Last verified
ReasoningOfficial + Vendor scoresPrices verified

ARC-AGI-3 leaderboard

As of November 8, 2026, GPT-6 Astra (OpenAI) leads ARC-AGI-3 at 62.7%, ahead of GPT-6.1 Sol at 52.7% and Gemini 4 Argon at 49.8%. 24 systems ranked. All 24 scores on the main board come from ARC Prize Foundation, not from the labs that make the models.

Top score
62.7%
GPT-6 Astra
Systems ranked
24
across 3 settings
Independent rows
35/37
official leaderboard
Cheapest near top
$6.82/1M
GPT-6 Astra · within 5 pts
With API prices
22/24
rates from our price index
Newest score
Oct 17
2026 · newest result

What is ARC-AGI-3? ARC-AGI-3 is an interactive reasoning benchmark: the agent plays turn-based grid games with no instructions and has to work out the rules and the goal by exploring. Made by ARC Prize Foundation, March 2026.

§ 01 / LEADERBOARD

Top models on ARC-AGI-3, November 2026

24 entries · Standard harness

ARC Prize's minimal, provider-neutral interface: the model keeps its own notes.

# Model Score Price / 1M Context Source
1 GPT-6 Astra OpenAI
62.7%
ARC Prize verified, best result
$10 / $50 1.05M Official leaderboard ARC Prize Foundation
2 GPT-6.1 Sol OpenAI
52.7%
ARC Prize verified, best result
$2 / $10 1.05M Official leaderboard ARC Prize Foundation
3 Gemini 4 Argon Google DeepMind
49.8%
ARC Prize verified, best result
$2 / $10 1M Official leaderboard ARC Prize Foundation
4 Claude Opus 5 Anthropic
30.2%
ARC Prize verified, best result
$5 / $25 1M Official leaderboard ARC Prize Foundation
5 Claude Sonnet 5.5 Anthropic
24.3%
ARC Prize verified, best result
$2 / $10 1M Official leaderboard ARC Prize Foundation
6 Gemini 3.8 Flash Google DeepMind
10.4%
ARC Prize verified, best result
$0.75 / $3.75 1M Official leaderboard ARC Prize Foundation
7 GPT-5.6 Sol OpenAI
7.8%
ARC Prize verified, best result
$4 / $20 1.05M Official leaderboard ARC Prize Foundation
8 GPT-6 Sol OpenAI
4.6%
ARC Prize verified, best result
$2 / $10 1.05M Official leaderboard ARC Prize Foundation
9 Grok 4.6 SpaceXSI
2.1%
ARC Prize verified, best result
$2 / $6 500K Official leaderboard ARC Prize Foundation
10 Grok 4.7 SpaceXSI
1.8%
ARC Prize verified, best result
$2 / $6 500K Official leaderboard ARC Prize Foundation
11 Claude Opus 4.8 Anthropic
1.5%
ARC Prize verified, best result
$5 / $25 1M Official leaderboard ARC Prize Foundation
12 GPT-5.6 Terra OpenAI
0.8%
ARC Prize verified, best result
$2 / $12 1.05M Official leaderboard ARC Prize Foundation
13 Claude Haiku 5.5 Anthropic
0.5%
ARC Prize verified, best result
$0.1 / $0.5 1M Official leaderboard ARC Prize Foundation
13 Claude Opus 4.6 Anthropic · listed as “Anthropic Opus 4.6”
0.5%
ARC Prize verified, best result
$5 / $25 1M Official leaderboard ARC Prize Foundation
15 Gemini 3.1 Pro Preview Preview Google
0.4%
ARC Prize verified, best result
$2 / $12 1M Official leaderboard ARC Prize Foundation
15 GPT-5.5 OpenAI
0.4%
ARC Prize verified, best result
$5 / $30 1M Official leaderboard ARC Prize Foundation
17 Grok 4.5 SpaceXSI
0.3%
ARC Prize verified, best result
$2 / $6 500K Official leaderboard ARC Prize Foundation
18 Claude Opus 4.7 Anthropic · listed as “Opus 4.7”
0.2%
ARC Prize verified, best result
$5 / $25 1M Official leaderboard ARC Prize Foundation
18 DeepSeek V4.1 Flash DeepSeek · listed as “DeepSeek V4.1 Flash 1017”
0.2%
ARC Prize verified, best result
$0.3 / $1.2 1M Official leaderboard ARC Prize Foundation
18 GPT-5.4 OpenAI
0.2%
ARC Prize verified, best result
$2.5 / $15 1.05M Official leaderboard ARC Prize Foundation
18 GPT-5.6 Luna OpenAI
0.2%
ARC Prize verified, best result
$0.2 / $1.2 1.05M Official leaderboard ARC Prize Foundation
18 GPT-6 Luna OpenAI
0.2%
ARC Prize verified, best result
$0.1 / $0.5 1.05M Official leaderboard ARC Prize Foundation
23 Grok 4.20 (Beta Reasoning) Not in our price index
0.1%
ARC Prize verified, best result
— — Official leaderboard ARC Prize Foundation
23 Muse Spark Open Not in our price index
0.1%
ARC Prize verified, best result
— — Official leaderboard ARC Prize Foundation
§ 02 / OTHER SETTINGS

ARC-AGI-3 under other settings

Labs report ARC-AGI-3 under different settings, and a score from one setting is not comparable with a score from another. Each setting has its own table, ranked on its own.

02.1

Provider adapter

11 entries

The provider's own context management (reasoning state kept between turns, compaction).

# Model Score Price / 1M Context Source
1 GPT-6 Astra OpenAI
99.9%
ARC Prize verified, best result
$10 / $50 1.05M Official leaderboard ARC Prize Foundation
2 Gemini 4 Argon Google DeepMind
97.5%
ARC Prize verified, best result
$2 / $10 1M Official leaderboard ARC Prize Foundation
3 GPT-6.1 Sol OpenAI
96.4%
ARC Prize verified, best result
$2 / $10 1.05M Official leaderboard ARC Prize Foundation
4 Claude Sonnet 5.5 Anthropic
72.4%
ARC Prize verified, best result
$2 / $10 1M Official leaderboard ARC Prize Foundation
5 Gemini 3.8 Flash Google DeepMind
35%
ARC Prize verified, best result
$0.75 / $3.75 1M Official leaderboard ARC Prize Foundation
6 GPT-6 Sol OpenAI
23%
ARC Prize verified, best result
$2 / $10 1.05M Official leaderboard ARC Prize Foundation
7 Grok 4.7 SpaceXSI
10%
ARC Prize verified, best result
$2 / $6 500K Official leaderboard ARC Prize Foundation
8 DeepSeek V4.1 Flash DeepSeek · listed as “DeepSeek V4.1 Flash 1017”
5.8%
ARC Prize verified, best result
$0.3 / $1.2 1M Official leaderboard ARC Prize Foundation
9 Claude Haiku 5.5 Anthropic
2.8%
ARC Prize verified, best result
$0.1 / $0.5 1M Official leaderboard ARC Prize Foundation
10 GPT-6 Luna OpenAI
0.6%
ARC Prize verified, best result
$0.1 / $0.5 1.05M Official leaderboard ARC Prize Foundation
11 Muse Spark Open Not in our price index
0.4%
ARC Prize verified, best result
— — Official leaderboard ARC Prize Foundation
02.2

Harness not stated

2 entries

Lab-reported numbers that do not say which harness they used.

# Model Score Price / 1M Context Source
1 GPT-6 Astra OpenAI
99.9%
as reported
$10 / $50 1.05M Vendor-reported OpenAI
2 GPT-5.6 Sol OpenAI
7.8%
as reported
$4 / $20 1.05M Vendor-reported OpenAI
§ 03 / SCORE VS PRICE

ARC-AGI-3: score against price

0% 20% 40% 60% $0.1 $0.3 $1 $3 $10 Effective price per 1M tokens (log scale) Score GPT-6 Luna: 0.2% at $0.0682DeepSeek V4.1 Flash: 0.2% at $0.15GPT-5.6 Luna: 0.2% at $0.152Grok 4.5: 0.3% at $1.04Grok 4.6: 2.1% at $1.19Grok 4.7: 1.8% at $1.19Claude Sonnet 5.5: 24.3% at $1.29GPT-6 Sol: 4.6% at $1.36Gemini 3.1 Pro Preview: 0.4% at $1.44GPT-5.6 Terra: 0.8% at $1.52GPT-5.4: 0.2% at $1.8GPT-5.6 Sol: 7.8% at $2.73Claude Opus 5: 30.2% at $3.41Claude Opus 4.8: 1.5% at $3.41Claude Opus 4.6: 0.5% at $3.41Claude Opus 4.7: 0.2% at $3.41GPT-5.5: 0.4% at $3.61 Claude Haiku 5.5: 0.5% at $0.0682 Claude Haiku 5.5 Gemini 3.8 Flash: 10.4% at $0.481 Gemini 3.8 Flash Gemini 4 Argon: 49.8% at $1.21 Gemini 4 Argon GPT-6.1 Sol: 52.7% at $1.29 GPT-6.1 Sol GPT-6 Astra: 62.7% at $6.82 GPT-6 Astra
The dashed line joins the models that no cheaper model beats: Claude Haiku 5.5 (0.5%, $0.0682 per 1M tokens), Gemini 3.8 Flash (10.4%, $0.481 per 1M tokens), Gemini 4 Argon (49.8%, $1.21 per 1M tokens), GPT-6.1 Sol (52.7%, $1.29 per 1M tokens) and GPT-6 Astra (62.7%, $6.82 per 1M tokens). Anything below the line costs more for a lower score. Price is the effective rate per 1M tokens on current list prices: 92% input, 8% output, 82% of input served from cache.
§ 04 / PROVENANCE

Can you trust ARC-AGI-3 scores?

35 scores on this page come from the benchmark's own leaderboard (ARC Prize Foundation), where every model runs on the same harness. The other 2 are labs' reports on their own models.

§ 05 / HOW IT WORKS

How ARC-AGI-3 works

The task

The agent acts in a 2D grid environment with no stated goal. It has to explore, discover what the controls do and what winning means, and clear increasingly hard levels.

The score

Action efficiency against people: each level scores by how few actions the agent needed compared with a human baseline, capped, then averaged per game and across games.

Test set

The authors do not publish a single task count for this version.

Made by

ARC Prize Foundation, first published March 2026.

Official sources

§ 06 / SOURCES

Sources and freshness

37 published scores from 2 sources. Each was read on its source page; the oldest reading on this page is from November 8, 2026. Prices beside each score come from our model price index and move when a vendor reprices.

ARC-AGI-3 FAQ

Answers derived from the 37 published scores on this page and the current price index.

Q · 01

Which AI model has the highest ARC-AGI-3 score?

+
GPT-6 Astra with 62.7% (ARC Prize verified, best result), on ARC Prize Foundation's own leaderboard on September 2, 2026. Next: GPT-6.1 Sol at 52.7% and Gemini 4 Argon at 49.8%.
Q · 02

What is the cheapest model near the top of ARC-AGI-3?

+
The leader itself. No priced model within 5 points of GPT-6 Astra is cheaper: it runs at $6.82 per 1M tokens on our effective blend ($10 input, $50 output).
Q · 03

Are these ARC-AGI-3 scores independently verified?

+
35 of 37 published scores come from ARC Prize Foundation; the other 2 are vendor reports. Each row carries a badge that says which, and a link to the source.
Q · 04

What does ARC-AGI-3 measure?

+
ARC-AGI-3 is an interactive reasoning benchmark: the agent plays turn-based grid games with no instructions and has to work out the rules and the goal by exploring. The agent acts in a 2D grid environment with no stated goal. It has to explore, discover what the controls do and what winning means, and clear increasingly hard levels.
Q · 05

How is the ARC-AGI-3 score calculated?

+
Action efficiency against people: each level scores by how few actions the agent needed compared with a human baseline, capped, then averaged per game and across games.
Q · 06

How current is this ARC-AGI-3 leaderboard?

+
The newest score was published on October 17, 2026. Every row shows the date its source published it, and we last read all of them on November 8, 2026. Prices come from our model price index, where each rate carries the date it was read on the vendor's page.

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