1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
9.8K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 复杂提示词（英文）排行榜
基于公开偏好评测数据展示 文本 / 复杂提示词（英文） 榜单，每个榜单独立排序。
复杂提示词（英文）模型怎么选？
复杂提示词（英文）排行榜用于回答“复杂提示词（英文）哪个 AI 模型更强”这类选型问题。页面基于公开偏好评测数据展示模型排名，每个榜单独立排序，不把不同任务的原始分数直接混合。当前榜首是 claude-opus-4-6-thinking，厂商为 anthropic，百分制分数 100.0，样本量 9.8K。 数据来源保留 Arena 原始榜单和 LMArena leaderboard dataset，更新时间以榜单发布时间 2026-05-27 为准。
claude-opus-4-6-thinkingclaude-opus-4-6claude-opus-4-7-thinkingclaude-opus-4-7mimo-v2.5-pro
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
11K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.4
6.5K
1M
¥36 / ¥180输入/输出
4
Aclaude-opus-4-7
claude-opus-4-7Anthropic
99.2
6.9K
1M
¥36 / ¥180输入/输出
5
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
98.9
4.9K
1.05M
¥7.2 / ¥21.6输入/输出
6
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
98.6
8.4K
1M
¥21.6 / ¥108输入/输出
7
Z
glm-5.1
glm-5.1Zai
98.3
4.4K
200K
¥0 / ¥0输入/输出
8
O
gpt-5.4-high
gpt-5.4-highOpenai
98.0
8.5K
1.05M
¥18 / ¥108输入/输出
9
Ogpt-5.5-high
gpt-5.5-highOpenai
97.8
5.3K
1.05M
¥36 / ¥216输入/输出
10
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.5
6.2K
-
-
11
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
97.2
13.2K
1.05M
¥14.4 / ¥86.4输入/输出
12
B
ernie-5.1
ernie-5.1Baidu
96.9
4.6K
119K
¥5.4 / ¥21.6输入/输出
13
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
96.6
18.4K
200K
¥36 / ¥180输入/输出
14
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
96.4
9.4K
200K
¥108 / ¥540输入/输出
15
Ggemini-3-pro
gemini-3-proGoogle
96.1
10.7K
1.05M
¥14.4 / ¥86.4输入/输出
16
Ggemini-3.5-flash
gemini-3.5-flashGoogle
95.8
3K
1.05M
¥10.8 / ¥64.8输入/输出
17
M
kimi-k2.6
kimi-k2.6Moonshot
95.5
4.8K
262K
¥6.84 / ¥28.8输入/输出
18
M
muse-spark
muse-sparkMeta
95.3
3.8K
-
-
19
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
95.0
1.3K
1M
¥18 / ¥54输入/输出
20
Ogpt-5.5
gpt-5.5Openai
94.7
5.6K
1.05M
¥36 / ¥216输入/输出
21
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
94.4
21.3K
200K
¥21.6 / ¥108输入/输出
22
MImimo-v2-pro
mimo-v2-proXiaomi
94.1
6.7K
1.05M
¥7.2 / ¥21.6输入/输出
23
Ogpt-5.4
gpt-5.4Openai
93.9
9.3K
1.05M
¥18 / ¥108输入/输出
24
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
93.6
21.6K
200K
¥21.6 / ¥108输入/输出
25
MImimo-v2.5
mimo-v2.5Xiaomi
93.3
5.2K
1.05M
¥2.88 / ¥14.4输入/输出
26
D
deepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
93.0
5K
1M
¥3.13 / ¥6.26输入/输出
27
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
92.7
7.4K
128K
¥1.08 / ¥10.8输入/输出
28
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
92.5
930
-
-
29
Ggemini-3-flash
gemini-3-flashGoogle
92.2
7.9K
1.05M
¥3.6 / ¥21.6输入/输出
30
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
91.9
10.4K
262K
¥4.32 / ¥21.6输入/输出
31
Ogpt-5.1-high
gpt-5.1-highOpenai
91.6
10.4K
400K
¥9 / ¥72输入/输出
32
Zglm-5
glm-5Zai
91.3
6.3K
205K
¥7.2 / ¥23输入/输出
33
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
91.1
9.8K
262K
¥3.1 / ¥18.6输入/输出
34
Ggemma-4-31b
gemma-4-31bGoogle
90.8
1.5K
262K
¥3.24 / ¥7.2输入/输出
35
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
90.5
12.5K
200K
¥108 / ¥540输入/输出
36
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
90.2
5.4K
1M
¥3.13 / ¥6.26输入/输出
37
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
89.9
9K
2M
¥14.4 / ¥43.2输入/输出
38
Zglm-4.7
glm-4.7Zai
89.7
3.1K
205K
¥0 / ¥0输入/输出
39
Aqwen3.6-plus
qwen3.6-plusAlibaba
89.4
5.8K
1M
¥3.6 / ¥21.6输入/输出
40
Ggemini-2.5-pro
gemini-2.5-proGoogle
89.1
31.6K
1.05M
¥9 / ¥72输入/输出
41
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
88.8
19.4K
200K
¥108 / ¥540输入/输出
42
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
88.5
2.2K
262K
¥4.32 / ¥21.6输入/输出
43
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
88.3
901
-
-
44
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
88.0
11.2K
-
-
45
Bernie-5.0-0110
ernie-5.0-0110Baidu
87.7
9.3K
128K
¥7.92 / ¥14.4输入/输出
46
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
87.4
1.4K
246K
¥9.5 / ¥56.9输入/输出
47
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
87.2
9.7K
400K
¥12.6 / ¥101输入/输出
48
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
86.9
10.2K
128K
¥2.09 / ¥3.1输入/输出
49
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
86.6
8.8K
2M
¥14.4 / ¥43.2输入/输出
50
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
86.3
2.4K
128K
¥0 / ¥0输入/输出
51
Aqwen3-max-preview
qwen3-max-previewAlibaba
86.0
6.8K
262K
¥6.2 / ¥24.8输入/输出
52
Mlongcat-flash-chat
longcat-flash-chatMeituan
85.8
2.9K
128K
¥1.08 / ¥10.8输入/输出
53
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
85.5
5.3K
1M
¥1.01 / ¥2.02输入/输出
54
Zglm-4.6
glm-4.6Zai
85.2
9.6K
205K
¥4.32 / ¥15.8输入/输出
55
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
84.9
1.5K
262K
¥0.94 / ¥2.88输入/输出
56
Xgrok-4.20-beta1
grok-4.20-beta1Xai
84.6
7.4K
2M
¥14.4 / ¥43.2输入/输出
57
Ddeepseek-v3.2
deepseek-v3.2Deepseek
84.4
12K
128K
¥2.09 / ¥3.1输入/输出
58
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
84.1
6.3K
1M
¥9 / ¥18输入/输出
59
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
83.8
3K
128K
¥2.16 / ¥8.64输入/输出
60
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
83.5
884
-
-
61
Xgrok-4.1
grok-4.1Xai
83.2
17.9K
200K
¥14.4 / ¥72输入/输出
62
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
83.0
3.2K
128K
¥0 / ¥0输入/输出
63
MA
mistral-large-3
mistral-large-3Mistral
82.7
11.5K
262K
¥3.6 / ¥10.8输入/输出
64
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
82.4
15.3K
1.05M
¥3.6 / ¥21.6输入/输出
65
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
82.1
24.9K
128K
¥2.09 / ¥8.23输入/输出
66
Ogpt-5.1
gpt-5.1Openai
81.8
11.3K
400K
¥9 / ¥72输入/输出
67
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
81.6
16.4K
262K
¥17.3 / ¥72输入/输出
68
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
81.3
12.4K
262K
¥0.72 / ¥2.16输入/输出
69
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
81.0
5.2K
1M
¥1.01 / ¥2.02输入/输出
70
Xgrok-4.1-thinking
grok-4.1-thinkingXai
80.7
17.4K
200K
¥14.4 / ¥72输入/输出
71
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
80.4
2.5K
258K
¥6.19 / ¥24.7输入/输出
72
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
80.2
6.1K
131K
¥1.04 / ¥4.13输入/输出
73
MAmistral-medium-2508
mistral-medium-2508Mistral
79.9
25K
262K
¥2.88 / ¥14.4输入/输出
74
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
79.6
840
128K
¥1.8 / ¥5.04输入/输出
75
MImimo-v2-omni
mimo-v2-omniXiaomi
79.3
930
262K
¥2.88 / ¥14.4输入/输出
76
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
79.1
22K
200K
¥7.2 / ¥36输入/输出
77
M
minimax-m2.7
minimax-m2.7Minimax
78.8
6.9K
205K
¥0 / ¥0输入/输出
78
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
78.5
2.5K
128K
¥7.92 / ¥14.4输入/输出
79
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
78.2
2K
131K
¥2.07 / ¥8.26输入/输出
80
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
77.9
8K
262K
¥2.88 / ¥23输入/输出
81
Ogpt-5.2-high
gpt-5.2-highOpenai
77.7
13K
400K
¥12.6 / ¥101输入/输出
82
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
77.4
6.5K
-
-
83
Xgrok-4-fast-chat
grok-4-fast-chatXai
77.1
1.6K
2M
¥1.44 / ¥3.6输入/输出
84
Ogpt-5.5-instant
gpt-5.5-instantOpenai
76.8
8.4K
400K
¥9 / ¥72输入/输出
85
Zglm-4.5
glm-4.5Zai
76.5
5.7K
131K
¥4.32 / ¥15.8输入/输出
86
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
76.3
2.5K
128K
¥1.44 / ¥5.04输入/输出
87
Aqwen3.5-27b
qwen3.5-27bAlibaba
76.0
7.8K
262K
¥2.16 / ¥17.3输入/输出
88
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
75.7
8.3K
400K
¥5.4 / ¥32.4输入/输出
89
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
75.4
4.2K
205K
¥0 / ¥0输入/输出
90
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
75.1
20K
128K
¥18 / ¥72输入/输出
91
ST
step-3.5-flash
step-3.5-flashStepfun
74.9
9.4K
256K
¥0.69 / ¥2.07输入/输出
92
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
74.6
1.9K
256K
¥0 / ¥0输入/输出
93
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
74.3
583
-
-
94
Ogpt-5.2
gpt-5.2Openai
74.0
13.7K
400K
¥12.6 / ¥101输入/输出
95
Ogpt-5-high
gpt-5-highOpenai
73.7
7.7K
400K
¥9 / ¥72输入/输出
96
Ggemini-2.5-flash
gemini-2.5-flashGoogle
73.5
31.3K
1.05M
¥2.16 / ¥18输入/输出
97
Ddeepseek-v3.1
deepseek-v3.1Deepseek
73.2
3.4K
128K
¥1.44 / ¥5.04输入/输出
98
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
72.9
3.5K
164K
¥3.6 / ¥15.5输入/输出
99
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
72.6
1.4K
128K
¥7.92 / ¥14.4输入/输出
100
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
72.3
2.8K
262K
¥0.72 / ¥2.16输入/输出
101
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
72.1
2.1K
131K
¥2.06 / ¥8.26输入/输出
102
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
71.8
5.2K
2M
¥1.44 / ¥3.6输入/输出
103
Xgrok-4-0709
grok-4-0709Xai
71.5
10.4K
256K
¥21.6 / ¥108输入/输出
104
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
71.2
3K
-
-
105
Xgrok-4.3
grok-4.3Xai
70.9
5.3K
1M
¥9 / ¥18输入/输出
106
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
70.7
15.1K
2M
¥1.44 / ¥3.6输入/输出
107
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
70.4
1K
128K
¥1.8 / ¥5.04输入/输出
108
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
70.1
8.1K
262K
¥1.8 / ¥14.4输入/输出
109
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
69.8
8.8K
1M
¥2.16 / ¥18输入/输出
110
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
69.6
8.4K
200K
¥108 / ¥540输入/输出
111
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
69.3
2.3K
8.19K
¥216 / ¥432输入/输出
112
Aqwen3.5-flash
qwen3.5-flashAlibaba
69.0
8.7K
1M
¥1.24 / ¥12.4输入/输出
113
Oo3-2025-04-16
o3-2025-04-16Openai
68.7
14K
200K
¥14.4 / ¥57.6输入/输出
114
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
68.4
5.6K
262K
¥2.16 / ¥3.6输入/输出
115
Ogpt-5-chat
gpt-5-chatOpenai
68.2
7.8K
400K
¥9 / ¥72输入/输出
116
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
67.9
10.7K
1.05M
¥1.8 / ¥10.8输入/输出
117
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.6
2K
262K
¥1.44 / ¥5.76输入/输出
118
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
67.3
9.2K
128K
¥12.6 / ¥101输入/输出
119
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
67.0
931
131K
¥0 / ¥0输入/输出
120
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
66.8
8.6K
131K
¥2.07 / ¥8.26输入/输出
121
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
66.5
8.1K
200K
¥21.6 / ¥108输入/输出
122
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
66.2
8.2K
400K
¥1.44 / ¥9输入/输出
123
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
65.9
11.9K
1.05M
¥14.4 / ¥57.6输入/输出
124
Zglm-4.6v
glm-4.6vZai
65.6
718
128K
¥2.16 / ¥6.48输入/输出
125
Zglm-4.5-air
glm-4.5-airZai
65.4
7.7K
131K
¥0 / ¥0输入/输出
126
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
65.1
3.5K
131K
¥1.04 / ¥10.3输入/输出
127
Ogpt-5-mini-high
gpt-5-mini-highOpenai
64.8
6.5K
400K
¥1.8 / ¥14.4输入/输出
128
Mminimax-m2.5
minimax-m2.5Minimax
64.5
10.6K
205K
¥0 / ¥0输入/输出
129
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
64.2
9.9K
200K
¥108 / ¥540输入/输出
130
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
64.0
6K
262K
¥6.2 / ¥24.8输入/输出
131
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
63.7
2.8K
262K
¥4.32 / ¥18输入/输出
132
AG
ling-flash-2.0
ling-flash-2.0Ant Group
63.4
1.8K
131K
¥1.01 / ¥4.1输入/输出
133
Anova-2-lite
nova-2-liteAmazon
63.1
3.2K
128K
¥2.38 / ¥19.8输入/输出
134
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
62.8
12.5K
1.05M
¥0.72 / ¥2.88输入/输出
135
Xgrok-3-mini-high
grok-3-mini-highXai
62.6
4.1K
128K
¥0 / ¥0输入/输出
136
Oo1-preview
o1-previewOpenai
62.3
4.9K
128K
¥108 / ¥432输入/输出
137
Oo3-mini-high
o3-mini-highOpenai
62.0
2.9K
200K
¥7.92 / ¥31.7输入/输出
138
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
61.7
10.2K
75K
¥1.44 / ¥5.76输入/输出
139
MAmistral-medium-2505
mistral-medium-2505Mistral
61.5
7.3K
262K
¥2.88 / ¥14.4输入/输出
140
IA
mercury-2
mercury-2Inception Ai
61.2
865
128K
¥1.8 / ¥5.4输入/输出
141
Ddeepseek-r1
deepseek-r1Deepseek
60.9
2.7K
164K
¥5.04 / ¥18输入/输出
142
AGring-flash-2.0
ring-flash-2.0Ant Group
60.6
1.9K
131K
¥1.01 / ¥4.1输入/输出
143
Mminimax-m2
minimax-m2Minimax
60.3
1.9K
197K
¥0 / ¥0输入/输出
144
STstep-3
step-3Stepfun
60.1
1.6K
65.5K
¥1.8 / ¥4.68输入/输出
145
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
59.8
7.5K
65.5K
¥0.72 / ¥2.88输入/输出
146
Xgrok-3-mini-beta
grok-3-mini-betaXai
59.5
5.3K
1M
¥9 / ¥18输入/输出
147
Oo1-2024-12-17
o1-2024-12-17Openai
59.2
4.2K
128K
¥108 / ¥432输入/输出
148
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
58.9
3.9K
131K
¥0 / ¥0输入/输出
149
UNintellect-3
-
58.7
1.4K
131K
¥1.44 / ¥7.92输入/输出
150
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
58.4
2.2K
131K
¥0 / ¥0输入/输出
151
Zglm-4.7-flash
glm-4.7-flashZai
58.1
3.1K
200K
¥0 / ¥0输入/输出
152
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
57.8
5.8K
131K
¥2.07 / ¥8.26输入/输出
153
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
57.5
6.4K
131K
¥4.32 / ¥18输入/输出
154
Ogpt-oss-120b
gpt-oss-120bOpenai
57.3
7.6K
131K
¥1.08 / ¥4.32输入/输出
155
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
57.0
10.5K
200K
¥7.92 / ¥31.7输入/输出
156
UNtrinity-large-preview
-
56.7
8.4K
262K
¥1.8 / ¥6.48输入/输出
157
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
56.4
9.3K
200K
¥21.6 / ¥108输入/输出
158
Aqwen2.5-max
qwen2.5-maxAlibaba
56.1
6K
32K
¥11.5 / ¥46输入/输出
159
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
55.9
8.8K
1.05M
¥2.88 / ¥11.5输入/输出
160
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
55.6
779
-
-
161
MAmistral-small-2506
mistral-small-2506Mistral
55.3
4.1K
262K
¥2.88 / ¥14.4输入/输出
162
UNtrinity-large-thinking
-
55.0
7.6K
262K
¥1.8 / ¥6.48输入/输出
163
Zglm-4.5v
glm-4.5vZai
54.7
1.2K
64K
¥4.32 / ¥13输入/输出
164
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
54.5
8.5K
1.05M
¥1.08 / ¥4.32输入/输出
165
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
54.2
1.9K
-
-
166
Oo1-mini
o1-miniOpenai
53.9
8.4K
128K
¥7.92 / ¥31.7输入/输出
167
Mminimax-m1
minimax-m1Minimax
53.6
8.2K
1M
¥0.95 / ¥9.03输入/输出
168
Ggemma-3-27b-it
gemma-3-27b-itGoogle
53.4
9.9K
128K
¥2.15 / ¥2.15输入/输出
169
Aqwen3-32b
qwen3-32bAlibaba
53.1
729
131K
¥2.07 / ¥8.26输入/输出
170
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
52.8
3K
200K
¥14.4 / ¥57.6输入/输出
171
Oo3-mini
o3-miniOpenai
52.5
11.3K
200K
¥7.92 / ¥31.7输入/输出
172
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
52.2
7.8K
-
-
173
Aqwq-32b
qwq-32bAlibaba
52.0
5.1K
131K
¥2.07 / ¥6.2输入/输出
174
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
51.7
344
131K
¥0 / ¥0输入/输出
175
Ogpt-5-nano-high
gpt-5-nano-highOpenai
51.4
2K
400K
¥0.36 / ¥2.88输入/输出
176
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
51.1
367
131K
¥0 / ¥0输入/输出
177
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
50.8
710
131K
¥2.88 / ¥2.88输入/输出
178
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
50.6
448
128K
¥4.32 / ¥13输入/输出
179
CO
command-a-03-2025
command-a-03-2025Cohere
50.3
12.7K
256K
¥18 / ¥72输入/输出
180
Aqwen-plus-0125
qwen-plus-0125Alibaba
50.0
964
1M
¥0.83 / ¥2.07输入/输出
181
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
49.7
1.5K
128K
¥2.16 / ¥3.24输入/输出
182
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
49.4
5.8K
128K
¥0.79 / ¥7.78输入/输出
183
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
49.2
4.1K
1.05M
¥0.54 / ¥2.16输入/输出
184
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
48.9
343
-
-
185
Ddeepseek-v3
deepseek-v3Deepseek
48.6
3.6K
128K
¥0 / ¥0输入/输出
186
UNyi-lightning
-
48.3
3.9K
12K
¥1.44 / ¥1.44输入/输出
187
IB
granite-4.1-8b
granite-4.1-8bIbm
48.0
1.2K
131K
¥0.36 / ¥0.72输入/输出
188
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
47.8
8.8K
200K
¥21.6 / ¥108输入/输出
189
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
47.5
2.1K
200K
¥14.4 / ¥57.6输入/输出
190
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
47.2
1.7K
-
-
191
Ggemma-3-12b-it
gemma-3-12b-itGoogle
46.9
700
128K
¥1.96 / ¥1.96输入/输出
192
IAmercury
mercuryInception Ai
46.6
519
128K
¥1.8 / ¥5.4输入/输出
193
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
46.4
15.8K
200K
¥21.6 / ¥108输入/输出
194
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
46.1
786
16.4K
¥37.5 / ¥118输入/输出
195
UNathene-v2-chat
-
45.8
4K
-
-
196
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
45.5
1.1K
1M
¥1.01 / ¥2.02输入/输出
197
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
45.3
9.1K
-
-
198
AImolmo-2-8b
molmo-2-8bAllenai
45.0
218
-
-
199
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
44.7
7.6K
262K
¥2.88 / ¥14.4输入/输出
200
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
44.4
8.7K
1M
¥1.8 / ¥6.26输入/输出
201
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
44.1
601
-
-
202
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
43.9
19.6K
128K
¥36 / ¥108输入/输出
203
Zglm-4-plus-0111
glm-4-plus-0111Zai
43.6
955
128K
¥72 / ¥72输入/输出
204
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
43.3
6.8K
128K
¥0 / ¥0输入/输出
205
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
43.0
1.1K
1.05M
¥14.4 / ¥57.6输入/输出
206
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
42.7
4.6K
128K
¥0 / ¥0输入/输出
207
Ogpt-oss-20b
gpt-oss-20bOpenai
42.5
2.4K
131K
¥0.32 / ¥1.3输入/输出
208
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
42.2
6.7K
128K
¥1.44 / ¥5.62输入/输出
209
MAmagistral-medium-2506
magistral-medium-2506Mistral
41.9
2.8K
128K
¥14.4 / ¥36输入/输出
210
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
41.6
10K
128K
¥0 / ¥0输入/输出
211
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
41.3
1.1K
128K
¥0 / ¥0输入/输出
212
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
41.1
14.3K
200K
¥21.6 / ¥108输入/输出
213
Aqwen-max-0919
qwen-max-0919Alibaba
40.8
2.5K
131K
¥2.48 / ¥9.91输入/输出
214
Ddeepseek-v2.5
deepseek-v2.5Deepseek
40.5
4.1K
1M
¥1.01 / ¥2.02输入/输出
215
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
40.2
10.5K
1M
¥9 / ¥18输入/输出
216
Zglm-4-plus
glm-4-plusZai
39.9
4K
128K
¥54 / ¥54输入/输出
217
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
39.7
6.2K
131K
¥4.13 / ¥12.4输入/输出
218
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
39.4
11.4K
128K
¥1.08 / ¥4.32输入/输出
219
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
39.1
10.1K
128K
¥0 / ¥0输入/输出
220
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
38.8
8K
128K
¥18 / ¥72输入/输出
221
TEhunyuan-large-vision
hunyuan-large-visionTencent
38.5
1.2K
-
-
222
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
38.3
587
-
-
223
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
38.0
759
131K
¥2.07 / ¥6.2输入/输出
224
MAmistral-large-2407
mistral-large-2407Mistral
37.7
7.8K
131K
¥14.4 / ¥43.2输入/输出
225
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
37.4
8.7K
1M
¥9 / ¥18输入/输出
226
MAmistral-large-2411
mistral-large-2411Mistral
37.2
4.5K
128K
¥14.4 / ¥43.2输入/输出
227
IBibm-granite-h-small
ibm-granite-h-smallIbm
36.9
1.6K
-
-
228
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
36.6
17.9K
128K
¥72 / ¥216输入/输出
229
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
36.3
13.4K
200K
¥5.76 / ¥28.8输入/输出
230
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
36.0
5.5K
2M
¥0.54 / ¥2.2输入/输出
231
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
35.8
9.1K
131K
¥2.88 / ¥2.88输入/输出
232
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
35.5
13.6K
-
-
233
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
35.2
4.1K
300K
¥5.76 / ¥23输入/输出
234
UNathene-70b-0725
-
34.9
3.6K
-
-
235
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
34.6
18.3K
8.19K
¥216 / ¥432输入/输出
236
Ggemma-3-4b-it
gemma-3-4b-itGoogle
34.4
764
128K
¥1.44 / ¥1.44输入/输出
237
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
34.1
16.8K
8.19K
¥216 / ¥432输入/输出
238
Ggemini-advanced-0514
gemini-advanced-0514Google
33.8
8.4K
-
-
239
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
33.5
34.3K
200K
¥108 / ¥540输入/输出
240
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
33.2
2.4K
262K
¥2.88 / ¥14.4输入/输出
241
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
33.0
538
-
-
242
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
32.7
499
-
-
243
UNjamba-1.5-large
-
32.4
1.5K
256K
¥0 / ¥0输入/输出
244
Mllama-3-70b-instruct
llama-3-70b-instructMeta
32.1
29.6K
8.19K
¥3.67 / ¥5.33输入/输出
245
M
phi-4
phi-4Microsoft
31.8
3.8K
128K
¥0.9 / ¥3.6输入/输出
246
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
31.6
370
-
-
247
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
31.3
3.1K
300K
¥0.43 / ¥1.73输入/输出
248
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
31.0
11K
2M
¥0.54 / ¥2.2输入/输出
249
Zglm-4-0520
glm-4-0520Zai
30.7
1.8K
128K
¥108 / ¥108输入/输出
250
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
30.4
2.7K
1M
¥1.01 / ¥2.02输入/输出
251
UNreka-core-20240904
-
30.2
1.3K
-
-
252
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
29.9
5.6K
2M
¥0.54 / ¥2.2输入/输出
253
Ogpt-4-0314
gpt-4-0314Openai
29.6
9.8K
8.19K
¥216 / ¥432输入/输出
254
MAministral-8b-2410
ministral-8b-2410Mistral
29.3
703
128K
¥0.72 / ¥0.72输入/输出
255
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
29.1
6.5K
131K
¥4.13 / ¥12.4输入/输出
256
Ggemma-2-27b-it
gemma-2-27b-itGoogle
28.8
12.6K
8.19K
¥0.58 / ¥0.58输入/输出
257
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
28.5
578
128K
¥0 / ¥0输入/输出
258
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
28.2
3.1K
128K
¥0.25 / ¥1.01输入/输出
259
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
27.9
19.2K
200K
¥21.6 / ¥108输入/输出
260
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
27.7
3.3K
-
-
261
UNgemma-2-9b-it-simpo
-
27.4
1.7K
8.19K
¥1.44 / ¥1.44输入/输出
262
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
27.1
4.3K
-
-
263
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
26.8
8.2K
131K
¥0.79 / ¥0.79输入/输出
264
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
26.5
1.7K
128K
¥18 / ¥72输入/输出
265
UNinternlm2_5-20b-chat
-
26.3
1.5K
-
-
266
Ogpt-4-0613
gpt-4-0613Openai
26.0
16.2K
8.19K
¥216 / ¥432输入/输出
267
UNreka-flash-20240904
-
25.7
1.4K
65.5K
¥0.72 / ¥1.44输入/输出
268
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
25.4
4.6K
-
-
269
UNjamba-1.5-mini
-
25.1
1.5K
256K
¥0 / ¥0输入/输出
270
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
24.9
20.7K
200K
¥1.8 / ¥9输入/输出
271
UNyi-1.5-34b-chat
-
24.6
3.9K
-
-
272
MAmistral-large-2402
mistral-large-2402Mistral
24.3
11.3K
262K
¥2.88 / ¥14.4输入/输出
273
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
24.0
452
-
-
274
Ggemma-2-9b-it
gemma-2-9b-itGoogle
23.7
9.1K
8.19K
¥1.44 / ¥1.44输入/输出
275
COcommand-r-plus
command-r-plusCohere
23.5
14K
128K
¥18 / ¥72输入/输出
276
Aqwq-32b-preview
qwq-32b-previewAlibaba
23.2
519
131K
¥2.07 / ¥6.2输入/输出
277
COcommand-r-08-2024
command-r-08-2024Cohere
22.9
1.8K
128K
¥18 / ¥72输入/输出
278
Mllama-3-8b-instruct
llama-3-8b-instructMeta
22.6
19.9K
8.19K
¥0.29 / ¥0.29输入/输出
279
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
22.3
517
-
-
280
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
22.1
9.5K
64K
¥14.4 / ¥43.2输入/输出
281
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
21.8
7.6K
-
-
282
MAmistral-medium
mistral-mediumMistral
21.5
6.4K
262K
¥2.88 / ¥14.4输入/输出
283
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
21.2
511
-
-
284
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
20.9
1.6K
-
-
285
UNreka-flash-21b-20240226-online
-
20.7
2.9K
-
-
286
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
20.4
3.8K
-
-
287
UNreka-flash-21b-20240226
-
20.1
4.8K
-
-
288
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
19.8
4.1K
4.1K
¥1.22 / ¥4.9输入/输出
289
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
19.6
1.4K
131K
¥0.22 / ¥0.35输入/输出
290
UNdbrx-instruct-preview
-
19.3
5.5K
-
-
291
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
19.0
13.4K
32K
¥5.04 / ¥5.04输入/输出
292
UNzephyr-orpo-141b-A35b-v0.1
-
18.7
820
200K
¥108 / ¥432输入/输出
293
UNstarling-lm-7b-beta
-
18.4
2.9K
200K
¥5.4 / ¥18.7输入/输出
294
Ggemma-2-2b-it
gemma-2-2b-itGoogle
18.2
7.6K
128K
¥0 / ¥0输入/输出
295
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
17.9
3.1K
8.19K
¥1.08 / ¥4.32输入/输出
296
UNtulu-2-dpo-70b
-
17.6
1.2K
-
-
297
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
17.3
3K
-
-
298
COcommand-r
command-rCohere
17.0
9.3K
128K
¥18 / ¥72输入/输出
299
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
16.8
12.4K
16.4K
¥3.6 / ¥10.8输入/输出
300
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
16.5
900
-
-
301
UNyi-34b-chat
-
16.2
2.8K
-
-
302
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
15.9
3.3K
1.05M
¥14.4 / ¥86.4输入/输出
303
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
15.6
2K
4.1K
¥0.94 / ¥3.74输入/输出
304
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
15.4
3.2K
16.4K
¥7.2 / ¥14.4输入/输出
305
Ggemini-pro
gemini-proGoogle
15.1
1.2K
1.05M
¥14.4 / ¥86.4输入/输出
306
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
14.8
3.4K
4.1K
¥0.94 / ¥3.74输入/输出
307
Mwizardlm-70b
wizardlm-70bMicrosoft
14.5
1.5K
-
-
308
UNopenchat-3.5-0106
-
14.2
2.5K
-
-
309
UNstarling-lm-7b-alpha
-
14.0
1.9K
200K
¥5.4 / ¥18.7输入/输出
310
Mllama-2-70b-chat
llama-2-70b-chatMeta
13.7
7K
-
-
311
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
13.4
4.2K
-
-
312
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
13.1
3.7K
262K
¥2.88 / ¥14.4输入/输出
313
UNsnowflake-arctic-instruct
-
12.8
6.5K
-
-
314
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
12.6
974
-
-
315
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
12.3
1.4K
16.4K
¥0.07 / ¥0.08输入/输出
316
UNopenhermes-2.5-mistral-7b
-
12.0
917
1M
¥36 / ¥180输入/输出
317
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
11.7
946
1M
¥1.01 / ¥2.02输入/输出
318
UNmpt-30b-chat
-
11.5
359
-
-
319
UNvicuna-33b
-
11.2
4K
-
-
320
Mcodellama-70b-instruct
codellama-70b-instructMeta
10.9
207
-
-
321
UNsolar-10.7b-instruct-v1.0
-
10.6
765
128K
¥0 / ¥0输入/输出
322
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
10.3
1K
-
-
323
Mllama-2-13b-chat
llama-2-13b-chatMeta
10.1
3.3K
-
-
324
UNopenchat-3.5
-
9.8
1.4K
-
-
325
UNsmollm2-1.7b-instruct
-
9.5
334
-
-
326
UNdolphin-2.2.1-mistral-7b
-
9.2
286
262K
¥2.88 / ¥14.4输入/输出
327
UNnous-hermes-2-mixtral-8x7b-dpo
-
8.9
929
1M
¥36 / ¥180输入/输出
328
Ggemma-7b-it
gemma-7b-itGoogle
8.7
1.6K
-
-
329
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
8.4
645
-
-
330
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
8.1
4.1K
128K
¥0.94 / ¥3.74输入/输出
331
UNzephyr-7b-beta
-
7.8
1.8K
-
-
332
Mcodellama-34b-instruct
codellama-34b-instructMeta
7.5
1.3K
-
-
333
UNzephyr-7b-alpha
-
7.3
278
-
-
334
Aqwen-14b-chat
qwen-14b-chatAlibaba
7.0
830
32.8K
¥1.04 / ¥3.1输入/输出
335
UNvicuna-13b
-
6.7
3.2K
-
-
336
Gpalm-2
palm-2Google
6.4
1.4K
-
-
337
Mwizardlm-13b
wizardlm-13bMicrosoft
6.1
1.1K
-
-
338
Mllama-2-7b-chat
llama-2-7b-chatMeta
5.9
2.6K
128K
¥4.03 / ¥48输入/输出
339
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
5.6
1.9K
-
-
340
MAmistral-7b-instruct
mistral-7b-instructMistral
5.3
1.6K
262K
¥2.88 / ¥14.4输入/输出
341
UNguanaco-33b
-
5.0
434
200K
¥14.4 / ¥57.6输入/输出
342
UNstripedhyena-nous-7b
-
4.7
1K
-
-
343
AIolmo-7b-instruct
olmo-7b-instructAllenai
4.5
1.1K
-
-
344
UNvicuna-7b
-
4.2
1.1K
-
-
345
Ggemma-2b-it
gemma-2b-itGoogle
3.9
832
-
-
346
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.6
1.4K
-
-
347
UNchatglm3-6b
-
3.4
835
200K
¥5.4 / ¥18.7输入/输出
348
UNgpt4all-13b-snoozy
-
3.1
287
1M
¥36 / ¥216输入/输出
349
UNkoala-13b
-
2.8
1.1K
-
-
350
UNchatglm2-6b
-
2.5
408
200K
¥5.4 / ¥18.7输入/输出
351
UNmpt-7b-chat
-
2.2
626
-
-
352
UNRWKV-4-Raven-14B
-
2.0
771
-
-
353
UNoasst-pythia-12b
-
1.7
1K
-
-
354
UNchatglm-6b
-
1.4
732
200K
¥5.4 / ¥18.7输入/输出
355
UNstablelm-tuned-alpha-7b
-
1.1
497
-
-
356
UNalpaca-13b
-
0.8
899
-
-
357
UNfastchat-t5-3b
-
0.6
690
-
-
358
UNdolly-v2-12b
-
0.3
523
-
-
359
Mllama-13b
llama-13bMeta
0.0
371
-
-
claude-opus-4-6-thinking 为什么排第一
claude-opus-4-6-thinking 当前排名第 1，厂商为 anthropic，百分制分数 100.0，样本量 9.8K。如果你的任务与本榜单口径一致，可以优先把它作为候选模型，再结合价格、上下文长度和可用性做最终选择。
不要只看第一名
先选择最接近真实任务的排行榜，再比较 Top 模型的分数和样本量。分数越高说明同一榜单内偏好表现越强；样本量越高通常结果更稳定。最后再结合价格、上下文长度、开源闭源和厂商可用性筛选。
继续比较相近能力
复杂提示词（英文）常见问题
复杂提示词（英文）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。
复杂提示词（英文）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。