GPT-5 Pro
- 17.6 GPT-5.1
- 16.0 Grok 4
- 13.6 Claude Sonnet 4.5
- 11.8 Kimi K2.5
- 10.3
Gemini 3.5 Flash-Lite
- 9.86 GPT-5
- 8.61 Claude Opus 4
- 6.53 o3
- 6.25 tiny-recursion-model
- 6.11 o4-mini
- 5.93 Claude Sonnet 4
- 5.69 GPT-5.4 Nano
- 5.28 Grok 4 Fast
- 4.86
Gemini 2.5 Pro
- 4.86 o3-pro
- 4.86 GLM-5
- 4.86
MiniMax-M2.5
- 4.44 GPT-5 mini
- 4.03 Claude Haiku 4.5
- 4.03
DeepSeek-V3.2
- 2.99 o3-mini
- 2.61 GPT-5 nano
- 2.54
Gemini 2.5 Flash
- 1.94
Nemotron 3.5 Super VL
- 1.45
seed-oss-36b-instruct
- 1.30
Gemini 2.0 Flash
- 1.30
DeepSeek-R1
- 1.30
Gemini 2.0 Flash
- 1.27 codex-mini-2025-05-16
- 1.25
Qwen3-235B-A22B-Instruct
- 1.12
DeepSeek-R1
- 0.90 Claude 3.7 Sonnet
- 0.83 o1-mini
- 0.80
Gemini 1.5 Pro
- 0.80 GPT-4.5
- 0.42 Grok-3 mini
- 0.42 GPT-4.1
- 0.0 GPT-4o mini
- 0.0 GPT-4o
- 0.0
Llama 4 Maverick
- 0.0
Llama 4 Scout
- 0.0 Grok 3
- 0.0 GPT-4.1 mini
- 0.0 GPT-4.1 nano
- 0.0
Magistral Medium 1.0
- 0.0
Magistral Small 1.0
- 0.0
Magistral Medium 1.1
- 1 GPT-6 Astra max 95%
- 2 GPT-6.1 Sol max 94.2%
- 3
Gemini 4 Carbon medium 94.2%
- 4 Claude Fable 5.2 xhigh 93.8%
- 5 Claude Opus 5.5 high 93.3%
- 6 GPT-5.6 Sol max 92.5%
- 7
Gemini 4 Argon high 91.3%
- 8 Claude Opus 5 max 90.4%
- 9 Claude Fable 5.1 max 90%
- 10 GPT-6 Sol max 89.6%
- 11 Claude Fable 5 max 89.2%
- 12
Gemini 3.8 Flash high 89.2%
- 13 GPT-5.5 xhigh 85%
- 14
Gemini 3 Deep Think 84.6%
- 15 GPT-5.5 Pro high 84.6%
- 16
Gemini 3.7 Flash high 84.6%
- 17 GPT-5.6 Terra max 83.9%
- 18 Claude Sonnet 5.5 xhigh 83.9%
- 19 GPT-5.4 Pro xhigh 83.3%
- 20
Inkling 2 Small xhigh 81.7%
- 21
DeepSeek V4.1 Flash 1017 max 78.1%
- 22
Gemini 3.1 Pro 77.1%
- 23 Claude Opus 4.7 max 75.8%
- 24 GPT-5.4 xhigh 74%
- 25
DeepSeek V4.1 Flash max 72.9%
- 26
Gemini 3.5 Flash 72.1%
- 27 Claude Opus 4.8 high 72.1%
- 28 Claude Opus 4.6 120k, high 69.2%
- 29 Grok 4.6 xhigh 67.1%
- 30
Ring-2.6-1T 66.2%
- 31 GLM-5.3-Flash max 65.8%
- 32 Grok 4.20 reasoning 65.1%
- 33
Seed2.1 Pro 62.5%
- 34
DeepSeek V4 Flash 0731 max 61.4%
- 35 Grok 4.7 xhigh 61.4%
- 36
DeepSeek V4 Pro 0813 max 61.3%
- 37 Claude Haiku 5.5 xhigh 61.3%
- 38 Claude Sonnet 4.6 high 60.4%
- 39 Kimi K3 max 60.4%
- 40
Gemini 3.6 Flash high 60.4%
- 41 GPT-5.6 Luna max 59.6%
- 42 GPT-6 Luna max 59.3%
- 43
Muse Spark Open xhigh 57.5%
- 44 GPT-5.2 Pro 54.2%
- 45 GPT-5.2 xhigh 52.9%
- 46 Grok 4.5 high 52.6%
- 47
Muse Spark 42.5%
- 48
Qwen 3.8 27B xhigh 42.4%
- 49
Inkling-Small xhigh 40.1%
- 50 Claude Opus 4.5 thinking, 64k 37.6%
- 51
Seed2.0 Pro 37.5%
- 52
Inkling 36.5%
- 53
Gemini 3 Flash high 33.6%
- 54
Gemini 3 Pro 31.1%
- 55 Beam 1.0 xhigh 23.5%
- 56 GLM-5.2 22.8%
- 57
Ring-2.5-1T 19.3%
- 58 GPT-5.4 Mini xhigh 18.9%
- 59 GPT-5 Pro 18.3%
- 60 GPT-5.1 thinking, high 17.6%
- 61 Grok 4 thinking 16%
- 62 Claude Sonnet 4.5 thinking 32k 13.6%
- 63 Kimi K2.5 11.8%
- 64
Gemini 3.5 Flash-Lite high 10.3%
- 65 GPT-5 high 9.86%
- 66 Claude Opus 4 thinking 16k 8.61%
- 67 o3 high 6.53%
- 68 tiny-recursion-model 6.25%
- 69 o4-mini high 6.11%
- 70 Claude Sonnet 4 thinking 16k 5.93%
- 71 GPT-5.4 Nano xhigh 5.69%
- 72 Grok 4 Fast 5.28%
- 73
Gemini 2.5 Pro Jun 2025, thinking 32k 4.86%
- 74 o3-pro high 4.86%
- 75 GLM-5 4.86%
- 76
MiniMax-M2.5 4.86%
- 77 GPT-5 mini high 4.44%
- 78 Claude Haiku 4.5 thinking 32k 4.03%
- 79
DeepSeek-V3.2 4.03%
- 80 o3-mini high 2.99%
- 81 GPT-5 nano high 2.61%
- 82
Gemini 2.5 Flash May 2025, thinking 24k 2.54%
- 83
Nemotron 3.5 Super VL medium 1.94%
- 84
seed-oss-36b-instruct 1.45%
- 85
Gemini 2.0 Flash Dec 2024 1.30%
- 86
DeepSeek-R1 1.30%
- 87
Gemini 2.0 Flash Feb 2025 1.30%
- 88 codex-mini-2025-05-16 1.27%
- 89
Qwen3-235B-A22B-Instruct Jul 2025 1.25%
- 90
DeepSeek-R1 May 2025 1.12%
- 91 Claude 3.7 Sonnet 8k 0.90%
- 92 o1-mini 0.83%
- 93
Gemini 1.5 Pro Sep 2024 0.80%
- 94 GPT-4.5 0.80%
- 95 Grok-3 mini low 0.42%
- 96 GPT-4.1 0.42%
- 97 GPT-4o mini 0%
- 98 GPT-4o Nov 2024 0%
- 99
Llama 4 Maverick 0%
- 100
Llama 4 Scout 0%
- 101 Grok 3 0%
- 102 GPT-4.1 mini 0%
- 103 GPT-4.1 nano 0%
- 104
Magistral Medium 1.0 0%
- 105
Magistral Small 1.0 0%
- 106
Magistral Medium 1.1 0%
Sources: Official ARC-AGI-2 leaderboard, labs’ model cards and Another board, via Epoch AI (CC BY 4.0)
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 95% | max | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 94.2% | max | Sep 2026 | Official leaderboard |
| 3 | | 94.2% | medium | Oct 2026 | Official leaderboard |
| 4 | Claude Fable 5.2 | 93.8% | xhigh | Nov 2026 | Official leaderboard |
| 5 | Claude Opus 5.5 | 93.3% | high | Sep 2026 | Official leaderboard |
| 6 | GPT-5.6 Sol | 92.5% | max | Jul 2026 | Official leaderboard |
| 7 | | 91.3% | high | Sep 2026 | Official leaderboard |
| 8 | Claude Opus 5 | 90.4% | max | Jul 2026 | Official leaderboard |
| 9 | Claude Fable 5.1 | 90% | max | Sep 2026 | Official leaderboard |
| 10 | GPT-6 Sol | 89.6% | max | Sep 2026 | Official leaderboard |
| 11 | Claude Fable 5 | 89.2% | max | Jun 2026 | Official leaderboard |
| 12 | | 89.2% | high | Sep 2026 | Official leaderboard |
| 13 | GPT-5.5 | 85% | xhigh | Apr 2026 | Official leaderboard |
| 14 | | 84.6% | Feb 2026 | Official leaderboard | |
| 15 | GPT-5.5 Pro | 84.6% | high | Apr 2026 | Official leaderboard |
| 16 | | 84.6% | high | Aug 2026 | Official leaderboard |
| 17 | GPT-5.6 Terra | 83.9% | max | Jul 2026 | Official leaderboard |
| 18 | Claude Sonnet 5.5 | 83.9% | xhigh | Sep 2026 | Official leaderboard |
| 19 | GPT-5.4 Pro | 83.3% | xhigh | Mar 2026 | Official leaderboard |
| 20 | | 81.7% | xhigh | Nov 2026 | Official leaderboard |
| 21 | | 78.1% | max | Oct 2026 | Official leaderboard |
| 22 | | 77.1% | Feb 2026 | Official leaderboard | |
| 23 | Dots3-Note Preview (Max) | 76.8% | Aug 2026 | Official leaderboard | |
| 24 | Claude Opus 4.7 | 75.8% | max | Apr 2026 | Official leaderboard |
| 25 | GPT-5.4 | 74% | xhigh | Mar 2026 | Official leaderboard |
| 26 | | 72.9% | max | Sep 2026 | Official leaderboard |
| 27 | GPT-5.2 (Refinement) | 72.9% | Feb 2026 | Official leaderboard | |
| 28 | | 72.1% | high | May 2026 | Official leaderboard |
| 29 | Claude Opus 4.8 | 72.1% | high | May 2026 | Official leaderboard |
| 30 | Claude Opus 4.6 | 69.2% | 120k, high | Feb 2026 | Official leaderboard |
| 31 | Grok 4.6 | 67.1% | xhigh | Aug 2026 | Official leaderboard |
| 32 | GLM-5.3-Flash | 65.8% | max | Aug 2026 | Official leaderboard |
| 33 | Grok 4.20 | 65.1% | reasoning | Feb 2026 | Official leaderboard |
| 34 | | 61.4% | max | Jul 2026 | Official leaderboard |
| 35 | Grok 4.7 | 61.4% | xhigh | Sep 2026 | Official leaderboard |
| 36 | | 61.3% | max | Aug 2026 | Official leaderboard |
| 37 | Claude Haiku 5.5 | 61.3% | xhigh | Oct 2026 | Official leaderboard |
| 38 | Claude Sonnet 4.6 | 60.4% | high | Feb 2026 | Official leaderboard |
| 39 | Kimi K3 | 60.4% | max | Jul 2026 | Official leaderboard |
| 40 | | 60.4% | high | Jul 2026 | Official leaderboard |
| 41 | GPT-5.6 Luna | 59.6% | max | Jul 2026 | Official leaderboard |
| 42 | GPT-6 Luna | 59.3% | max | Sep 2026 | Official leaderboard |
| 43 | | 57.5% | xhigh | Oct 2026 | Official leaderboard |
| 44 | GPT-5.2 Pro | 54.2% | high | Dec 2025 | Official leaderboard |
| 45 | Gemini 3 Pro (Refinement) | 54% | Dec 2025 | Official leaderboard | |
| 46 | GPT-5.2 | 52.9% | xhigh | Dec 2025 | Official leaderboard |
| 47 | Grok 4.5 | 52.6% | high | Jul 2026 | Official leaderboard |
| 48 | Gemini 3 Deep Think (Preview) | 45.1% | Feb 2026 | Official leaderboard | |
| 49 | | 42.4% | xhigh | Aug 2026 | Official leaderboard |
| 50 | | 40.1% | xhigh | Jul 2026 | Official leaderboard |
| 51 | Claude Opus 4.5 | 37.6% | thinking, 64k | Nov 2025 | Official leaderboard |
| 52 | | 36.5% | Jul 2026 | Official leaderboard | |
| 53 | | 33.6% | high | Dec 2025 | Official leaderboard |
| 54 | | 31.1% | Nov 2025 | Official leaderboard | |
| 55 | Grok 4 (Refinement) | 29.4% | Aug 2025 | Official leaderboard | |
| 56 | Beam 1.0 | 23.5% | xhigh | Oct 2026 | Official leaderboard |
| 57 | GLM-5.2 | 22.8% | Jun 2026 | Official leaderboard | |
| 58 | GPT-5.4 Mini | 18.9% | xhigh | Mar 2026 | Official leaderboard |
| 59 | GPT-5 Pro | 18.3% | Oct 2025 | Official leaderboard | |
| 60 | GPT-5.1 | 17.6% | thinking, high | Nov 2025 | Official leaderboard |
| 61 | Grok 4 | 16% | thinking | Jul 2025 | Official leaderboard |
| 62 | Claude Sonnet 4.5 | 13.6% | thinking 32k | Sep 2025 | Official leaderboard |
| 63 | Kimi K2.5 | 11.8% | Jan 2026 | Official leaderboard | |
| 64 | | 10.3% | high | Jul 2026 | Official leaderboard |
| 65 | GPT-5 | 9.86% | high | Aug 2025 | Official leaderboard |
| 66 | Claude Opus 4 | 8.61% | thinking 16k | May 2025 | Official leaderboard |
| 67 | o3 | 6.53% | high | Apr 2025 | Official leaderboard |
| 68 | tiny-recursion-model | 6.25% | Oct 2025 | Official leaderboard | |
| 69 | o4-mini | 6.11% | high | Apr 2025 | Official leaderboard |
| 70 | Claude Sonnet 4 | 5.93% | thinking 16k | May 2025 | Official leaderboard |
| 71 | GPT-5.4 Nano | 5.69% | xhigh | Mar 2026 | Official leaderboard |
| 72 | Grok 4 Fast | 5.28% | Sep 2025 | Official leaderboard | |
| 73 | | 4.86% | thinking 32k | Jun 2025 | Official leaderboard |
| 74 | o3-pro | 4.86% | high | Jun 2025 | Official leaderboard |
| 75 | GLM-5 | 4.86% | Feb 2026 | Official leaderboard | |
| 76 | | 4.86% | Feb 2026 | Official leaderboard | |
| 77 | GPT-5 mini | 4.44% | high | Aug 2025 | Official leaderboard |
| 78 | Claude Haiku 4.5 | 4.03% | thinking 32k | Oct 2025 | Official leaderboard |
| 79 | | 4.03% | Dec 2025 | Official leaderboard | |
| 80 | o3-mini | 2.99% | high | Jan 2025 | Official leaderboard |
| 81 | GPT-5 nano | 2.61% | high | Aug 2025 | Official leaderboard |
| 82 | | 2.54% | thinking 24k | May 2025 | Official leaderboard |
| 83 | | 1.94% | medium | Oct 2026 | Official leaderboard |
| 84 | | 1.30% | Dec 2024 | Official leaderboard | |
| 85 | | 1.30% | Jan 2025 | Official leaderboard | |
| 86 | codex-mini-2025-05-16 | 1.27% | May 2025 | Official leaderboard | |
| 87 | | 1.25% | Jul 2025 | Official leaderboard | |
| 88 | | 1.12% | May 2025 | Official leaderboard | |
| 89 | Claude 3.7 Sonnet | 0.90% | 8k | Feb 2025 | Official leaderboard |
| 90 | o1-mini | 0.83% | Sep 2024 | Official leaderboard | |
| 91 | | 0.80% | Sep 2024 | Official leaderboard | |
| 92 | GPT-4.5 | 0.80% | Feb 2025 | Official leaderboard | |
| 93 | Grok-3 mini | 0.42% | low | Apr 2025 | Official leaderboard |
| 94 | GPT-4.1 | 0.42% | Apr 2025 | Official leaderboard | |
| 95 | GPT-4o mini | 0% | Jul 2024 | Official leaderboard | |
| 96 | GPT-4o Nov 2024 | 0% | Nov 2024 | Official leaderboard | |
| 97 | | 0% | Apr 2025 | Official leaderboard | |
| 98 | | 0% | Apr 2025 | Official leaderboard | |
| 99 | Grok 3 | 0% | Apr 2025 | Official leaderboard | |
| 100 | GPT-4.1 mini | 0% | Apr 2025 | Official leaderboard | |
| 101 | GPT-4.1 nano | 0% | Apr 2025 | Official leaderboard | |
| 102 | | 0% | Jun 2025 | Official leaderboard | |
| 103 | | 0% | Jun 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 95% | max | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 94.2% | max | Sep 2026 | Official leaderboard |
| 3 | | 94.2% | medium | Oct 2026 | Official leaderboard |
| 4 | Claude Fable 5.2 | 93.8% | xhigh | Nov 2026 | Official leaderboard |
| 5 | Claude Opus 5.5 | 93.3% | high | Sep 2026 | Official leaderboard |
| 6 | GPT-5.6 Sol | 92.5% | max | Jul 2026 | Official leaderboard |
| 7 | | 91.3% | high | Sep 2026 | Official leaderboard |
| 8 | Claude Opus 5 | 90.4% | max | Jul 2026 | Official leaderboard |
| 9 | Claude Fable 5.1 | 90% | max | Sep 2026 | Official leaderboard |
| 10 | GPT-6 Sol | 89.6% | max | Sep 2026 | Official leaderboard |
| 11 | Claude Fable 5 | 89.2% | max | Jun 2026 | Official leaderboard |
| 12 | | 89.2% | high | Sep 2026 | Official leaderboard |
| 13 | GPT-5.5 | 85% | xhigh | Apr 2026 | Official leaderboard |
| 14 | | 84.6% | Feb 2026 | Lab model card | |
| 15 | GPT-5.5 Pro | 84.6% | high | Apr 2026 | Official leaderboard |
| 16 | | 84.6% | high | Aug 2026 | Official leaderboard |
| 17 | GPT-5.6 Terra | 83.9% | max | Jul 2026 | Official leaderboard |
| 18 | Claude Sonnet 5.5 | 83.9% | xhigh | Sep 2026 | Official leaderboard |
| 19 | GPT-5.4 Pro | 83.3% | xhigh | Mar 2026 | Official leaderboard |
| 20 | | 81.7% | xhigh | Nov 2026 | Official leaderboard |
| 21 | | 78.1% | max | Oct 2026 | Official leaderboard |
| 22 | | 77.1% | Feb 2026 | Lab model card | |
| 23 | Claude Opus 4.7 | 75.8% | max | Apr 2026 | Official leaderboard |
| 24 | GPT-5.4 | 74% | xhigh | Mar 2026 | Official leaderboard |
| 25 | | 72.9% | max | Sep 2026 | Official leaderboard |
| 26 | | 72.1% | May 2026 | Lab model card | |
| 27 | Claude Opus 4.8 | 72.1% | high | May 2026 | Official leaderboard |
| 28 | Claude Opus 4.6 | 69.2% | 120k, high | Feb 2026 | Official leaderboard |
| 29 | Grok 4.6 | 67.1% | xhigh | Aug 2026 | Official leaderboard |
| 30 | | 66.2% | May 2026 | Lab model card | |
| 31 | GLM-5.3-Flash | 65.8% | max | Aug 2026 | Official leaderboard |
| 32 | Grok 4.20 | 65.1% | reasoning | Feb 2026 | Official leaderboard |
| 33 | | 62.5% | Jun 2026 | Lab model card | |
| 34 | | 61.4% | max | Jul 2026 | Official leaderboard |
| 35 | Grok 4.7 | 61.4% | xhigh | Sep 2026 | Official leaderboard |
| 36 | | 61.3% | max | Aug 2026 | Official leaderboard |
| 37 | Claude Haiku 5.5 | 61.3% | xhigh | Oct 2026 | Official leaderboard |
| 38 | Claude Sonnet 4.6 | 60.4% | high | Feb 2026 | Official leaderboard |
| 39 | Kimi K3 | 60.4% | max | Jul 2026 | Official leaderboard |
| 40 | | 60.4% | high | Jul 2026 | Official leaderboard |
| 41 | GPT-5.6 Luna | 59.6% | max | Jul 2026 | Official leaderboard |
| 42 | GPT-6 Luna | 59.3% | max | Sep 2026 | Official leaderboard |
| 43 | | 57.5% | xhigh | Oct 2026 | Official leaderboard |
| 44 | GPT-5.2 Pro | 54.2% | Dec 2025 | Lab model card | |
| 45 | GPT-5.2 | 52.9% | xhigh | Dec 2025 | Official leaderboard |
| 46 | Grok 4.5 | 52.6% | high | Jul 2026 | Official leaderboard |
| 47 | | 42.5% | Apr 2026 | Lab model card | |
| 48 | | 42.4% | xhigh | Aug 2026 | Official leaderboard |
| 49 | | 40.1% | xhigh | Jul 2026 | Official leaderboard |
| 50 | Claude Opus 4.5 | 37.6% | thinking, 64k | Nov 2025 | Official leaderboard |
| 51 | | 37.5% | Feb 2026 | Lab model card | |
| 52 | | 36.5% | Jul 2026 | Official leaderboard | |
| 53 | | 33.6% | high | Dec 2025 | Official leaderboard |
| 54 | | 31.1% | Nov 2025 | Official leaderboard | |
| 55 | Beam 1.0 | 23.5% | xhigh | Oct 2026 | Official leaderboard |
| 56 | GLM-5.2 | 22.8% | Jun 2026 | Official leaderboard | |
| 57 | | 19.3% | Feb 2026 | Lab model card | |
| 58 | GPT-5.4 Mini | 18.9% | xhigh | Mar 2026 | Official leaderboard |
| 59 | GPT-5 Pro | 18.3% | Oct 2025 | Official leaderboard | |
| 60 | GPT-5.1 | 17.6% | thinking, high | Nov 2025 | Official leaderboard |
| 61 | Grok 4 | 16% | thinking | Jul 2025 | Official leaderboard |
| 62 | Claude Sonnet 4.5 | 13.6% | thinking 32k | Sep 2025 | Official leaderboard |
| 63 | Kimi K2.5 | 11.8% | Jan 2026 | Official leaderboard | |
| 64 | | 10.3% | high | Jul 2026 | Official leaderboard |
| 65 | GPT-5 | 9.86% | high | Aug 2025 | Official leaderboard |
| 66 | Claude Opus 4 | 8.61% | thinking 16k | May 2025 | Official leaderboard |
| 67 | o3 | 6.53% | high | Apr 2025 | Official leaderboard |
| 68 | tiny-recursion-model | 6.25% | Oct 2025 | Official leaderboard | |
| 69 | o4-mini | 6.11% | high | Apr 2025 | Official leaderboard |
| 70 | Claude Sonnet 4 | 5.93% | thinking 16k | May 2025 | Official leaderboard |
| 71 | GPT-5.4 Nano | 5.69% | xhigh | Mar 2026 | Official leaderboard |
| 72 | Grok 4 Fast | 5.28% | Sep 2025 | Official leaderboard | |
| 73 | | 4.86% | thinking 32k | Jun 2025 | Official leaderboard |
| 74 | o3-pro | 4.86% | high | Jun 2025 | Official leaderboard |
| 75 | GLM-5 | 4.86% | Feb 2026 | Official leaderboard | |
| 76 | | 4.86% | Feb 2026 | Official leaderboard | |
| 77 | GPT-5 mini | 4.44% | high | Aug 2025 | Official leaderboard |
| 78 | Claude Haiku 4.5 | 4.03% | thinking 32k | Oct 2025 | Official leaderboard |
| 79 | | 4.03% | Dec 2025 | Official leaderboard | |
| 80 | o3-mini | 2.99% | high | Jan 2025 | Official leaderboard |
| 81 | GPT-5 nano | 2.61% | high | Aug 2025 | Official leaderboard |
| 82 | | 2.54% | thinking 24k | May 2025 | Official leaderboard |
| 83 | | 1.94% | medium | Oct 2026 | Official leaderboard |
| 84 | | 1.45% | Aug 2025 | Lab model card | |
| 85 | | 1.30% | Dec 2024 | Official leaderboard | |
| 86 | | 1.30% | Jan 2025 | Official leaderboard | |
| 87 | | 1.30% | Feb 2025 | Collected by Epoch AI, source not named | |
| 88 | codex-mini-2025-05-16 | 1.27% | May 2025 | Official leaderboard | |
| 89 | | 1.25% | Jul 2025 | Official leaderboard | |
| 90 | | 1.12% | May 2025 | Official leaderboard | |
| 91 | Claude 3.7 Sonnet | 0.90% | 8k | Feb 2025 | Official leaderboard |
| 92 | o1-mini | 0.83% | Sep 2024 | Official leaderboard | |
| 93 | | 0.80% | Sep 2024 | Official leaderboard | |
| 94 | GPT-4.5 | 0.80% | Feb 2025 | Official leaderboard | |
| 95 | Grok-3 mini | 0.42% | low | Apr 2025 | Official leaderboard |
| 96 | GPT-4.1 | 0.42% | Apr 2025 | Official leaderboard | |
| 97 | GPT-4o mini | 0% | Jul 2024 | Official leaderboard | |
| 98 | GPT-4o Nov 2024 | 0% | Nov 2024 | Official leaderboard | |
| 99 | | 0% | Apr 2025 | Official leaderboard | |
| 100 | | 0% | Apr 2025 | Official leaderboard | |
| 101 | Grok 3 | 0% | Apr 2025 | Official leaderboard | |
| 102 | GPT-4.1 mini | 0% | Apr 2025 | Official leaderboard | |
| 103 | GPT-4.1 nano | 0% | Apr 2025 | Official leaderboard | |
| 104 | | 0% | Jun 2025 | Official leaderboard | |
| 105 | | 0% | Jun 2025 | Official leaderboard | |
| 106 | | 0% | Jun 2025 | Collected by Epoch AI, source not named |
Labs report scores for 24 models in their cards. Epoch AI collected claims for 97 models from labs’ reports and papers. Switch the scores above to rank them together.
The best score, 95%, costs $1.12 a task
Runs on the cost frontier score higher than any run that's cheaper. GPT-6.1 Sol at high comes within 3.3 points of the best for $0.13 a task, 8 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official ARC-AGI-2 leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-6 Astra | max | 95% | $1.12 | ||
| GPT-6.1 Sol | max | 94.2% | $0.25 | ||
| | medium | 94.2% | $0.38 | ||
| Claude Fable 5.2 | xhigh | 93.8% | $0.98 | ||
| GPT-6 Astra | xhigh | 93.3% | $0.83 | ||
| Claude Opus 5.5 | high | 93.3% | $0.41 | ||
| GPT-5.6 Sol | max | 92.5% | $1.44 | ||
| Claude Opus 5.5 | xhigh | 92.5% | $0.67 | ||
| Claude Fable 5.2 | max | 92.5% | $2.81 | ||
| GPT-6 Astra | high | 92.1% | $0.67 | ||
| GPT-6 Astra | medium | 92.1% | $0.48 | ||
| | high | 92.1% | $0.68 | ||
| Claude Opus 5.5 | max | 91.7% | $1.85 | ||
| GPT-6.1 Sol | xhigh | 91.7% | $0.18 | ||
| GPT-6.1 Sol | high | 91.7% | $0.13 | ||
| | high | 91.3% | $0.32 | ||
| Claude Opus 5 | max | 90.4% | $2.06 | ||
| Claude Fable 5.2 | high | 90.4% | $0.91 | ||
| GPT-5.6 Sol | xhigh | 90% | $1.04 | ||
| Claude Fable 5.1 | max | 90% | $4.49 | ||
| Claude Fable 5.1 | xhigh | 90% | $3.12 | ||
| GPT-6 Sol | max | 89.6% | $0.44 | ||
| Claude Fable 5.2 | medium | 89.6% | $0.63 | ||
| Claude Fable 5 | max | 89.2% | $5.45 | ||
| | high | 89.2% | $0.40 | ||
| Claude Fable 5.1 | high | 88.8% | $1.67 | ||
| Claude Fable 5 | xhigh | 88.3% | $3.00 | ||
| Claude Opus 5 | high | 88.3% | $1.45 | ||
| Claude Fable 5 | high | 87.5% | $2.44 | ||
| Claude Opus 5.5 | medium | 87.5% | $0.34 | ||
| | medium | 87.1% | $0.14 | ||
| GPT-6.1 Sol | medium | 86.7% | $0.10 | ||
| Claude Fable 5.2 | low | 86.7% | $0.52 | ||
| Claude Fable 5.1 | medium | 86.3% | $1.22 | ||
| GPT-5.6 Sol | high | 85.4% | $0.74 | ||
| GPT-6 Astra | low | 85.4% | $0.42 | ||
| GPT-5.5 | xhigh | 85% | $1.87 | ||
| | 84.6% | $14 | |||
| GPT-5.5 Pro | high | 84.6% | $11 | ||
| | high | 84.6% | $0.25 | ||
| GPT-5.5 Pro | xhigh | 84.2% | $11 | ||
| GPT-5.6 Terra | max | 83.9% | $1.09 | ||
| Claude Sonnet 5.5 | xhigh | 83.9% | $0.55 | ||
| GPT-5.4 Pro | xhigh | 83.3% | $16 | ||
| GPT-5.5 | high | 83.3% | $1.45 | ||
| | medium | 82.9% | $0.25 | ||
| Claude Fable 5 | medium | 82.5% | $1.93 | ||
| | xhigh | 81.7% | $0.27 | ||
| Claude Fable 5.1 | low | 78.3% | $0.95 | ||
| GPT-6 Sol | xhigh | 78.1% | $0.28 | ||
| | max | 78.1% | $0.16 | ||
| | low | 77.5% | $0.15 | ||
| | 77.1% | $0.96 | |||
| Claude Fable 5 | low | 76.8% | $1.45 | ||
| GPT-6.1 Sol | low | 76.7% | $0.09 | ||
| Claude Opus 4.7 | max | 75.8% | $7.43 | ||
| GPT-5.6 Terra | xhigh | 74.2% | $0.69 | ||
| GPT-5.4 | xhigh | 74% | $1.52 | ||
| | low | 73.6% | $0.13 | ||
| | max | 72.9% | $0.13 | ||
| | high | 72.1% | $0.85 | ||
| Claude Opus 4.8 | high | 72.1% | $2.74 | ||
| Claude Opus 4.8 | medium | 71.7% | $2.39 | ||
| GPT-5.5 | medium | 70.4% | $0.86 | ||
| Claude Opus 5.5 | low | 70.1% | $0.24 | ||
| Claude Opus 4.6 | 120k, high | 69.2% | $3.47 | ||
| GPT-6 Sol | high | 68.9% | $0.20 | ||
| Claude Opus 4.6 | 120k, max | 68.8% | $3.64 | ||
| | high | 68.6% | $0.15 | ||
| Claude Opus 4.7 | high | 68.3% | $3.17 | ||
| GPT-5.4 | high | 67.5% | $1.02 | ||
| Claude Opus 4.7 | medium | 67.5% | $2.96 | ||
| | high | 67.5% | $0.13 | ||
| Claude Sonnet 5.5 | high | 67.4% | $0.28 | ||
| GPT-5.6 Sol | medium | 67.1% | $0.47 | ||
| GPT-5.6 Terra | high | 67.1% | $0.55 | ||
| Grok 4.6 | xhigh | 67.1% | $0.76 | ||
| Claude Opus 4.6 | 120k, medium | 66.3% | $2.72 | ||
| GLM-5.3-Flash | max | 65.8% | $0.09 | ||
| Grok 4.20 | reasoning | 65.1% | $0.92 | ||
| Grok 4.6 | high | 65.1% | $0.73 | ||
| Claude Opus 4.6 | 120k, low | 64.6% | $2.25 | ||
| | medium | 63.8% | $0.12 | ||
| Claude Opus 4.8 | low | 62.2% | $1.68 | ||
| Claude Opus 4.7 | low | 62.1% | $2.38 | ||
| | max | 61.4% | $0.04 | ||
| Grok 4.7 | xhigh | 61.4% | $2.02 | ||
| Grok 4.6 | medium | 61.3% | $0.66 | ||
| | max | 61.3% | $0.60 | ||
| Claude Haiku 5.5 | xhigh | 61.3% | $0.08 | ||
| | low | 60.6% | $0.12 | ||
| Claude Sonnet 4.6 | high | 60.4% | $2.70 | ||
| Kimi K3 | max | 60.4% | $1.59 | ||
| | high | 60.4% | $0.61 | ||
| | high | 59.7% | $0.60 | ||
| GPT-5.6 Luna | max | 59.6% | $0.18 | ||
| GPT-6 Astra | none | 59.6% | $0.37 | ||
| GPT-5.6 Luna | max | 59.5% | $0.67 | ||
| GPT-6 Luna | max | 59.3% | $0.06 | ||
| Grok 4.7 | medium | 58.8% | $1.48 | ||
| Claude Sonnet 4.6 | max | 58.3% | $2.72 | ||
| Grok 4.7 | high | 58.3% | $1.55 | ||
| GPT-6 Sol | medium | 57.8% | $0.15 | ||
| | xhigh | 57.5% | $0.73 | ||
| | low | 56.3% | $0.37 | ||
| | high | 56% | $0.05 | ||
| GPT-5.4 | medium | 55.4% | $0.68 | ||
| Kimi K3 | high | 55% | $0.95 | ||
| GPT-5.2 Pro | high | 54.2% | $16 | ||
| | low | 52.9% | $0.08 | ||
| GPT-5.2 | xhigh | 52.9% | $1.90 | ||
| Grok 4.5 | high | 52.6% | $0.78 | ||
| Grok 4.5 | medium | 52.6% | $0.75 | ||
| | medium | 50.4% | $0.46 | ||
| GLM-5.3-Flash | high | 50.1% | $0.08 | ||
| | low | 49.6% | $0.10 | ||
| GPT-5.6 Luna | xhigh | 47.6% | $0.54 | ||
| | high | 47.5% | $0.62 | ||
| | low | 46% | $0.02 | ||
| GPT-5.6 Luna | xhigh | 43.5% | $0.13 | ||
| GPT-5.2 | high | 43.3% | $1.39 | ||
| GPT-5.6 Sol | low | 42.5% | $0.32 | ||
| | xhigh | 42.4% | $0.45 | ||
| | low | 42.1% | $0.07 | ||
| GPT-6 Luna | xhigh | 41.9% | $0.03 | ||
| | xhigh | 40.1% | $0.23 | ||
| GPT-5.2 Pro | medium | 38.5% | $8.99 | ||
| Claude Opus 4.5 | thinking, 64k | 37.6% | $2.40 | ||
| GPT-5.6 Terra | medium | 37.5% | $0.27 | ||
| | 36.5% | $0.64 | |||
| | high | 33.6% | $0.23 | ||
| GPT-5.5 | low | 33.3% | $0.35 | ||
| GPT-5.6 Luna | high | 33.3% | $0.06 | ||
| Grok 4.5 | low | 33.1% | $0.40 | ||
| | high | 33.1% | $0.13 | ||
| Claude Sonnet 5.5 | medium | 32.8% | $0.16 | ||
| GPT-6 Sol | low | 31.5% | $0.10 | ||
| GPT-6 Luna | high | 31.4% | $0.02 | ||
| | 31.1% | $0.81 | |||
| Claude Haiku 5.5 | high | 30.7% | $0.05 | ||
| | low | 30.4% | $0.22 | ||
| GPT-5.6 Luna | high | 29.3% | $0.29 | ||
| GPT-5.4 | low | 29.2% | $0.27 | ||
| GLM-5.3-Flash | low | 27.9% | $0.06 | ||
| Grok 4.6 | low | 27.6% | $0.21 | ||
| | medium | 27.5% | $0.25 | ||
| GPT-5.2 | medium | 26.7% | $0.76 | ||
| Claude Sonnet 5.5 | low | 24% | $0.11 | ||
| Beam 1.0 | xhigh | 23.5% | $0.61 | ||
| Claude Opus 4.5 | thinking, 16k | 22.8% | $0.79 | ||
| GLM-5.2 | 22.8% | $0.25 | |||
| | low | 22.8% | $0.24 | ||
| Beam 1.0 | high | 20% | $0.35 | ||
| GPT-5.4 Mini | xhigh | 18.9% | $0.75 | ||
| GPT-5.6 Terra | low | 18.8% | $0.17 | ||
| GPT-5 Pro | 18.3% | $7.14 | |||
| GPT-6 Luna | medium | 18.1% | $0.01 | ||
| GPT-5.1 | thinking, high | 17.6% | $1.17 | ||
| Grok 4.7 | low | 16.7% | $0.17 | ||
| Grok 4 | thinking | 16% | $2.17 | ||
| Claude Opus 4.5 | thinking, 8k | 13.9% | $0.48 | ||
| Claude Sonnet 4.5 | thinking 32k | 13.6% | $0.76 | ||
| | medium | 13.6% | $0.06 | ||
| GPT-5.4 Mini | high | 13.2% | $0.56 | ||
| | medium | 13.2% | $0.29 | ||
| | medium | 12.8% | $0.08 | ||
| Kimi K3 | low | 12.4% | $0.25 | ||
| | low | 12.2% | $0.11 | ||
| Kimi K2.5 | 11.8% | $0.28 | |||
| | high | 10.3% | $0.14 | ||
| GPT-5 | high | 9.86% | $0.73 | ||
| GPT-5.2 | low | 9.72% | $0.26 | ||
| Claude Haiku 5.5 | medium | 9.44% | $0.01 | ||
| | minimal | 8.89% | $0.11 | ||
| Claude Opus 4 | thinking 16k | 8.61% | $1.93 | ||
| Claude Opus 4.5 | thinking, none | 7.78% | $0.22 | ||
| GPT-5 | medium | 7.49% | $0.45 | ||
| GPT-5.6 Luna | medium | 7.36% | $0.02 | ||
| GPT-5.6 Luna | medium | 7.36% | $0.11 | ||
| Claude Sonnet 4.5 | thinking 8k | 6.94% | $0.23 | ||
| Claude Sonnet 4.5 | thinking 16k | 6.94% | $0.35 | ||
| o3 | high | 6.53% | $0.83 | ||
| GPT-5.1 | thinking, medium | 6.53% | $0.42 | ||
| Beam 1.0 | medium | 6.39% | $0.18 | ||
| tiny-recursion-model | 6.25% | $2.10 | |||
| o4-mini | high | 6.11% | $0.86 | ||
| Claude Sonnet 4 | thinking 16k | 5.93% | $0.49 | ||
| Claude Sonnet 4.5 | thinking 1k | 5.83% | $0.14 | ||
| GPT-5.4 Nano | xhigh | 5.69% | $0.16 | ||
| Grok 4 Fast | 5.28% | $0.06 | |||
| | medium | 5.28% | $0.04 | ||
| GPT-5.6 Luna | low | 5.14% | $0.07 | ||
| | low | 4.86% | $0.06 | ||
| | thinking 32k | 4.86% | $0.76 | ||
| o3-pro | high | 4.86% | $7.55 | ||
| GLM-5 | 4.86% | $0.27 | |||
| | 4.86% | $0.17 | |||
| GPT-6 Luna | low | 4.58% | $0.005 | ||
| Claude Opus 4 | thinking 8k | 4.52% | $1.16 | ||
| GPT-5 mini | high | 4.44% | $0.20 | ||
| GPT-5.4 Mini | medium | 4.44% | $0.33 | ||
| | thinking 16k | 4.03% | $0.71 | ||
| GPT-5 mini | medium | 4.03% | $0.06 | ||
| Claude Haiku 4.5 | thinking 32k | 4.03% | $0.38 | ||
| | 4.03% | $0.12 | |||
| | minimal | 4.03% | $0.05 | ||
| Claude Sonnet 4.5 | 3.75% | $0.13 | |||
| GPT-5.6 Luna | low | 3.61% | $0.01 | ||
| GPT-5.4 Nano | high | 3.61% | $0.13 | ||
| | minimal | 3.33% | $0.02 | ||
| o3-mini | high | 2.99% | $0.55 | ||
| o3 | medium | 2.98% | $0.48 | ||
| | thinking 8k | 2.92% | $0.44 | ||
| Claude Haiku 4.5 | thinking 16k | 2.78% | $0.14 | ||
| Beam 1.0 | low | 2.78% | $0.10 | ||
| Claude Haiku 5.5 | low | 2.78% | $0.008 | ||
| | minimal | 2.64% | $0.07 | ||
| GPT-5 nano | high | 2.61% | $0.03 | ||
| | thinking 24k | 2.54% | $0.32 | ||
| o4-mini | medium | 2.36% | $0.23 | ||
| | thinking 1k | 2.16% | $0.03 | ||
| | thinking 8k | 2.12% | $0.20 | ||
| Claude Sonnet 4 | thinking 8k | 2.12% | $0.27 | ||
| | none | 2.08% | $0.004 | ||
| | none | 2.08% | $0.01 | ||
| o3-mini | medium | 2.08% | $0.28 | ||
| o3-pro | low | 2.05% | $2.23 | ||
| o3 | low | 1.99% | $0.23 | ||
| | thinking 16k | 1.98% | $0.32 | ||
| | medium | 1.94% | $0.02 | ||
| o3-pro | medium | 1.94% | $4.74 | ||
| GPT-5 | low | 1.94% | $0.19 | ||
| GPT-5.1 | thinking, low | 1.94% | $0.13 | ||
| GPT-5.4 Nano | medium | 1.94% | $0.06 | ||
| | 1.69% | $0.06 | |||
| o4-mini | low | 1.67% | $0.05 | ||
| GPT-5 mini | minimal | 1.67% | $0.009 | ||
| Claude Haiku 4.5 | thinking 8k | 1.67% | $0.09 | ||
| GPT-6 Sol | none | 1.67% | $0.07 | ||
| GPT-5.4 Nano | low | 1.53% | $0.01 | ||
| | low | 1.53% | $0.02 | ||
| | none | 1.53% | $0.06 | ||
| | high | 1.53% | $0.04 | ||
| | 1.30% | $0.004 | |||
| | 1.30% | $0.08 | |||
| codex-mini-2025-05-16 | 1.27% | $0.23 | |||
| Claude Opus 4 | 1.27% | $0.64 | |||
| Claude Sonnet 4 | 1.27% | $0.13 | |||
| | 1.25% | $0.004 | |||
| Claude Haiku 4.5 | 1.25% | $0.04 | |||
| Claude Haiku 4.5 | thinking 1k | 1.25% | $0.05 | ||
| | low | 1.25% | $0.02 | ||
| | none | 1.25% | $0.01 | ||
| | 1.12% | $0.05 | |||
| GPT-5.4 Mini | low | 1.11% | $0.06 | ||
| Claude 3.7 Sonnet | 8k | 0.90% | $0.36 | ||
| GPT-5 nano | medium | 0.88% | $0.01 | ||
| Claude Sonnet 4 | thinking 1k | 0.85% | $0.14 | ||
| GPT-5.6 Luna | none | 0.83% | $0.008 | ||
| | minimal | 0.83% | $0.01 | ||
| | none | 0.83% | $0.04 | ||
| | none | 0.83% | $0.006 | ||
| o1-mini | 0.83% | $0.19 | |||
| GPT-5 mini | low | 0.83% | $0.02 | ||
| GPT-5.2 | 0.83% | $0.08 | |||
| | 0.80% | $0.04 | |||
| GPT-4.5 | 0.80% | $2.10 | |||
| Claude 3.7 Sonnet | 16k | 0.70% | $0.51 | ||
| Grok-3 mini | low | 0.42% | $0.01 | ||
| GPT-4.1 | 0.42% | $0.07 | |||
| GPT-5.1 | thinking, none | 0.42% | $0.06 | ||
| Claude 3.7 Sonnet | 1k | 0.40% | $0.14 | ||
| GPT-4o mini | 0% | $0.01 | |||
| GPT-4o Nov 2024 | 0% | $0.08 | |||
| o3-mini | low | 0% | $0.06 | ||
| Claude 3.7 Sonnet | 0% | $0.12 | |||
| | 0% | $0.01 | |||
| | 0% | $0.006 | |||
| Grok 3 | 0% | $0.14 | |||
| GPT-4.1 mini | 0% | $0.01 | |||
| GPT-4.1 nano | 0% | $0.004 | |||
| Claude Opus 4 | thinking 1k | 0% | $0.75 | ||
| | thinking 1k | 0% | $0.09 | ||
| | 0% | $0.11 | |||
| | thinking | 0% | $0.12 | ||
| | 0% | $0.05 | |||
| GPT-5 | minimal | 0% | $0.06 | ||
| GPT-5 nano | low | 0% | $0.003 | ||
| GPT-5 nano | minimal | 0% | $0.003 | ||
| | none | 0% | $0.01 | ||
| GPT-6 Luna | none | 0% | $0.004 |
14 models have held number one on the official leaderboard since its release in March 2025 14 models have held number one with claims included since its release in March 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official ARC-AGI-2 leaderboard and labs’ model cards
GPT-5.5 on the official leaderboard passed 85% in April 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official ARC-AGI-2 leaderboard, labs’ model cards and claims collected by Epoch AI (CC BY 4.0)
2 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Sep 1, 2026 | Claude Fable 5.1 | 90 | ARC-AGI-2 |
| Jul 30, 2026 | 40.1 | ARC-AGI-2 | |
| Jul 24, 2026 | Claude Opus 5 | 90.4 | ARC-AGI-2 |
| May 19, 2026 | 72.1 | ARC-AGI-2 | |
| May 14, 2026 | 66.2 | ARC-AGI-V2 (xhigh) | |
| Apr 23, 2026 | GPT-5.5 | 85 | ARC-AGI-2 (Verified) |
| Apr 16, 2026 | Claude Opus 4.7 | 75.8 | ARC-AGI-2 |
| Apr 8, 2026 | 42.5 | ARC AGI 2 (Abstract Reasoning Puzzles (Public)) | |
| Mar 5, 2026 | GPT-5.4 Pro | 83.3 | ARC-AGI-2 (Verified) |
| Mar 5, 2026 | GPT-5.4 | 73.3 | ARC-AGI-2 (Verified) |
| Feb 19, 2026 | 77.1 | ARC-AGI-2 (ARC Prize Verified) | |
| Feb 17, 2026 | Claude Sonnet 4.6 | 58.3 | Novel problem-solving ARC-AGI-2 |
| Feb 14, 2026 | 37.5 | ARC-AGI-2 (text) 37.5 / ArcAGI2-Image 43.3 | |
| Feb 12, 2026 | 84.6 | ARC-AGI-2 (verified by the ARC Prize Foundation) | |
| Feb 10, 2026 | 19.3 | ARC-AGI-V2 (Pass@4) | |
| Feb 5, 2026 | Claude Opus 4.6 | 68.8 | Novel problem-solving ARC AGI 2 |
| Dec 17, 2025 | 33.6 | ARC-AGI-2 (ARC Prize Verified) | |
| Dec 11, 2025 | GPT-5.2 Pro | 54.2 | ARC-AGI-2 (Verified), high |
| Dec 11, 2025 | GPT-5.2 | 52.9 | ARC-AGI-2 (Verified) Abstract reasoning |
| Nov 24, 2025 | Claude Opus 4.5 | 37.6 | Novel problem solving ARC-AGI-2 (Verified) |
| Nov 18, 2025 | 31.1 | ARC-AGI-2 (ARC Prize Verified) | |
| Aug 20, 2025 | 1.45 | ArcAGI V2 (official evaluation set) | |
| Jul 9, 2025 | Grok 4 | 15.9 | ARC-AGI-2 |
12 system cards report it, from 5 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Sep 1, 2026 | Claude Fable 5.1 system card | 90 | ARC-AGI-2 semi-private set, max effort, verified by ARC Prize Foundation (Table 8.1.A) | Capabilities |
| Jul 30, 2026 | | 40.1 | ARC-AGI-2 (5. Evaluations table) | Capabilities |
| Jul 24, 2026 | Claude Opus 5 system card | 90.4 | ARC-AGI-2 semi-private set, max effort, verified by ARC Prize Foundation (90.42%) (Table 8.1.A, 8.14.1) | Capabilities |
| Jun 23, 2026 | | 62.5 | ArcAGI2 (Table 11) | Capabilities |
| Jun 13, 2026 | | 66.2 | ARC-AGI-2 (Pass@2), xhigh (Table 6) | Capabilities |
| May 19, 2026 | | 72.1 | ARC-AGI-2 (results table, p.4) | Capabilities |
| Apr 16, 2026 | Claude Opus 4.7 system card | 75.8 | ARC-AGI-2, max thinking (Table 8.1.A, 8.11) | Capabilities |
| Feb 19, 2026 | | 77.1 | ARC-AGI-2, ARC Prize Verified (results table, p.4) | Capabilities |
| Feb 17, 2026 | Claude Sonnet 4.6 system card | 58.3 | ARC-AGI-2 (Verified), max effort (Table 2.1.A); 60.42 at high effort with 120k thinking tokens per ARC Prize (2.7) | Capabilities |
| Feb 14, 2026 | | 37.5 | ARC-AGI-2, text input (Table 3). ArcAGI2-Image with text and image input 43.3 (Table 8) | Capabilities |
| Feb 5, 2026 | Claude Opus 4.6 system card | 68.8 | ARC-AGI-2 (Verified), adaptive thinking, max effort (Table 2.3.A); ARC Prize reports 69.17 at high effort with 120k thinking tokens on the private set (2.9) | Capabilities |
| Nov 24, 2025 | Claude Opus 4.5 system card | 37.6 | ARC-AGI-2 (Verified), semi-private set, 64k thinking (Table 2.3.A, 2.10) | Capabilities |
The lab's number comes out ahead in 0 of 3 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 15 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| Claude Sonnet 4.6 | 58.3% Novel problem-solving ARC-AGI-2 | 60.4% Leaderboard, high | −2.1 pts |
| GPT-5.4 | 73.3% ARC-AGI-2 (Verified) | 74% Leaderboard, xhigh | −0.7 pts |
| Claude Opus 4.6 | 68.8% Novel problem-solving ARC AGI 2 | 69.2% Leaderboard, 120k, high | −0.4 pts |
| Grok 4 | 15.9% ARC-AGI-2 | 16% Leaderboard, thinking | Same |
| GPT-5.2 Pro | 54.2% ARC-AGI-2 (Verified), high | 54.2% Leaderboard, high | Same |
| Claude Opus 4.5 | 37.6% Novel problem solving ARC-AGI-2 (Verified) | 37.6% Leaderboard, thinking, 64k | Same |
| | 40.1% ARC-AGI-2 | 40.1% Leaderboard, xhigh | Same |
| GPT-5.4 Pro | 83.3% ARC-AGI-2 (Verified) | 83.3% Leaderboard, xhigh | Same |
| | 84.6% ARC-AGI-2 (verified by the ARC Prize Foundation) | 84.6% Leaderboard | Same |
| | 77.1% ARC-AGI-2 (ARC Prize Verified) | 77.1% Leaderboard | Same |
| | 72.1% ARC-AGI-2 | 72.1% Leaderboard, high | Same |
| Claude Opus 5 | 90.4% ARC-AGI-2 | 90.4% Leaderboard, max | Same |
| | 31.1% ARC-AGI-2 (ARC Prize Verified) | 31.1% Leaderboard | Same |
| GPT-5.2 | 52.9% ARC-AGI-2 (Verified) Abstract reasoning | 52.9% Leaderboard, xhigh | Same |
| | 33.6% ARC-AGI-2 (ARC Prize Verified) | 33.6% Leaderboard, high | Same |
| Claude Opus 4.7 | 75.8% ARC-AGI-2 | 75.8% Leaderboard, max | Same |
| GPT-5.5 | 85% ARC-AGI-2 (Verified) | 85% Leaderboard, xhigh | Same |
| Claude Fable 5.1 | 90% ARC-AGI-2 | 90% Leaderboard, max | Same |
2 logged changes that move scores
Changes by the maintainers, so a score from before a change may not compare with one from after it. Newest first, each with the maintainers' own source. The list may be incomplete. What we log.
- Leaderboard rules changed December 5th, 2025
The maintainers added a Model Refinements leaderboard category for systems with application-layer refinement. Readers can distinguish those evaluations from baseline model runs. Source
- Leaderboard rules changed November 4th, 2025
The maintainers introduced certified scores through ARC Prize Verified. Only official evaluations on hidden datasets receive verification, distinguishing them from independently reported results. Source
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Official leaderboards
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