DeepSeek V4 Flash 0731 在 ARC-AGI 基准上公布验证得分

2026-08-08 03:10· 40分钟前· tosh

AI 导读

DeepSeek V4 Flash 0731 在最大推理强度下，ARC-AGI-1 Semi-Private 得分 89.0%，每任务成本 $0.02；ARC-AGI-2 Semi-Private 得分 61.4%，每任务成本 $0.04。该模型在 ARC-AGI-1 和 ARC-AGI-2 上均提供 Max、High、Low 三档推理强度下的验证分数。

原文 · 未翻译

At max effort, DeepSeek V4 Flash 0731 scores 89.0% on ARC-AGI-1 Semi-Private at $0.02 per task and 61.4% on ARC-AGI-2 Semi-Private at $0.04 per task.

ARC-AGI 2 leaderboard

DeepSeek V4 Flash 0731

Verified scores

Variant	ARC-AGI-1	ARC-AGI-2	ARC-AGI-3
Max	89.0%	61.4%	—
High	87.0%	56.0%	—
Low	84.0%	46.0%	—

Tasks & environments

Pass/fail per reasoning level across each benchmark.

ARC-AGI-2 Public Eval

120 tasks

Task	Max	High	Low
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	✓	✓	✓
4a21e3da	✓	✗	✓
4c3d4a41	✗	✓	✓
4c416de3	✗	✗	✗
4c7dc4dd	✗	✗	✗
4e34c42c	✗	✗	✗
53fb4810	✓	✓	✓
5545f144	✗	✗	✗
581f7754	✗	✗	✗
58490d8a	✓	✓	✓
58f5dbd5	✓	✓	✓
5961cc34	✓	✓	✓
5dbc8537	✓	✗	✗
62593bfd	✗	✗	✗
64efde09	✗	✓	✗
65b59efc	✓	✓	✓
67e490f4	✓	✓	✓
6e453dd6	✓	✓	✓
6e4f6532	✓	✗	✗
6ffbe589	✗	✗	✗
71e489b6	✓	✓	✗
7491f3cf	✓	✗	✓
7666fa5d	✓	✓	✗
78332cb0	✗	✗	✗
7b0280bc	✓	✗	✗
7b3084d4	✓	✓	✗
7b5033c1	✗	✗	✓
7b80bb43	✗	✗	✗
7c66cb00	✗	✗	✓
7ed72f31	✓	✓	✗
800d221b	✗	✗	✗
80a900e0	✓	✓	✓
8698868d	✗	✗	✗
88bcf3b4	✗	✗	✗
88e364bc	✗	✗	✗
89565ca0	✓	✗	✓
898e7135	✓	✓	✓
8b7bacbf	✗	✗	✗
8b9c3697	✓	✗	✗
8e5c0c38	✓	✗	✓
8f215267	✓	✓	✓
8f3a5a89	✓	✓	✓
9385bd28	✓	✓	✗
97d7923e	✓	✗	✓
981571dc	✓	✓	✓
9aaea919	✓	✓	✓
9bbf930d	✗	✗	✗
a251c730	✓	✓	✓
a25697e4	✗	✗	✗
a32d8b75	✗	✗	✗
a395ee82	✓	✓	✓
a47bf94d	✗	✓	✓
a6f40cea	✓	✓	✓
aa4ec2a5	✓	✓	✓
abc82100	✗	✗	✗
b0039139	✓	✗	✓
b10624e5	✓	✓	✓
b5ca7ac4	✓	✓	✓
b6f77b65	✓	✓	✗
b99e7126	✓	✓	✓
b9e38dc0	✗	✗	✗
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	High	Low
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	✓	✓	✓
18419cfa	✓	✓	✓
184a9768	✓	✓	✓
195ba7dc	✓	✓	✓
1990f7a8	✓	✓	✓
19bb5feb	✓	✓	✓
1a2e2828	✓	✓	✓
1a6449f1	✓	✓	✓
1acc24af	✗	✗	✗
1c02dbbe	✓	✓	✓
1c0d0a4b	✓	✓	✓
1c56ad9f	✓	✓	✓
1d0a4b61	✓	✓	✓
1d398264	✓	✓	✓
1da012fc	✓	✓	✓
1e81d6f9	✓	✓	✓
1e97544e	✓	✓	✓
2037f2c7	✓	✓	✓
2072aba6	✓	✓	✓
20818e16	✓	✓	✓
20981f0e	✓	✓	✓
212895b5	✗	✗	✗
21f83797	✓	✓	✓
22a4bbc2	✓	✓	✓
25094a63	✗	✗	✗
2546ccf6	✓	✓	✓
256b0a75	✗	✓	✓
2685904e	✓	✓	✓
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2753e76c	✓	✓	✓
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281123b4	✓	✓	✓
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310f3251	✓	✓	✓
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31adaf00	✗	✗	✓
31d5ba1a	✓	✓	✓
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332efdb3	✓	✓	✓
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34b99a2b	✓	✓	✓
351d6448	✓	✓	✓
358ba94e	✓	✓	✓
37d3e8b2	✓	✓	✓
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3a301edc	✓	✓	✓
3b4c2228	✓	✓	✓
3d31c5b3	✓	✓	✓
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40f6cd08	✓	✓	✓
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42918530	✓	✓	✓
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4364c1c4	✓	✓	✓
456873bc	✓	✓	✓
45737921	✓	✓	✓
45bbe264	✓	✓	✓
477d2879	✓	✗	✗
47996f11	✗	✗	✗
48131b3c	✓	✓	✓
4852f2fa	✓	✓	✓
48f8583b	✓	✓	✓
4aab4007	✓	✓	✓
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4b6b68e5	✓	✗	✓
4c177718	✓	✓	✓
4cd1b7b2	✓	✓	✓
4e45f183	✓	✓	✓
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4f537728	✓	✓	✓
4ff4c9da	✗	✗	✓
505fff84	✓	✓	✓
506d28a5	✓	✓	✓
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50aad11f	✓	✓	✓
50f325b5	✗	✗	✓
516b51b7	✓	✓	✓
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5289ad53	✓	✓	✓
52fd389e	✓	✓	✓
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62ab2642	✓	✓	✗
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639f5a19	✓	✓	✓
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642d658d	✓	✓	✓
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66e6c45b	✓	✓	✓
66f2d22f	✓	✓	✓
67636eac	✓	✓	✓
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68b67ca3	✓	✓	✓
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696d4842	✓	✓	✓
69889d6e	✓	✓	✓
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705a3229	✓	✓	✓
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759f3fd3	✓	✓	✓
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a8610ef7	✓	✓	✗
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aa300dc3	✓	✓	✓
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e5790162	✓	✓	✓
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e619ca6e	✓	✓	✗
e633a9e5	✓	✓	✓
e66aafb8	✓	✓	✓
e681b708	✓	✓	✓
e69241bd	✓	✓	✓
e6de6e8f	✗	✗	✓
e74e1818	✓	✓	✓
e760a62e	✓	✓	✓
e7639916	✓	✓	✓
e78887d1	✓	✓	✓
e7a25a18	✓	✓	✓
e7b06bea	✓	✓	✓
e7dd8335	✓	✓	✓
e872b94a	✓	✓	✓
e88171ec	✓	✓	✓
e95e3d8e	✓	✓	✓
e99362f0	✓	✓	✓
e9ac8c9e	✓	✓	✓
e9b4f6fc	✓	✓	✓
e9bb6954	✓	✓	✓
e9c9d9a1	✓	✓	✓
ea959feb	✓	✓	✓
ea9794b1	✓	✓	✓
ecaa0ec1	✓	✓	✓
ed74f2f2	✓	✓	✓
ed98d772	✓	✓	✓
ef26cbf6	✓	✓	✓
f0afb749	✓	✓	✓
f0df5ff0	✓	✓	✓
f21745ec	✓	✓	✓
f3b10344	✗	✗	✗
f3cdc58f	✓	✓	✓
f3e62deb	✓	✓	✓
f4081712	✓	✓	✓
f45f5ca7	✓	✓	✓
f5aa3634	✓	✓	✓
f5c89df1	✓	✓	✓
f823c43c	✓	✓	✓
f83cb3f6	✓	✓	✓
f8be4b64	✓	✓	✓
f9a67cb5	✓	✓	✗
f9d67f8b	✗	✗	✓
fafd9572	✓	✓	✓
fb791726	✓	✓	✓
fc754716	✓	✓	✓
fd096ab6	✓	✓	✓
fd4b2b02	✓	✓	✓
fe9372f3	✓	✓	✓
fea12743	✓	✓	✓
ff72ca3e	✓	✓	✓

DeepSeek 推理评测/基准

来源：Hacker News 热门（buzzing.cc 中文翻译） · arcprize.org

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