GPT-6 Sol

OpenAI·Sep 22, 2026·12 harness configurations·$2 input / $10 output per 1M tokens

GPT-6 Sol's best semi-private scores are 95.5% on v1 and 89.6% on v2, both at max reasoning. On v3, it reaches 4.6% with the Standard harness at max reasoning and 23.0% with the Provider Adapter harness at max reasoning.

Related models: GPT-5.6 Sol, GPT-6 Luna, GPT-6 Astra

ARC-AGI 3 leaderboard

GPT-6 SolGPT-6 Sol - Provider Adapter

Verified scores

Variant	ARC-AGI-1	ARC-AGI-2	ARC-AGI-3(Standard harness)	ARC-AGI-3(Provider Adapter harness)
Max	95.5%	89.6%	4.6%	23.0%
XHigh	92.7%	78.1%	1.8%	9.5%
High	91.0%	68.9%	0.9%	5.9%
Medium	83.7%	57.8%	0.4%	4.9%
Low	72.2%	31.5%	0.1%	1.8%
None	29.3%	1.7%	0.3%	1.2%

Tasks & environments

Pass/fail per reasoning level across each benchmark.

ARC-AGI-3 Public Demo - Standard harness

25 environments


FT09	96.7%	38.4%	4.8%	14.3%	0.0%	0.0%
LP85	69.6%	36.6%	2.8%	2.0%	2.8%	2.8%
DC22	23.0%	0.0%	0.0%	0.0%	0.0%	0.0%
SC25	19.0%	2.7%	6.4%	0.2%	0.0%	0.0%
RE86	16.7%	8.3%	2.8%	0.2%	0.0%	0.0%
AR25	8.3%	6.0%	0.0%	0.0%	0.0%	0.1%
S5I5	7.5%	1.7%	0.0%	0.0%	0.0%	0.0%
VC33	5.9%	0.0%	0.0%	0.0%	0.2%	0.0%
SP80	4.8%	4.8%	0.2%	0.0%	0.0%	0.0%
M0R0	4.2%	4.5%	1.3%	3.5%	0.3%	2.3%
TN36	3.2%	5.2%	3.6%	3.6%	3.6%	3.6%
R11L	2.3%	4.8%	0.7%	0.0%	4.8%	0.0%
LF52	1.8%	0.1%	0.0%	0.0%	0.1%	0.0%
KA59	1.7%	3.6%	0.7%	2.4%	0.0%	2.7%
CN04	1.2%	4.8%	3.7%	0.0%	0.0%	0.0%
LS20	0.8%	0.0%	0.5%	0.0%	0.0%	0.0%
SB26	0.5%	0.0%	2.8%	0.0%	0.0%	0.3%
SK48	0.2%	0.0%	0.0%	0.0%	0.0%	0.0%
WA30	0.1%	0.0%	0.0%	0.0%	0.0%	0.0%
BP35	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
CD82	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
G50T	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
SU15	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
TR87	0.0%	0.0%	0.0%	0.0%	0.0%	0.0%
TU93	0.0%	0.4%	0.0%	0.0%	0.0%	0.0%

ARC-AGI-3 Public Demo - Provider Adapter harness

25 environments


AR25	100.0%	40.2%	4.2%	2.8%	2.8%	1.3%
LP85	100.0%	41.7%	50.6%	36.9%	2.8%	2.8%
FT09	95.5%	67.6%	28.6%	14.8%	28.6%	14.3%
S5I5	91.9%	14.7%	15.7%	0.0%	0.0%	0.0%
TR87	80.3%	30.1%	14.3%	0.5%	0.0%	0.0%
CN04	66.6%	4.8%	47.6%	43.0%	0.6%	0.0%
M0R0	56.3%	14.1%	14.3%	12.4%	14.3%	2.3%
SP80	56.0%	14.3%	7.1%	8.6%	14.1%	4.8%
SC25	50.1%	21.5%	8.4%	15.5%	14.1%	0.0%
VC33	48.9%	10.8%	0.6%	0.0%	0.0%	0.0%
DC22	47.6%	17.6%	16.2%	17.9%	0.4%	4.9%
CD82	47.0%	3.1%	6.2%	1.8%	0.9%	0.0%
RE86	41.7%	33.6%	15.0%	4.6%	2.2%	0.0%
R11L	35.0%	58.8%	28.6%	4.4%	0.0%	0.8%
KA59	19.1%	3.6%	8.5%	3.6%	4.7%	0.2%
TN36	15.7%	8.4%	1.7%	16.9%	0.0%	0.0%
WA30	13.3%	8.3%	6.7%	0.1%	5.7%	0.2%
SK48	3.6%	3.4%	2.8%	0.6%	0.0%	0.4%
G50T	3.6%	0.0%	0.0%	0.0%	0.0%	3.6%
LS20	3.6%	2.6%	3.6%	3.6%	0.4%	0.0%
SU15	3.1%	2.2%	0.0%	0.3%	0.6%	0.8%
TU93	2.6%	2.5%	3.8%	5.6%	3.0%	1.9%
LF52	1.8%	1.8%	1.0%	1.7%	1.1%	0.3%
BP35	0.5%	0.4%	0.0%	0.0%	0.0%	0.0%
SB26	0.0%	0.0%	0.0%	2.8%	0.0%	0.0%

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	✓	✓	✗	✗	✗	✗
271d71e2	✓	✓	✗	✗	✗	✗
28a6681f	✓	✓	✓	✗	✗	✗
291dc1e1	✓	✓	✓	✓	✗	✗
2b83f449	✓	✓	✗	✗	✗	✗
2ba387bc	✓	✓	✓	✓	✓	✓
2c181942	✓	✓	✓	✓	✗	✗
2d0172a1	✓	✓	✓	✓	✗	✗
31f7f899	✓	✓	✓	✓	✓	✗
332f06d7	✓	✓	✓	✗	✗	✗
35ab12c3	✓	✓	✗	✓	✗	✗
36a08778	✓	✓	✓	✓	✗	✗
38007db0	✓	✓	✓	✓	✓	✗
3a25b0d8	✓	✓	✗	✗	✗	✗
3dc255db	✓	✓	✓	✗	✗	✗
3e6067c3	✓	✓	✓	✓	✓	✗
409aa875	✓	✓	✓	✓	✗	✗
446ef5d2	✓	✓	✗	✗	✗	✗
45a5af55	✓	✓	✓	✓	✓	✗
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4c3d4a41	✓	✗	✗	✗	✗	✗
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4e34c42c	✓	✗	✗	✗	✗	✗
53fb4810	✓	✓	✓	✓	✓	✗
5545f144	✓	✓	✗	✗	✗	✗
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58490d8a	✓	✓	✓	✓	✓	✓
58f5dbd5	✓	✓	✓	✗	✗	✗
5961cc34	✓	✓	✗	✗	✗	✗
5dbc8537	✗	✗	✓	✗	✗	✗
62593bfd	✓	✓	✓	✗	✗	✗
64efde09	✓	✓	✓	✓	✗	✗
65b59efc	✓	✓	✓	✓	✓	✗
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6e453dd6	✗	✗	✗	✓	✗	✗
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7c66cb00	✓	✓	✗	✗	✗	✗
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800d221b	✗	✗	✗	✗	✗	✗
80a900e0	✓	✓	✓	✗	✗	✗
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88bcf3b4	✓	✓	✗	✗	✗	✗
88e364bc	✓	✗	✗	✗	✗	✗
89565ca0	✓	✓	✗	✗	✗	✗
898e7135	✗	✓	✓	✓	✗	✗
8b7bacbf	✗	✗	✗	✗	✗	✗
8b9c3697	✓	✓	✓	✓	✓	✗
8e5c0c38	✓	✓	✓	✗	✗	✗
8f215267	✓	✓	✓	✓	✓	✗
8f3a5a89	✓	✓	✓	✓	✓	✗
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aa4ec2a5	✓	✓	✓	✗	✗	✗
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b0039139	✓	✓	✓	✗	✗	✗
b10624e5	✓	✓	✗	✓	✗	✗
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b99e7126	✓	✗	✗	✗	✗	✗
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bf45cf4b	✓	✓	✓	✓	✓	✗
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	✓	✓	✓	✓	✓	✓
0a2355a6	✓	✓	✓	✓	✓	✗
0b17323b	✓	✓	✓	✓	✓	✗
0bb8deee	✓	✓	✓	✓	✓	✓
0becf7df	✓	✓	✓	✓	✓	✓
0c786b71	✓	✓	✓	✓	✓	✓
0c9aba6e	✓	✓	✓	✓	✓	✗
0d87d2a6	✗	✗	✗	✗	✗	✗
0e671a1a	✓	✓	✓	✓	✓	✓
0f63c0b9	✓	✓	✓	✓	✓	✓
103eff5b	✓	✓	✓	✓	✓	✗
11e1fe23	✓	✓	✗	✗	✗	✗
12422b43	✓	✓	✓	✓	✓	✓
12997ef3	✓	✓	✓	✓	✓	✓
12eac192	✓	✓	✓	✓	✓	✗
136b0064	✓	✓	✓	✓	✓	✗
13713586	✓	✓	✓	✓	✗	✗
137f0df0	✓	✓	✓	✓	✓	✗
140c817e	✓	✓	✓	✓	✓	✗
14754a24	✓	✓	✓	✗	✗	✗
15113be4	✓	✓	✓	✓	✓	✗
15663ba9	✓	✓	✓	✓	✗	✗
15696249	✓	✓	✓	✓	✓	✓
16b78196	✓	✗	✗	✗	✗	✗
17b80ad2	✓	✓	✓	✓	✗	✗
17cae0c1	✓	✓	✓	✓	✓	✓
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1990f7a8	✓	✓	✓	✓	✓	✓
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1a2e2828	✓	✓	✓	✓	✓	✓
1a6449f1	✓	✓	✓	✓	✓	✗
1acc24af	✓	✗	✗	✗	✗	✓
1c02dbbe	✓	✓	✓	✓	✓	✓
1c0d0a4b	✓	✓	✓	✓	✓	✓
1c56ad9f	✓	✓	✓	✗	✓	✗
1d0a4b61	✓	✓	✓	✓	✓	✓
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1da012fc	✓	✓	✓	✓	✓	✗
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281123b4	✓	✓	✓	✓	✓	✗
292dd178	✓	✓	✓	✓	✓	✓
29700607	✓	✓	✓	✓	✓	✓
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2c0b0aff	✓	✓	✓	✓	✓	✗
2c737e39	✓	✓	✓	✓	✗	✗
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310f3251	✓	✓	✓	✓	✓	✗
3194b014	✓	✓	✓	✓	✓	✓
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31adaf00	✓	✓	✗	✓	✓	✗
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3b4c2228	✓	✓	✓	✓	✓	✓
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3ed85e70	✓	✓	✗	✗	✗	✗
3ee1011a	✓	✓	✓	✓	✓	✓
3f23242b	✓	✓	✓	✓	✓	✗
40f6cd08	✓	✓	✓	✓	✓	✗
414297c0	✓	✓	✓	✓	✓	✗
423a55dc	✓	✓	✓	✓	✓	✗
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GPT-6 Sol

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

Future ARC Prize Competitions

ARC Prize: Newsletter

ARC-AGI-3 Public Demo - Standard harness

ARC-AGI-3 Public Demo - Provider Adapter harness