GPT-6 Series

OpenAI·Sep 2, 2026·3 models·36 reasoning variants

Compare GPT-6 Astra, Sol, and Luna across v1, v2, and v3, including all published reasoning levels and v3 results with the Standard harness and Provider Adapter harness.

Series:GPT-6 Astra· GPT-6 Sol· GPT-6 Luna

ARC-AGI 3 leaderboard

GPT-6 AstraGPT-6 Astra - Provider AdapterGPT-6 SolGPT-6 Sol - Provider AdapterGPT-6 LunaGPT-6 Luna - Provider Adapter

Verified scores

Model	Variant	ARC-AGI-1	ARC-AGI-2	ARC-AGI-3(Standard harness)	ARC-AGI-3(Provider Adapter harness)
Astra	Max	97.5%	95.0%	62.71%	98.55%
	XHigh	98.5%	93.3%	59.34%	98.44%
	High	98.5%	92.1%	54.82%	99.95%
	Medium	97.5%	92.1%	38.59%	98.44%
	Low	96.5%	85.4%	17.45%	98.03%
	None	86.0%	59.6%	35.18%	96.72%
Sol	Max	95.5%	89.6%	4.62%	23.03%
	XHigh	92.7%	78.1%	1.80%	9.45%
	High	91.0%	68.9%	0.90%	5.86%
	Medium	83.7%	57.8%	0.42%	4.93%
	Low	72.2%	31.5%	0.13%	1.76%
	None	29.3%	1.7%	0.28%	1.21%
Luna	Max	86.7%	59.3%	0.10%	0.59%
	XHigh	73.0%	41.9%	0.16%	0.51%
	High	70.3%	31.4%	0.18%	0.38%
	Medium	61.0%	18.1%	0.19%	0.32%
	Low	37.7%	4.6%	0.03%	0.24%
	None	8.8%	0.0%	0.03%	0.05%

Tasks & environments

Pass/fail per reasoning level across each benchmark.

Model

ARC-AGI-3 Public Demo - Standard harness

25 environments


AR25	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
CN04	100.0%	100.0%	100.0%	100.0%	58.8%	85.7%
DC22	100.0%	56.7%	98.1%	56.4%	71.4%	57.4%
FT09	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
LP85	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
R11L	100.0%	100.0%	100.0%	100.0%	14.3%	100.0%
S5I5	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
SB26	100.0%	100.0%	100.0%	100.0%	2.8%	100.0%
SP80	100.0%	100.0%	100.0%	86.0%	45.4%	93.9%
TR87	100.0%	100.0%	100.0%	100.0%	51.4%	100.0%
LS20	83.5%	43.6%	32.4%	18.2%	3.6%	26.4%
CD82	82.9%	73.0%	100.0%	38.4%	0.0%	70.2%
WA30	80.0%	59.1%	46.7%	46.7%	42.7%	80.0%
RE86	77.8%	77.8%	77.8%	58.3%	58.3%	58.3%
KA59	75.0%	75.0%	75.0%	53.6%	43.9%	53.6%
VC33	73.3%	35.7%	50.7%	41.6%	53.6%	35.7%
M0R0	71.4%	71.4%	71.4%	67.6%	20.4%	71.4%
TN36	53.6%	53.6%	53.6%	3.6%	53.6%	42.3%
SC25	47.6%	47.6%	47.6%	38.3%	10.8%	0.0%
SU15	27.4%	22.2%	41.6%	32.9%	13.3%	7.7%
SK48	19.7%	12.1%	19.4%	10.3%	21.1%	11.1%
LF52	10.9%	7.4%	10.9%	2.9%	2.2%	5.5%
TU93	3.1%	6.7%	2.2%	2.7%	2.2%	2.2%
BP35	2.2%	2.2%	2.2%	2.2%	0.4%	1.9%
G50T	0.0%	0.0%	0.0%	0.0%	0.0%	3.0%

ARC-AGI-3 Public Demo - Provider Adapter harness

25 environments


AR25	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
BP35	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
CD82	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
CN04	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
DC22	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
FT09	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
G50T	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
KA59	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
LF52	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
LP85	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
LS20	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
M0R0	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
R11L	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
RE86	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
S5I5	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
SB26	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
SC25	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
SK48	100.0%	100.0%	100.0%	100.0%	100.0%	27.8%
SP80	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
SU15	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
TN36	100.0%	100.0%	91.8%	100.0%	88.8%	100.0%
TR87	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
TU93	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
VC33	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%
WA30	100.0%	100.0%	100.0%	100.0%	100.0%	100.0%

ARC-AGI-2 Public Eval

120 tasks

Task	Max	XHigh	High	Medium	Low	None
0934a4d8	✓	✓	✓	✓	✓	✓
135a2760	✓	✓	✓	✓	✓	✓
136b0064	✓	✓	✓	✓	✓	✓
13e47133	✓	✓	✓	✓	✓	✗
142ca369	✓	✓	✓	✓	✓	✗
16b78196	✓	✓	✓	✓	✓	✗
16de56c4	✓	✓	✓	✓	✓	✓
1818057f	✓	✓	✓	✓	✓	✓
195c6913	✓	✓	✓	✓	✓	✗
1ae2feb7	✓	✓	✓	✓	✓	✓
20270e3b	✓	✓	✓	✓	✓	✗
20a9e565	✓	✓	✓	✓	✓	✗
21897d95	✓	✓	✓	✓	✓	✗
221dfab4	✓	✓	✓	✓	✓	✗
247ef758	✓	✓	✓	✓	✓	✗
269e22fb	✓	✓	✓	✓	✓	✗
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28a6681f	✓	✓	✓	✓	✓	✗
291dc1e1	✓	✓	✓	✓	✗	✗
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2ba387bc	✓	✓	✓	✓	✓	✓
2c181942	✓	✓	✓	✓	✓	✓
2d0172a1	✓	✓	✓	✓	✓	✓
31f7f899	✓	✓	✓	✓	✓	✓
332f06d7	✓	✓	✓	✓	✓	✓
35ab12c3	✓	✓	✓	✓	✓	✓
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3e6067c3	✓	✓	✓	✓	✓	✓
409aa875	✓	✓	✓	✓	✓	✗
446ef5d2	✓	✓	✓	✓	✓	✗
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5dbc8537	✓	✓	✓	✓	✓	✗
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800d221b	✓	✓	✓	✗	✓	✓
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8698868d	✓	✓	✓	✓	✓	✗
88bcf3b4	✓	✓	✓	✓	✓	✗
88e364bc	✗	✗	✗	✗	✗	✗
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898e7135	✓	✓	✓	✓	✓	✗
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8b9c3697	✓	✓	✓	✓	✓	✓
8e5c0c38	✓	✓	✓	✓	✓	✗
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97d7923e	✓	✓	✓	✓	✓	✓
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a251c730	✓	✓	✓	✓	✓	✓
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c4d067a0	✓	✓	✓	✓	✓	✓
c7f57c3e	✓	✓	✓	✓	✓	✓
cb2d8a2c	✓	✓	✓	✓	✓	✗
cbebaa4b	✓	✓	✓	✓	✓	✗
d35bdbdc	✓	✓	✓	✓	✓	✗
d59b0160	✓	✓	✓	✓	✓	✓
d8e07eb2	✓	✓	✓	✓	✓	✓
da515329	✗	✓	✓	✓	✗	✗
db0c5428	✓	✓	✓	✓	✓	✓
db695cfb	✓	✓	✓	✓	✓	✗
dbff022c	✗	✗	✗	✗	✗	✗
dd6b8c4b	✓	✓	✓	✓	✓	✗
de809cff	✓	✓	✓	✓	✓	✓
dfadab01	✓	✓	✓	✓	✓	✗
e12f9a14	✗	✓	✓	✓	✓	✗
e3721c99	✓	✓	✓	✓	✓	✓
e376de54	✓	✓	✓	✓	✓	✓
e8686506	✓	✓	✓	✓	✓	✓
e87109e9	✓	✓	✓	✓	✓	✓
edb79dae	✓	✓	✓	✓	✓	✓
eee78d87	✓	✓	✓	✓	✓	✓
f560132c	✓	✓	✓	✓	✓	✗
f931b4a8	✓	✓	✓	✓	✓	✗
faa9f03d	✓	✗	✗	✗	✓	✗
fc7cae8d	✓	✓	✓	✓	✓	✓

ARC-AGI-1 Public Eval

400 tasks

Task	Max	XHigh	High	Medium	Low	None
00576224	✓	✓	✓	✓	✓	✓
009d5c81	✓	✓	✓	✓	✓	✓
00dbd492	✓	✓	✓	✓	✓	✓
03560426	✓	✓	✓	✓	✓	✓
05a7bcf2	✓	✓	✓	✓	✓	✓
0607ce86	✓	✓	✓	✓	✓	✓
0692e18c	✓	✓	✓	✓	✓	✓
070dd51e	✗	✓	✓	✓	✓	✓
08573cc6	✓	✓	✓	✓	✓	✗
0934a4d8	✓	✓	✓	✓	✓	✓
09c534e7	✓	✓	✓	✓	✓	✓
0a1d4ef5	✓	✓	✓	✓	✓	✓
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0b17323b	✓	✓	✓	✓	✓	✓
0bb8deee	✓	✓	✓	✓	✓	✓
0becf7df	✓	✓	✓	✓	✓	✓
0c786b71	✓	✓	✓	✓	✓	✓
0c9aba6e	✓	✓	✓	✓	✓	✓
0d87d2a6	✗	✗	✗	✗	✗	✗
0e671a1a	✓	✓	✓	✓	✓	✓
0f63c0b9	✓	✓	✓	✓	✓	✓
103eff5b	✓	✓	✓	✓	✓	✓
11e1fe23	✗	✓	✗	✗	✓	✓
12422b43	✓	✓	✓	✓	✓	✓
12997ef3	✓	✓	✓	✓	✓	✓
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136b0064	✓	✓	✓	✓	✓	✓
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15113be4	✓	✓	✓	✓	✓	✓
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16b78196	✓	✓	✓	✓	✓	✗
17b80ad2	✓	✓	✓	✓	✓	✓
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18419cfa	✓	✓	✓	✓	✓	✓
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1990f7a8	✓	✓	✓	✓	✓	✓
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1a2e2828	✓	✓	✓	✓	✓	✓
1a6449f1	✓	✓	✓	✓	✓	✓
1acc24af	✓	✓	✓	✓	✗	✓
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1c0d0a4b	✓	✓	✓	✓	✓	✓
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2037f2c7	✓	✓	✓	✓	✓	✓
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42918530	✓	✓	✓	✓	✓	✓
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456873bc	✓	✓	✓	✓	✓	✓
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GPT-6 Series

ARC-AGI 3 leaderboard

Verified scores

Tasks & environments

ARC-AGI-3 Public Demo - Standard harnessStandard harness enables a model to carry forward notes it chooses to keep with it throughout the environment.

ARC-AGI-3 Public Demo - Provider Adapter harnessThe Provider Adapter harness preserves opaque reasoning state between requests and uses compaction for longer conversations, allowing the model to reuse prior work.

ARC-AGI-2 Public Eval

ARC-AGI-1 Public Eval

ARC Prize 2026

ARC Prize: Newsletter

ARC-AGI-3 Public Demo - Standard harness

ARC-AGI-3 Public Demo - Provider Adapter harness