1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
15.7K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 英文排行榜
基于公开偏好评测数据展示 文本 / 英文 榜单，每个榜单独立排序。
英文模型怎么选？
英文排行榜用于回答“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 15.7K。 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-4-7glm-5.1
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
17.1K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.4
9.6K
1M
¥36 / ¥180输入/输出
4
Aclaude-opus-4-7
claude-opus-4-7Anthropic
99.2
10K
1M
¥36 / ¥180输入/输出
5
Z
glm-5.1
glm-5.1Zai
98.9
6.7K
200K
¥0 / ¥0输入/输出
6
M
muse-spark
muse-sparkMeta
98.6
5.8K
-
-
7
G
gemini-3-pro
gemini-3-proGoogle
98.3
19K
1.05M
¥14.4 / ¥86.4输入/输出
8
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.1
20.5K
1.05M
¥14.4 / ¥86.4输入/输出
9
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.8
9.5K
-
-
10
Ggemini-3.5-flash
gemini-3.5-flashGoogle
97.5
4.4K
1.05M
¥10.8 / ¥64.8输入/输出
11
B
ernie-5.1
ernie-5.1Baidu
97.2
6.9K
119K
¥5.4 / ¥21.6输入/输出
12
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
96.9
7.2K
1.05M
¥7.2 / ¥21.6输入/输出
13
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
96.7
1.8K
1M
¥18 / ¥54输入/输出
14
O
gpt-5.4-high
gpt-5.4-highOpenai
96.4
13.1K
1.05M
¥18 / ¥108输入/输出
15
Ogpt-5.5-high
gpt-5.5-highOpenai
96.1
8K
1.05M
¥36 / ¥216输入/输出
16
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
95.8
13.1K
1M
¥21.6 / ¥108输入/输出
17
Ggemini-3-flash
gemini-3-flashGoogle
95.5
14.1K
1.05M
¥3.6 / ¥21.6输入/输出
18
Ogpt-5.5
gpt-5.5Openai
95.3
8.2K
1.05M
¥36 / ¥216输入/输出
19
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
95.0
30.8K
200K
¥36 / ¥180输入/输出
20
M
kimi-k2.6
kimi-k2.6Moonshot
94.7
7.1K
262K
¥6.84 / ¥28.8输入/输出
21
Ogpt-5.4
gpt-5.4Openai
94.4
14K
1.05M
¥18 / ¥108输入/输出
22
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
94.2
17K
200K
¥108 / ¥540输入/输出
23
Ggemini-2.5-pro
gemini-2.5-proGoogle
93.9
58.1K
1.05M
¥9 / ¥72输入/输出
24
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.6
13.7K
2M
¥14.4 / ¥43.2输入/输出
25
Zglm-5
glm-5Zai
93.3
10.2K
205K
¥7.2 / ¥23输入/输出
26
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
93.0
1.6K
-
-
27
D
deepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
92.8
7.3K
1M
¥3.13 / ¥6.26输入/输出
28
Zglm-4.7
glm-4.7Zai
92.5
5.6K
205K
¥0 / ¥0输入/输出
29
MImimo-v2-pro
mimo-v2-proXiaomi
92.2
10.1K
1.05M
¥7.2 / ¥21.6输入/输出
30
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
91.9
11.4K
128K
¥1.08 / ¥10.8输入/输出
31
Xgrok-4.20-beta1
grok-4.20-beta1Xai
91.6
11.6K
2M
¥14.4 / ¥43.2输入/输出
32
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
91.4
13.4K
2M
¥14.4 / ¥43.2输入/输出
33
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
91.1
16.4K
262K
¥4.32 / ¥21.6输入/输出
34
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
90.8
7.7K
1M
¥3.13 / ¥6.26输入/输出
35
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
90.5
36.3K
200K
¥21.6 / ¥108输入/输出
36
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
90.3
36.6K
200K
¥21.6 / ¥108输入/输出
37
Ggemma-4-31b
gemma-4-31bGoogle
90.0
2.6K
262K
¥3.24 / ¥7.2输入/输出
38
Ogpt-5.1-high
gpt-5.1-highOpenai
89.7
18.8K
400K
¥9 / ¥72输入/输出
39
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
89.4
15.2K
262K
¥3.1 / ¥18.6输入/输出
40
MImimo-v2.5
mimo-v2.5Xiaomi
89.1
7.4K
1.05M
¥2.88 / ¥14.4输入/输出
41
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
88.9
17.5K
-
-
42
Zglm-4.6
glm-4.6Zai
88.6
17.2K
205K
¥4.32 / ¥15.8输入/输出
43
Bernie-5.0-0110
ernie-5.0-0110Baidu
88.3
15.3K
128K
¥7.92 / ¥14.4输入/输出
44
Xgrok-4.1
grok-4.1Xai
88.0
30.6K
200K
¥14.4 / ¥72输入/输出
45
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
87.7
24.7K
1.05M
¥3.6 / ¥21.6输入/输出
46
Aqwen3.6-plus
qwen3.6-plusAlibaba
87.5
8.3K
1M
¥3.6 / ¥21.6输入/输出
47
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
87.2
2.1K
246K
¥9.5 / ¥56.9输入/输出
48
Xgrok-4.1-thinking
grok-4.1-thinkingXai
86.9
29.5K
200K
¥14.4 / ¥72输入/输出
49
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
86.6
15.1K
400K
¥12.6 / ¥101输入/输出
50
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
86.4
2.5K
262K
¥0.94 / ¥2.88输入/输出
51
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
86.1
18.1K
128K
¥2.09 / ¥3.1输入/输出
52
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
85.8
4.4K
128K
¥0 / ¥0输入/输出
53
MA
mistral-large-3
mistral-large-3Mistral
85.5
19.9K
262K
¥3.6 / ¥10.8输入/输出
54
Mlongcat-flash-chat
longcat-flash-chatMeituan
85.2
5.4K
128K
¥1.08 / ¥10.8输入/输出
55
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
85.0
4.6K
128K
¥7.92 / ¥14.4输入/输出
56
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
84.7
1.7K
-
-
57
Aqwen3-max-preview
qwen3-max-previewAlibaba
84.4
13K
262K
¥6.2 / ¥24.8输入/输出
58
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
84.1
5.7K
128K
¥0 / ¥0输入/输出
59
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
83.8
7.7K
1M
¥1.01 / ¥2.02输入/输出
60
MAmistral-medium-2508
mistral-medium-2508Mistral
83.6
43.4K
262K
¥2.88 / ¥14.4输入/输出
61
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
83.3
18.1K
1M
¥9 / ¥18输入/输出
62
Ddeepseek-v3.2
deepseek-v3.2Deepseek
83.0
20.9K
128K
¥2.09 / ¥3.1输入/输出
63
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
82.7
8.9K
164K
¥3.6 / ¥15.5输入/输出
64
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
82.5
7.6K
1M
¥1.01 / ¥2.02输入/输出
65
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
82.2
23.6K
200K
¥108 / ¥540输入/输出
66
Zglm-4.5
glm-4.5Zai
81.9
11.4K
131K
¥4.32 / ¥15.8输入/输出
67
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
81.6
3.7K
262K
¥4.32 / ¥21.6输入/输出
68
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
81.3
41.2K
128K
¥18 / ¥72输入/输出
69
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
81.1
5.3K
128K
¥1.44 / ¥5.04输入/输出
70
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
80.8
2.4K
128K
¥7.92 / ¥14.4输入/输出
71
Ddeepseek-v3.1
deepseek-v3.1Deepseek
80.5
6.8K
128K
¥1.44 / ¥5.04输入/输出
72
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
80.2
20.2K
262K
¥0.72 / ¥2.16输入/输出
73
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
79.9
5.6K
128K
¥2.16 / ¥8.64输入/输出
74
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
79.7
1.7K
128K
¥1.8 / ¥5.04输入/输出
75
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
79.4
12.5K
262K
¥2.88 / ¥23输入/输出
76
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
79.1
36.4K
200K
¥108 / ¥540输入/输出
77
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
78.8
27.5K
262K
¥17.3 / ¥72输入/输出
78
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
78.6
4.4K
131K
¥2.07 / ¥8.26输入/输出
79
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
78.3
10.9K
131K
¥1.04 / ¥4.13输入/输出
80
Ogpt-5.1
gpt-5.1Openai
78.0
20.1K
400K
¥9 / ¥72输入/输出
81
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
77.7
44.2K
128K
¥2.09 / ¥8.23输入/输出
82
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
77.4
11.7K
-
-
83
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
77.2
1.9K
128K
¥1.8 / ¥5.04输入/输出
84
Ogpt-5.2-high
gpt-5.2-highOpenai
76.9
21.3K
400K
¥12.6 / ¥101输入/输出
85
Aqwen3.5-27b
qwen3.5-27bAlibaba
76.6
12.1K
262K
¥2.16 / ¥17.3输入/输出
86
M
minimax-m2.7
minimax-m2.7Minimax
76.3
10.5K
205K
¥0 / ¥0输入/输出
87
Ogpt-5.5-instant
gpt-5.5-instantOpenai
76.0
12K
400K
¥9 / ¥72输入/输出
88
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
75.8
4.5K
258K
¥6.19 / ¥24.7输入/输出
89
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
75.5
8.4K
8.19K
¥216 / ¥432输入/输出
90
MImimo-v2-omni
mimo-v2-omniXiaomi
75.2
1.4K
262K
¥2.88 / ¥14.4输入/输出
91
Xgrok-4-0709
grok-4-0709Xai
74.9
20.3K
256K
¥21.6 / ¥108输入/输出
92
Ggemini-2.5-flash
gemini-2.5-flashGoogle
74.7
58.4K
1.05M
¥2.16 / ¥18输入/输出
93
ST
step-3.5-flash
step-3.5-flashStepfun
74.4
15.2K
256K
¥0.69 / ¥2.07输入/输出
94
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
74.1
25.3K
2M
¥1.44 / ¥3.6输入/输出
95
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
73.8
3.9K
131K
¥2.06 / ¥8.26输入/输出
96
TE
hunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
73.5
1.1K
-
-
97
Xgrok-4-fast-chat
grok-4-fast-chatXai
73.3
3.2K
2M
¥1.44 / ¥3.6输入/输出
98
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
73.0
1.6K
-
-
99
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
72.7
16.5K
1.05M
¥1.8 / ¥10.8输入/输出
100
Xgrok-4.3
grok-4.3Xai
72.4
7.8K
1M
¥9 / ¥18输入/输出
101
Oo3-2025-04-16
o3-2025-04-16Openai
72.1
30.2K
200K
¥14.4 / ¥57.6输入/输出
102
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
71.9
12.5K
400K
¥5.4 / ¥32.4输入/输出
103
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.6
2.8K
256K
¥0 / ¥0输入/输出
104
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
71.3
5.6K
-
-
105
Ogpt-5.2
gpt-5.2Openai
71.0
21.9K
400K
¥12.6 / ¥101输入/输出
106
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
70.8
36.9K
200K
¥7.2 / ¥36输入/输出
107
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
70.5
15.9K
1M
¥2.16 / ¥18输入/输出
108
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
70.2
4.9K
262K
¥0.72 / ¥2.16输入/输出
109
Ogpt-5-high
gpt-5-highOpenai
69.9
15.2K
400K
¥9 / ¥72输入/输出
110
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
69.6
12.7K
262K
¥1.8 / ¥14.4输入/输出
111
Ogpt-5-chat
gpt-5-chatOpenai
69.4
15K
400K
¥9 / ¥72输入/输出
112
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
69.1
9.3K
2M
¥1.44 / ¥3.6输入/输出
113
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
68.8
7.6K
205K
¥0 / ¥0输入/输出
114
Aqwen3.5-flash
qwen3.5-flashAlibaba
68.5
13.2K
1M
¥1.24 / ¥12.4输入/输出
115
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
68.2
3.4K
262K
¥1.44 / ¥5.76输入/输出
116
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
68.0
18.6K
131K
¥2.07 / ¥8.26输入/输出
117
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
67.7
2.1K
131K
¥0 / ¥0输入/输出
118
Zglm-4.5-air
glm-4.5-airZai
67.4
14.8K
131K
¥0 / ¥0输入/输出
119
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
67.1
6.6K
131K
¥1.04 / ¥10.3输入/输出
120
Zglm-4.6v
glm-4.6vZai
66.9
1.3K
128K
¥2.16 / ¥6.48输入/输出
121
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
66.6
11.1K
262K
¥2.16 / ¥3.6输入/输出
122
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
66.3
25.7K
1.05M
¥14.4 / ¥57.6输入/输出
123
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
66.0
14.4K
128K
¥12.6 / ¥101输入/输出
124
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
65.7
23.3K
75K
¥1.44 / ¥5.76输入/输出
125
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
65.5
17.5K
200K
¥108 / ¥540输入/输出
126
Ddeepseek-r1
deepseek-r1Deepseek
65.2
10.7K
164K
¥5.04 / ¥18输入/输出
127
MAmistral-medium-2505
mistral-medium-2505Mistral
64.9
16.7K
262K
¥2.88 / ¥14.4输入/输出
128
Mminimax-m2.5
minimax-m2.5Minimax
64.6
16.7K
205K
¥0 / ¥0输入/输出
129
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
64.3
5.7K
131K
¥0 / ¥0输入/输出
130
Anova-2-lite
nova-2-liteAmazon
64.1
5.8K
128K
¥2.38 / ¥19.8输入/输出
131
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
63.8
12.2K
400K
¥1.44 / ¥9输入/输出
132
AG
ling-flash-2.0
ling-flash-2.0Ant Group
63.5
3.4K
131K
¥1.01 / ¥4.1输入/输出
133
Oo1-preview
o1-previewOpenai
63.2
15.9K
128K
¥108 / ¥432输入/输出
134
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
63.0
1.4K
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-
135
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
62.7
5.5K
262K
¥4.32 / ¥18输入/输出
136
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
62.4
22.6K
1.05M
¥0.72 / ¥2.88输入/输出
137
UNintellect-3
-
62.1
2.6K
131K
¥1.44 / ¥7.92输入/输出
138
Ogpt-5-mini-high
gpt-5-mini-highOpenai
61.8
12.7K
400K
¥1.8 / ¥14.4输入/输出
139
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
61.6
7.2K
131K
¥0 / ¥0输入/输出
140
IA
mercury-2
mercury-2Inception Ai
61.3
1.4K
128K
¥1.8 / ¥5.4输入/输出
141
Xgrok-3-mini-high
grok-3-mini-highXai
61.0
8.4K
128K
¥0 / ¥0输入/输出
142
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
60.7
13.5K
131K
¥2.07 / ¥8.26输入/输出
143
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
60.4
13.2K
131K
¥4.32 / ¥18输入/输出
144
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
60.2
21.5K
200K
¥108 / ¥540输入/输出
145
Zglm-4.7-flash
glm-4.7-flashZai
59.9
5.3K
200K
¥0 / ¥0输入/输出
146
Aqwen2.5-max
qwen2.5-maxAlibaba
59.6
18.7K
32K
¥11.5 / ¥46输入/输出
147
Ggemma-3-27b-it
gemma-3-27b-itGoogle
59.3
24.8K
128K
¥2.15 / ¥2.15输入/输出
148
Ogpt-oss-120b
gpt-oss-120bOpenai
59.1
14.7K
131K
¥1.08 / ¥4.32输入/输出
149
Xgrok-3-mini-beta
grok-3-mini-betaXai
58.8
11.6K
1M
¥9 / ¥18输入/输出
150
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
58.5
15.8K
65.5K
¥0.72 / ¥2.88输入/输出
151
Oo1-2024-12-17
o1-2024-12-17Openai
58.2
16.3K
128K
¥108 / ¥432输入/输出
152
STstep-3
step-3Stepfun
57.9
3.2K
65.5K
¥1.8 / ¥4.68输入/输出
153
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
57.7
23K
200K
¥7.92 / ¥31.7输入/输出
154
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
57.4
16.8K
200K
¥21.6 / ¥108输入/输出
155
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
57.1
24.8K
1.05M
¥1.08 / ¥4.32输入/输出
156
AGring-flash-2.0
ring-flash-2.0Ant Group
56.8
3.5K
131K
¥1.01 / ¥4.1输入/输出
157
Mminimax-m2
minimax-m2Minimax
56.5
3.4K
197K
¥0 / ¥0输入/输出
158
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
56.3
12.4K
262K
¥6.2 / ¥24.8输入/输出
159
MAmistral-small-2506
mistral-small-2506Mistral
56.0
8.5K
262K
¥2.88 / ¥14.4输入/输出
160
Mminimax-m1
minimax-m1Minimax
55.7
16.9K
1M
¥0.95 / ¥9.03输入/输出
161
UNtrinity-large-thinking
-
55.4
11.3K
262K
¥1.8 / ¥6.48输入/输出
162
Zglm-4.5v
glm-4.5vZai
55.2
2.4K
64K
¥4.32 / ¥13输入/输出
163
Aqwen3-32b
qwen3-32bAlibaba
54.9
2.2K
131K
¥2.07 / ¥8.26输入/输出
164
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
54.6
1.5K
131K
¥2.88 / ¥2.88输入/输出
165
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
54.3
19.8K
1.05M
¥2.88 / ¥11.5输入/输出
166
UNtrinity-large-preview
-
54.0
13.2K
262K
¥1.8 / ¥6.48输入/输出
167
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
53.8
1.3K
131K
¥0 / ¥0输入/输出
168
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
53.5
4.4K
-
-
169
Oo3-mini-high
o3-mini-highOpenai
53.2
11.1K
200K
¥7.92 / ¥31.7输入/输出
170
Aqwq-32b
qwq-32bAlibaba
52.9
13.7K
131K
¥2.07 / ¥6.2输入/输出
171
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
52.6
5.5K
200K
¥14.4 / ¥57.6输入/输出
172
Ggemma-3-12b-it
gemma-3-12b-itGoogle
52.4
2.3K
128K
¥1.96 / ¥1.96输入/输出
173
Ddeepseek-v3
deepseek-v3Deepseek
52.1
12.9K
128K
¥0 / ¥0输入/输出
174
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
51.8
19.5K
200K
¥21.6 / ¥108输入/输出
175
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
51.5
2.8K
16.4K
¥37.5 / ¥118输入/输出
176
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
51.3
1.5K
128K
¥4.32 / ¥13输入/输出
177
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
51.0
2.8K
128K
¥2.16 / ¥3.24输入/输出
178
CO
command-a-03-2025
command-a-03-2025Cohere
50.7
28.5K
256K
¥18 / ¥72输入/输出
179
Zglm-4-plus-0111
glm-4-plus-0111Zai
50.4
3.5K
128K
¥72 / ¥72输入/输出
180
Oo1-mini
o1-miniOpenai
50.1
27.4K
128K
¥7.92 / ¥31.7输入/输出
181
Aqwen-plus-0125
qwen-plus-0125Alibaba
49.9
3.4K
1M
¥0.83 / ¥2.07输入/输出
182
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
49.6
3.8K
200K
¥14.4 / ¥57.6输入/输出
183
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
49.3
13.4K
128K
¥0.79 / ¥7.78输入/输出
184
Oo3-mini
o3-miniOpenai
49.0
30.4K
200K
¥7.92 / ¥31.7输入/输出
185
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
48.7
1.3K
131K
¥0 / ¥0输入/输出
186
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
48.5
14.9K
1.05M
¥0.54 / ¥2.16输入/输出
187
UNyi-lightning
-
48.2
13.7K
12K
¥1.44 / ¥1.44输入/输出
188
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
47.9
1.3K
-
-
189
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
47.6
20.3K
-
-
190
Ogpt-5-nano-high
gpt-5-nano-highOpenai
47.4
4K
400K
¥0.36 / ¥2.88输入/输出
191
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
47.1
30.1K
-
-
192
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
46.8
5.8K
-
-
193
IB
granite-4.1-8b
granite-4.1-8bIbm
46.5
1.7K
131K
¥0.36 / ¥0.72输入/输出
194
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
46.2
34.4K
1M
¥9 / ¥18输入/输出
195
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
46.0
11K
128K
¥0 / ¥0输入/输出
196
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
45.7
3.7K
128K
¥0 / ¥0输入/输出
197
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
45.4
60.2K
128K
¥36 / ¥108输入/输出
198
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
45.1
23.3K
128K
¥0 / ¥0输入/输出
199
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
44.8
23.5K
200K
¥21.6 / ¥108输入/输出
200
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
44.6
3.8K
1M
¥1.01 / ¥2.02输入/输出
201
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
44.3
32.4K
128K
¥0 / ¥0输入/输出
202
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
44.0
46.5K
200K
¥21.6 / ¥108输入/输出
203
AImolmo-2-8b
molmo-2-8bAllenai
43.7
376
-
-
204
UNathene-v2-chat
-
43.5
13.7K
-
-
205
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
43.2
2.3K
-
-
206
IAmercury
mercuryInception Ai
42.9
943
128K
¥1.8 / ¥5.4输入/输出
207
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
42.6
30.2K
128K
¥0 / ¥0输入/输出
208
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
42.3
14.4K
128K
¥1.44 / ¥5.62输入/输出
209
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
42.1
20.4K
1M
¥1.8 / ¥6.26输入/输出
210
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
41.8
3.5K
1.05M
¥14.4 / ¥57.6输入/输出
211
Ogpt-oss-20b
gpt-oss-20bOpenai
41.5
5.1K
131K
¥0.32 / ¥1.3输入/输出
212
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
41.2
37.8K
128K
¥1.08 / ¥4.32输入/输出
213
Ggemma-3-4b-it
gemma-3-4b-itGoogle
40.9
2.6K
128K
¥1.44 / ¥1.44输入/输出
214
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
40.7
15.9K
262K
¥2.88 / ¥14.4输入/输出
215
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
40.4
28.4K
1M
¥9 / ¥18输入/输出
216
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
40.1
25.3K
128K
¥18 / ¥72输入/输出
217
Zglm-4-plus
glm-4-plusZai
39.8
13.2K
128K
¥54 / ¥54输入/输出
218
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
39.6
29.7K
131K
¥2.88 / ¥2.88输入/输出
219
Aqwen-max-0919
qwen-max-0919Alibaba
39.3
8.3K
131K
¥2.48 / ¥9.91输入/输出
220
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
39.0
55.1K
128K
¥72 / ¥216输入/输出
221
MAmistral-large-2407
mistral-large-2407Mistral
38.7
24.9K
131K
¥14.4 / ¥43.2输入/输出
222
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
38.4
18.4K
2M
¥0.54 / ¥2.2输入/输出
223
UNathene-70b-0725
-
38.2
11.3K
-
-
224
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
37.9
44.4K
200K
¥21.6 / ¥108输入/输出
225
Ddeepseek-v2.5
deepseek-v2.5Deepseek
37.6
12.8K
1M
¥1.01 / ¥2.02输入/输出
226
MAmistral-large-2411
mistral-large-2411Mistral
37.3
16.3K
128K
¥14.4 / ¥43.2输入/输出
227
TEhunyuan-large-vision
hunyuan-large-visionTencent
37.0
2.8K
-
-
228
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
36.8
20.6K
131K
¥4.13 / ¥12.4输入/输出
229
Ggemini-advanced-0514
gemini-advanced-0514Google
36.5
26.3K
-
-
230
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
36.2
2.3K
-
-
231
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
35.9
42.5K
-
-
232
Mllama-3-70b-instruct
llama-3-70b-instructMeta
35.7
90.6K
8.19K
¥3.67 / ¥5.33输入/输出
233
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
35.4
64.7K
8.19K
¥216 / ¥432输入/输出
234
MAmagistral-medium-2506
magistral-medium-2506Mistral
35.1
5K
128K
¥14.4 / ¥36输入/输出
235
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
34.8
55K
8.19K
¥216 / ¥432输入/输出
236
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
34.5
14.2K
300K
¥5.76 / ¥23输入/输出
237
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
34.3
1.6K
-
-
238
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
34.0
37.4K
200K
¥5.76 / ¥28.8输入/输出
239
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
33.7
1.8K
128K
¥0 / ¥0输入/输出
240
UNjamba-1.5-large
-
33.4
4.9K
256K
¥0 / ¥0输入/输出
241
IBibm-granite-h-small
ibm-granite-h-smallIbm
33.1
2.8K
-
-
242
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
32.9
108.4K
200K
¥108 / ¥540输入/输出
243
UNreka-core-20240904
-
32.6
3.9K
-
-
244
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
32.3
8.7K
262K
¥2.88 / ¥14.4输入/输出
245
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
32.0
2K
-
-
246
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
31.8
2.7K
131K
¥2.07 / ¥6.2输入/输出
247
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
31.5
33.8K
2M
¥0.54 / ¥2.2输入/输出
248
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
31.2
11K
300K
¥0.43 / ¥1.73输入/输出
249
UNgemma-2-9b-it-simpo
-
30.9
5.8K
8.19K
¥1.44 / ¥1.44输入/输出
250
Zglm-4-0520
glm-4-0520Zai
30.6
5.2K
128K
¥108 / ¥108输入/输出
251
Ggemma-2-27b-it
gemma-2-27b-itGoogle
30.4
41.3K
8.19K
¥0.58 / ¥0.58输入/输出
252
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
30.1
5.3K
128K
¥18 / ¥72输入/输出
253
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
29.8
10.3K
-
-
254
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
29.5
18.5K
2M
¥0.54 / ¥2.2输入/输出
255
M
phi-4
phi-4Microsoft
29.2
14.1K
128K
¥0.9 / ¥3.6输入/输出
256
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
29.0
14.4K
-
-
257
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
28.7
61K
200K
¥21.6 / ¥108输入/输出
258
UNjamba-1.5-mini
-
28.4
5.1K
256K
¥0 / ¥0输入/输出
259
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
28.1
11K
128K
¥0.25 / ¥1.01输入/输出
260
UNreka-flash-20240904
-
27.9
4K
65.5K
¥0.72 / ¥1.44输入/输出
261
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
27.6
19.9K
131K
¥4.13 / ¥12.4输入/输出
262
Ogpt-4-0314
gpt-4-0314Openai
27.3
35.5K
8.19K
¥216 / ¥432输入/输出
263
Ggemma-2-9b-it
gemma-2-9b-itGoogle
27.0
29.8K
8.19K
¥1.44 / ¥1.44输入/输出
264
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
26.7
26.6K
131K
¥0.79 / ¥0.79输入/输出
265
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
26.5
1.3K
-
-
266
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
26.2
1.6K
-
-
267
UNyi-1.5-34b-chat
-
25.9
12.5K
-
-
268
Mllama-3-8b-instruct
llama-3-8b-instructMeta
25.6
61.7K
8.19K
¥0.29 / ¥0.29输入/输出
269
COcommand-r-plus
command-r-plusCohere
25.3
42.4K
128K
¥18 / ¥72输入/输出
270
MAministral-8b-2410
ministral-8b-2410Mistral
25.1
2.3K
128K
¥0.72 / ¥0.72输入/输出
271
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
24.8
64.5K
200K
¥1.8 / ¥9输入/输出
272
Ogpt-4-0613
gpt-4-0613Openai
24.5
57.5K
8.19K
¥216 / ¥432输入/输出
273
UNinternlm2_5-20b-chat
-
24.2
5K
-
-
274
MAmistral-large-2402
mistral-large-2402Mistral
24.0
36.8K
262K
¥2.88 / ¥14.4输入/输出
275
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
23.7
13.9K
-
-
276
COcommand-r-08-2024
command-r-08-2024Cohere
23.4
5.4K
128K
¥18 / ¥72输入/输出
277
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
23.1
8.1K
1M
¥1.01 / ¥2.02输入/输出
278
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
22.8
5.5K
-
-
279
MAmistral-medium
mistral-mediumMistral
22.6
23.8K
262K
¥2.88 / ¥14.4输入/输出
280
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
22.3
1.7K
-
-
281
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
22.0
29.9K
64K
¥14.4 / ¥43.2输入/输出
282
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
21.7
25K
-
-
283
Aqwq-32b-preview
qwq-32b-previewAlibaba
21.4
1.8K
131K
¥2.07 / ¥6.2输入/输出
284
Ggemma-2-2b-it
gemma-2-2b-itGoogle
21.2
25.7K
128K
¥0 / ¥0输入/输出
285
UNreka-flash-21b-20240226-online
-
20.9
8.9K
-
-
286
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
20.6
4.2K
131K
¥0.22 / ¥0.35输入/输出
287
UNreka-flash-21b-20240226
-
20.3
14.4K
-
-
288
UNzephyr-orpo-141b-A35b-v0.1
-
20.1
2.7K
200K
¥108 / ¥432输入/输出
289
COcommand-r
command-rCohere
19.8
29.6K
128K
¥18 / ¥72输入/输出
290
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
19.5
1.7K
-
-
291
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
19.2
13.3K
4.1K
¥1.22 / ¥4.9输入/输出
292
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
18.9
46.3K
32K
¥5.04 / ¥5.04输入/输出
293
UNstarling-lm-7b-beta
-
18.7
9.1K
200K
¥5.4 / ¥18.7输入/输出
294
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
18.4
12.5K
1.05M
¥14.4 / ¥86.4输入/输出
295
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
18.1
11.9K
-
-
296
UNyi-34b-chat
-
17.8
10.6K
-
-
297
Mllama-2-70b-chat
llama-2-70b-chatMeta
17.5
26K
-
-
298
UNdbrx-instruct-preview
-
17.3
18.1K
-
-
299
Ggemini-pro
gemini-proGoogle
17.0
5.1K
1.05M
¥14.4 / ¥86.4输入/输出
300
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
16.7
9.1K
8.19K
¥1.08 / ¥4.32输入/输出
301
Mwizardlm-70b
wizardlm-70bMicrosoft
16.4
6.4K
-
-
302
UNtulu-2-dpo-70b
-
16.2
5K
-
-
303
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
15.9
3.3K
-
-
304
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
15.6
9.5K
-
-
305
UNnous-hermes-2-mixtral-8x7b-dpo
-
15.3
3K
1M
¥36 / ¥180输入/输出
306
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
15.0
40K
16.4K
¥3.6 / ¥10.8输入/输出
307
UNstarling-lm-7b-alpha
-
14.8
7.2K
200K
¥5.4 / ¥18.7输入/输出
308
UNvicuna-33b
-
14.5
16.7K
-
-
309
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
14.2
12.7K
262K
¥2.88 / ¥14.4输入/输出
310
UNopenchat-3.5-0106
-
13.9
8.2K
-
-
311
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
13.6
6.7K
4.1K
¥0.94 / ¥3.74输入/输出
312
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
13.4
3.8K
1M
¥1.01 / ¥2.02输入/输出
313
UNopenhermes-2.5-mistral-7b
-
13.1
3.9K
1M
¥36 / ¥180输入/输出
314
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
12.8
12.7K
-
-
315
UNsnowflake-arctic-instruct
-
12.5
20.4K
-
-
316
Mllama-2-13b-chat
llama-2-13b-chatMeta
12.3
13.9K
-
-
317
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
12.0
2.8K
-
-
318
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
11.7
3.3K
-
-
319
UNopenchat-3.5
-
11.4
6.2K
-
-
320
UNsolar-10.7b-instruct-v1.0
-
11.1
3.3K
128K
¥0 / ¥0输入/输出
321
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
10.9
10.3K
4.1K
¥0.94 / ¥3.74输入/输出
322
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
10.6
4.3K
16.4K
¥0.07 / ¥0.08输入/输出
323
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
10.3
12.9K
16.4K
¥7.2 / ¥14.4输入/输出
324
UNdolphin-2.2.1-mistral-7b
-
10.0
1.3K
262K
¥2.88 / ¥14.4输入/输出
325
UNzephyr-7b-beta
-
9.7
8.8K
-
-
326
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
9.5
3.2K
-
-
327
UNmpt-30b-chat
-
9.2
2.1K
-
-
328
Mwizardlm-13b
wizardlm-13bMicrosoft
8.9
5.5K
-
-
329
Mcodellama-70b-instruct
codellama-70b-instructMeta
8.6
695
-
-
330
Mllama-2-7b-chat
llama-2-7b-chatMeta
8.4
10.3K
128K
¥4.03 / ¥48输入/输出
331
UNsmollm2-1.7b-instruct
-
8.1
1.1K
-
-
332
Mcodellama-34b-instruct
codellama-34b-instructMeta
7.8
5.8K
-
-
333
UNzephyr-7b-alpha
-
7.5
1.4K
-
-
334
Ggemma-7b-it
gemma-7b-itGoogle
7.2
5.7K
-
-
335
UNguanaco-33b
-
7.0
2.4K
200K
¥14.4 / ¥57.6输入/输出
336
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
6.7
12.6K
128K
¥0.94 / ¥3.74输入/输出
337
UNfalcon-180b-chat
-
6.4
1K
-
-
338
UNvicuna-13b
-
6.1
14.8K
-
-
339
UNstripedhyena-nous-7b
-
5.8
4K
-
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340
Aqwen-14b-chat
qwen-14b-chatAlibaba
5.6
3.8K
32.8K
¥1.04 / ¥3.1输入/输出
341
AIolmo-7b-instruct
olmo-7b-instructAllenai
5.3
4K
-
-
342
Gpalm-2
palm-2Google
5.0
6.9K
-
-
343
MAmistral-7b-instruct
mistral-7b-instructMistral
4.7
7.1K
262K
¥2.88 / ¥14.4输入/输出
344
UNvicuna-7b
-
4.5
5.6K
-
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345
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.2
5.9K
-
-
346
Ggemma-2b-it
gemma-2b-itGoogle
3.9
3K
-
-
347
UNkoala-13b
-
3.6
5.7K
-
-
348
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.3
4.8K
-
-
349
UNchatglm3-6b
-
3.1
3.6K
200K
¥5.4 / ¥18.7输入/输出
350
UNgpt4all-13b-snoozy
-
2.8
1.4K
1M
¥36 / ¥216输入/输出
351
UNmpt-7b-chat
-
2.5
3.3K
-
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352
UNchatglm2-6b
-
2.2
2.1K
200K
¥5.4 / ¥18.7输入/输出
353
UNRWKV-4-Raven-14B
-
1.9
4K
-
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354
UNalpaca-13b
-
1.7
4.8K
-
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355
UNoasst-pythia-12b
-
1.4
5.2K
-
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356
UNchatglm-6b
-
1.1
4.1K
200K
¥5.4 / ¥18.7输入/输出
357
UNfastchat-t5-3b
-
0.8
3.4K
-
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358
UNstablelm-tuned-alpha-7b
-
0.6
2.7K
-
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359
UNdolly-v2-12b
-
0.3
2.8K
-
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360
Mllama-13b
llama-13bMeta
0.0
2K
-
-
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 15.7K。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
英文常见问题
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。
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。