1
A
claude-opus-4-7
claude-opus-4-7Anthropic
100.0
593
1M
¥36 / ¥180Input/Output
Code · Web Development · HTML Leaderboard
Ranking for Web Development / HTML, based on public preference data.
HTML model ranking guide
Ranking for Web Development / HTML, based on public preference data.
claude-opus-4-7claude-opus-4-7-thinkingclaude-opus-4-6claude-opus-4-6-thinkingqwen3.7-max-20260517
2
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.7
688
1M
¥36 / ¥180Input/Output
3
Aclaude-opus-4-6
claude-opus-4-6Anthropic
97.5
1.3K
1M
¥36 / ¥180Input/Output
4
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
96.2
1.2K
1M
¥36 / ¥180Input/Output
5
A
qwen3.7-max-20260517
qwen3.7-max-20260517Alibaba
94.9
213
1M
¥18 / ¥54Input/Output
6
Z
glm-5.1
glm-5.1Zai
93.7
530
200K
¥0 / ¥0Input/Output
7
M
muse-spark
muse-sparkMeta
92.4
186
-
-
8
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
91.1
1.6K
1M
¥21.6 / ¥108Input/Output
9
O
gpt-5.5-xhigh (codex-harness)
gpt-5.5-xhigh (codex-harness)Openai
89.9
494
400K
¥9 / ¥72Input/Output
10
M
kimi-k2.6
kimi-k2.6Moonshot
88.6
532
262K
¥6.84 / ¥28.8Input/Output
11
Ogpt-5.5-high (codex-harness)
gpt-5.5-high (codex-harness)Openai
87.3
523
400K
¥9 / ¥72Input/Output
12
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
86.1
7.9K
200K
¥108 / ¥540Input/Output
13
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
84.8
1.3K
1.05M
¥14.4 / ¥86.4Input/Output
14
Ogpt-5.5 (codex-harness)
gpt-5.5 (codex-harness)Openai
83.5
530
400K
¥9 / ¥72Input/Output
15
Ggemini-3.5-flash
gemini-3.5-flashGoogle
82.3
324
1.05M
¥10.8 / ¥64.8Input/Output
16
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
81.0
311
246K
¥9.5 / ¥56.9Input/Output
17
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
79.7
8.4K
200K
¥36 / ¥180Input/Output
18
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
78.5
562
1.05M
¥7.2 / ¥21.6Input/Output
19
Ogpt-5.4-medium (codex-harness)
gpt-5.4-medium (codex-harness)Openai
77.2
165
400K
¥9 / ¥72Input/Output
20
D
deepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
75.9
507
1M
¥3.13 / ¥6.26Input/Output
21
Aqwen3.6-plus
qwen3.6-plusAlibaba
74.7
786
1M
¥3.6 / ¥21.6Input/Output
22
Ggemini-3-pro
gemini-3-proGoogle
73.4
13.8K
1.05M
¥14.4 / ¥86.4Input/Output
23
Ogpt-5.4-high (codex-harness)
gpt-5.4-high (codex-harness)Openai
72.2
160
400K
¥9 / ¥72Input/Output
24
Zglm-5
glm-5Zai
70.9
804
205K
¥7.2 / ¥23Input/Output
25
Zglm-4.7
glm-4.7Zai
69.6
4.8K
205K
¥0 / ¥0Input/Output
26
MImimo-v2-pro
mimo-v2-proXiaomi
68.4
794
1.05M
¥7.2 / ¥21.6Input/Output
27
Ggemini-3-flash
gemini-3-flashGoogle
67.1
9.2K
1.05M
¥3.6 / ¥21.6Input/Output
28
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
65.8
672
400K
¥5.4 / ¥32.4Input/Output
29
MImimo-v2.5
mimo-v2.5Xiaomi
64.6
451
1.05M
¥2.88 / ¥14.4Input/Output
30
Ogpt-5.3-codex (codex-harness)
gpt-5.3-codex (codex-harness)Openai
63.3
394
400K
¥9 / ¥72Input/Output
31
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
62.0
1.6K
262K
¥4.32 / ¥21.6Input/Output
32
Ogpt-5.3-codex (codex-harness)
gpt-5.3-codex (codex-harness)Openai
60.8
360
400K
¥9 / ¥72Input/Output
33
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
59.5
589
262K
¥4.32 / ¥21.6Input/Output
34
Ogpt-5.2
gpt-5.2Openai
58.2
1.5K
400K
¥12.6 / ¥101Input/Output
35
M
minimax-m2.7
minimax-m2.7Minimax
57.0
786
205K
¥0 / ¥0Input/Output
36
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
55.7
1.2K
262K
¥3.1 / ¥18.6Input/Output
37
Mminimax-m2.5
minimax-m2.5Minimax
54.4
1K
205K
¥0 / ¥0Input/Output
38
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
53.2
6.8K
205K
¥0 / ¥0Input/Output
39
Ogpt-5-medium
gpt-5-mediumOpenai
51.9
3.8K
400K
¥9 / ¥72Input/Output
40
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
50.6
6.5K
1.05M
¥3.6 / ¥21.6Input/Output
41
Ogpt-5.1-medium
gpt-5.1-mediumOpenai
49.4
6.1K
400K
¥9 / ¥72Input/Output
42
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
48.1
11.3K
200K
¥21.6 / ¥108Input/Output
43
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
46.8
8.5K
200K
¥108 / ¥540Input/Output
44
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
45.6
12.9K
200K
¥21.6 / ¥108Input/Output
45
Aqwen3.5-27b
qwen3.5-27bAlibaba
44.3
928
262K
¥2.16 / ¥17.3Input/Output
46
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
43.0
856
2M
¥14.4 / ¥43.2Input/Output
47
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
41.8
4K
128K
¥2.09 / ¥3.1Input/Output
48
Ggemma-4-31b
gemma-4-31bGoogle
40.5
371
262K
¥3.24 / ¥7.2Input/Output
49
Zglm-4.6
glm-4.6Zai
39.2
8.3K
205K
¥4.32 / ¥15.8Input/Output
50
Xgrok-4.3
grok-4.3Xai
38.0
447
1M
¥9 / ¥18Input/Output
51
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
36.7
4.1K
262K
¥0.72 / ¥2.16Input/Output
52
Ogpt-5.1
gpt-5.1Openai
35.4
10K
400K
¥9 / ¥72Input/Output
53
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
34.2
189
256K
¥0 / ¥0Input/Output
54
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
32.9
202
262K
¥0.94 / ¥2.88Input/Output
55
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
31.6
990
262K
¥2.88 / ¥23Input/Output
56
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
30.4
1.2K
262K
¥0.72 / ¥2.16Input/Output
57
Ogpt-5.2-codex
gpt-5.2-codexOpenai
29.1
3.1K
400K
¥12.6 / ¥101Input/Output
58
Ogpt-5.1-codex
gpt-5.1-codexOpenai
27.8
6.2K
400K
¥9 / ¥72Input/Output
59
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
26.6
10K
262K
¥17.3 / ¥72Input/Output
60
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
25.3
251
262K
¥1.8 / ¥14.4Input/Output
61
Mminimax-m2
minimax-m2Minimax
24.1
8.4K
197K
¥0 / ¥0Input/Output
62
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
22.8
11.6K
200K
¥7.2 / ¥36Input/Output
63
Ddeepseek-v3.2
deepseek-v3.2Deepseek
21.5
5.2K
128K
¥2.09 / ¥3.1Input/Output
64
Aqwen3.5-flash
qwen3.5-flashAlibaba
20.3
196
1M
¥1.24 / ¥12.4Input/Output
65
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
19.0
4.9K
128K
¥0 / ¥0Input/Output
66
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
17.7
10.8K
262K
¥6.2 / ¥24.8Input/Output
67
UNtrinity-large-thinking
-
16.5
197
262K
¥1.8 / ¥6.48Input/Output
68
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
15.2
1.1K
1.05M
¥1.8 / ¥10.8Input/Output
69
UNKAT-Coder-Pro-V1
-
13.9
1.9K
256K
¥0.22 / ¥8.64Input/Output
70
Ogpt-5.1-codex-mini
gpt-5.1-codex-miniOpenai
12.7
1.4K
400K
¥1.8 / ¥14.4Input/Output
71
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
11.4
5.5K
2M
¥1.44 / ¥3.6Input/Output
72
MA
mistral-large-3
mistral-large-3Mistral
10.1
1K
262K
¥3.6 / ¥10.8Input/Output
73
IB
granite-4.1-8b
granite-4.1-8bIbm
8.9
229
131K
¥0.36 / ¥0.72Input/Output
74
Xgrok-4.1-thinking
grok-4.1-thinkingXai
7.6
1.2K
200K
¥14.4 / ¥72Input/Output
75
MAdevstral-2
devstral-2Mistral
6.3
1.3K
262K
¥2.88 / ¥14.4Input/Output
76
Ggemini-2.5-pro
gemini-2.5-proGoogle
5.1
3.3K
1.05M
¥9 / ¥72Input/Output
77
IA
mercury-2
mercury-2Inception Ai
3.8
100
128K
¥1.8 / ¥5.4Input/Output
78
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
2.5
933
2M
¥1.44 / ¥3.6Input/Output
79
Xgrok-code-fast-1
grok-code-fast-1Xai
1.3
982
256K
¥1.44 / ¥10.8Input/Output
80
MAdevstral-medium-2507
devstral-medium-2507Mistral
0.0
992
262K
¥2.88 / ¥14.4Input/Output
claude-opus-4-7 why it ranks first
claude-opus-4-7 ranks first with a percent score of 100.0 and 593 samples. Use it as the first option for this leaderboard, then compare price, context and availability.
Do not only look at rank #1
Start with the leaderboard closest to your task. Compare the top models by score and sample size, then check price, context length, open or closed access, and provider availability.
Compare adjacent capabilities
FAQ
HTML 网页排行榜看什么指标？
主要看排名、百分制分数、样本量和来源。分数用于快速比较同一榜单内模型表现，样本量用于判断结果稳定性。
为什么不同榜单不能直接混合成总分？
不同榜单的任务、样本和评测口径不同，模力榜默认只在同一榜单内排序，避免把写作、代码、图像等能力强行合并。
HTML 网页模型应该怎么选？
优先看与你任务最接近的榜单，再结合价格、上下文长度、开源闭源和厂商可用性。排名靠前不代表适合所有预算和部署方式。
榜单多久更新？
页面展示的是最新成功采集的公开榜单数据。当前优先使用 LMArena leaderboard dataset，并在页面来源中保留原始链接。