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排行榜/Arena 人类盲测/Code 编程/Fullstack 全栈

Arena Code 编程 · Fullstack 全栈

前端 / 全栈代码生成盲测,含 11 个细分场景子榜 · 完整榜单 82 个模型

RankModelElo 分
1
gpt-6.1-sol-max1759.8±28.8
2
gpt-6-astra-max1750.4±19.5
3
claude-opus-5.5-max1742.6±24.8
4
gpt-6-sol-max1711±21.6
5
claude-sonnet-5.5-xhigh1697.7±25.6
6
qwen3.8-max1688.1±29.1
7
gemini-4-argon-high1685.6±28
8
claude-fable-5.1-max1680.9±16
9
qwen3.8-max-09021672.8±12.6
10
claude-opus-5-max1666.8±10.4
11
kimi-k3-max1656.7±10.8
12
muse-spark-1.3-max1654.2±14.6
13
claude-sonnet-5.5-high1651.3±20.1
14
claude-opus-5-high1635.3±9.6
15
muse-spark-1.3 (xHigh)1631.8±14.9
16
gpt-5.6-sol-xhigh (codex-harness)1630.9±10.4
17
gemini-3.7-flash-high1627.1±13
18
grok-4.7-xhigh1626±19
19
glm-5.3-max1625.9±13.8
20
deepseek-v4.1-flash-max1623.3±21.9
21
mimo-v2.6-pro1622±19.8
22
mimo-v2.6-flash1620.2±19.3
23
qwen3.8-flash-next1618.2±15.5
24
grok-4.6-high1616.1±14.1
25
claude-fable-5-high1614.9±12.4
26
qwen3.8-27b1614.6±11.4
27
glm-5.2-max1613.7±11.5
28
deepseek-v4-flash-high1612.9±19.8
29
gemini-3.8-flash-high1611±13.3
30
gpt-6-luna-max1607±10.4
31
hy4-preview1604.1±19.3
32
glm-5.3-flash1603.3±10.8
33
deepseek-v4-pro-high-202608131598.8±18.8
34
muse-spark-1.11593.8±15.1
35
gemini-3.6-flash-high1582.6±13.1
36
claude-opus-4-8-high1580±10.7
37
claude-opus-4-6-high1576.5±15
38
claude-sonnet-4-61576±14.9
39
claude-opus-4-61571.5±15.1
40
mistral-large-41571±26.4
41
claude-opus-4-71570.5±14.1
42
claude-opus-4-7-high1570.1±14.7
43
claude-haiku-5.5-high1566.5±23.3
44
step-5-preview-high1566.2±21.1
45
seed-2.1-pro-preview1565.8±12.8
46
gpt-5.6-terra-xhigh (codex-harness)1565.4±11.6
47
claude-sonnet-5-high1565.1±11.9
48
gpt-5.6-luna-xhigh (codex-harness)1564.4±11.4
49
kimi-k2.61561.1±17.8
50
grok-4.51558.7±13.9
51
claude-opus-4-81557.1±12
52
glm-5.11548.3±17.1
53
mimo-v2.5-pro1546±11.5
54
hy31542.2±16.9
55
qwen3.7-max-202605171540.4±18.2
56
minimax-m31539.5±11.5
57
mimo-v2.51534.4±15.4
58
gemini-3.5-flash-high1527.1±16.4
59
gpt-5.5-xhigh (codex-harness)1527±15.1
60
gemini-3.5-flash-medium1526.8±14
61
deepseek-v4-pro-high-preview1516±18
62
gemini-3.5-flash1510.8±29.3
63
gpt-5.5-high (codex-harness)1508.2±13.2
64
qwen3.6-plus1502.4±13.2
65
deepseek-v4-flash-high-preview1501.1±21.9
66
deepseek-v4-pro1500.2±13.9
67
kimi-k2.5-thinking1496.3±17.2
68
gpt-5.5 (codex-harness)1485.2±15.1
69
minimax-m2.71478.3±17
70
Inkling Small1476.5±19
71
inkling1474.8±11.8
72
qwen3.5-397b-a17b1467.6±15.3
73
gpt-5.4-mini-high1461.1±24.9
74
gemini-3.1-pro-preview1446.7±13.1
75
gpt-5.41434.1±23.3
76
laguna-m.11425.3±26.3
77
solar-pro41424.7±22.2
78
gemini-3-flash (thinking-minimal)1420.1±23.9
79
grok-4.20-beta-0309-reasoning1416.4±17.8
80
claude-haiku-4-5-202510011405.6±14.6
81
gemma-4-31b1398.6±18.9
82
grok-4.31371.5±17.1
Elo 分 真人在不知道模型名字的情况下两两投票,胜负累积出的等级分。绝对值没有意义,差值才有:分差 100 分 ≈ 强的那个有 64% 胜率,只差几分基本是平手。
± 后面的数 是 95% 置信区间的半宽,投票越多越小。两个模型的区间重叠,说明它们的名次差别在统计上不成立。
区间 把上面这个置信区间换算成名次:1–5 意思是这个模型的真实名次可能在第 1 到第 5 之间。
数据更新: 2026-10-14数据来源: Arena AI ↗