1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
8.1K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 写作、文学与语言排行榜
基于公开偏好评测数据展示 文本 / 写作、文学与语言 榜单，每个榜单独立排序。
写作、文学与语言模型怎么选？
写作、文学与语言排行榜用于回答“写作、文学与语言哪个 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 8.1K。 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-4-7gemini-3.1-pro-preview
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
8.4K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.4
4.7K
1M
¥36 / ¥180输入/输出
4
Aclaude-opus-4-7
claude-opus-4-7Anthropic
99.2
5K
1M
¥36 / ¥180输入/输出
5
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.9
10.2K
1.05M
¥14.4 / ¥86.4输入/输出
6
Ggemini-3-pro
gemini-3-proGoogle
98.6
9.3K
1.05M
¥14.4 / ¥86.4输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.3
2.1K
1.05M
¥10.8 / ¥64.8输入/输出
8
O
gpt-5.5-high
gpt-5.5-highOpenai
98.0
4K
1.05M
¥36 / ¥216输入/输出
9
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.8
4.6K
-
-
10
Ogpt-5.5
gpt-5.5Openai
97.5
4.1K
1.05M
¥36 / ¥216输入/输出
11
Ogpt-5.4-high
gpt-5.4-highOpenai
97.2
6.7K
1.05M
¥18 / ¥108输入/输出
12
Z
glm-5.1
glm-5.1Zai
96.9
3.2K
200K
¥0 / ¥0输入/输出
13
Ggemini-3-flash
gemini-3-flashGoogle
96.6
6.8K
1.05M
¥3.6 / ¥21.6输入/输出
14
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
96.4
866
1M
¥18 / ¥54输入/输出
15
Ggemini-2.5-pro
gemini-2.5-proGoogle
96.1
27.3K
1.05M
¥9 / ¥72输入/输出
16
Ogpt-5.4
gpt-5.4Openai
95.8
7K
1.05M
¥18 / ¥108输入/输出
17
M
muse-spark
muse-sparkMeta
95.5
2.8K
-
-
18
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
95.3
3.7K
1.05M
¥7.2 / ¥21.6输入/输出
19
B
ernie-5.1
ernie-5.1Baidu
95.0
3.3K
119K
¥5.4 / ¥21.6输入/输出
20
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
94.7
15.1K
200K
¥36 / ¥180输入/输出
21
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
94.4
989
246K
¥9.5 / ¥56.9输入/输出
22
D
deepseek-v4-pro
deepseek-v4-proDeepseek
94.1
3.9K
1M
¥3.13 / ¥6.26输入/输出
23
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
93.9
8.3K
200K
¥108 / ¥540输入/输出
24
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
93.6
6.3K
1M
¥21.6 / ¥108输入/输出
25
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
93.3
17.2K
200K
¥21.6 / ¥108输入/输出
26
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.0
6.9K
2M
¥14.4 / ¥43.2输入/输出
27
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.7
12K
1.05M
¥3.6 / ¥21.6输入/输出
28
Zglm-5
glm-5Zai
92.5
5K
205K
¥7.2 / ¥23输入/输出
29
M
kimi-k2.6
kimi-k2.6Moonshot
92.2
3.6K
262K
¥6.84 / ¥28.8输入/输出
30
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
91.9
3.7K
1M
¥3.13 / ¥6.26输入/输出
31
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
91.6
6.7K
2M
¥14.4 / ¥43.2输入/输出
32
Ggemma-4-31b
gemma-4-31bGoogle
91.3
1.3K
262K
¥3.24 / ¥7.2输入/输出
33
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
91.1
17.7K
200K
¥21.6 / ¥108输入/输出
34
Xgrok-4.20-beta1
grok-4.20-beta1Xai
90.8
5.5K
2M
¥14.4 / ¥43.2输入/输出
35
Ogpt-5.1-high
gpt-5.1-highOpenai
90.5
9.1K
400K
¥9 / ¥72输入/输出
36
Ogpt-5.5-instant
gpt-5.5-instantOpenai
90.2
6.1K
400K
¥9 / ¥72输入/输出
37
Bernie-5.0-0110
ernie-5.0-0110Baidu
89.9
7.7K
128K
¥7.92 / ¥14.4输入/输出
38
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
89.7
8.3K
262K
¥4.32 / ¥21.6输入/输出
39
MImimo-v2-pro
mimo-v2-proXiaomi
89.4
5.2K
1.05M
¥7.2 / ¥21.6输入/输出
40
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
89.1
7.3K
262K
¥3.1 / ¥18.6输入/输出
41
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
88.8
7.5K
400K
¥12.6 / ¥101输入/输出
42
Aqwen3.6-plus
qwen3.6-plusAlibaba
88.5
4.1K
1M
¥3.6 / ¥21.6输入/输出
43
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
88.3
17.2K
200K
¥108 / ¥540输入/输出
44
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
88.0
11K
200K
¥108 / ¥540输入/输出
45
Zglm-4.6
glm-4.6Zai
87.7
8K
205K
¥4.32 / ¥15.8输入/输出
46
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
87.4
18.6K
128K
¥18 / ¥72输入/输出
47
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
87.2
2.2K
128K
¥7.92 / ¥14.4输入/输出
48
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
86.9
8.5K
-
-
49
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
86.6
4.1K
8.19K
¥216 / ¥432输入/输出
50
Zglm-4.7
glm-4.7Zai
86.3
2.8K
205K
¥0 / ¥0输入/输出
51
MImimo-v2.5
mimo-v2.5Xiaomi
86.0
3.7K
1.05M
¥2.88 / ¥14.4输入/输出
52
Ogpt-5.1
gpt-5.1Openai
85.8
9.8K
400K
¥9 / ¥72输入/输出
53
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
85.5
3.9K
1M
¥1.01 / ¥2.02输入/输出
54
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
85.2
7.8K
1M
¥9 / ¥18输入/输出
55
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.9
1.1K
128K
¥7.92 / ¥14.4输入/输出
56
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
84.6
1.3K
262K
¥0.94 / ¥2.88输入/输出
57
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
84.4
8K
1.05M
¥1.8 / ¥10.8输入/输出
58
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
84.1
772
128K
¥1.8 / ¥5.04输入/输出
59
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
83.8
810
128K
¥1.8 / ¥5.04输入/输出
60
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
83.5
2.6K
128K
¥0 / ¥0输入/输出
61
Xgrok-4.1
grok-4.1Xai
83.2
14.4K
200K
¥14.4 / ¥72输入/输出
62
Ggemini-2.5-flash
gemini-2.5-flashGoogle
83.0
27.5K
1.05M
¥2.16 / ¥18输入/输出
63
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
82.7
3.9K
1M
¥1.01 / ¥2.02输入/输出
64
Aqwen3-max-preview
qwen3-max-previewAlibaba
82.4
6.2K
262K
¥6.2 / ¥24.8输入/输出
65
Ddeepseek-v3.2
deepseek-v3.2Deepseek
82.1
10.1K
128K
¥2.09 / ¥3.1输入/输出
66
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
81.8
2.7K
128K
¥1.44 / ¥5.04输入/输出
67
Xgrok-4.1-thinking
grok-4.1-thinkingXai
81.6
14.4K
200K
¥14.4 / ¥72输入/输出
68
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
81.3
4.2K
164K
¥3.6 / ¥15.5输入/输出
69
MA
mistral-large-3
mistral-large-3Mistral
81.0
9.7K
262K
¥3.6 / ¥10.8输入/输出
70
Zglm-4.5
glm-4.5Zai
80.7
5.4K
131K
¥4.32 / ¥15.8输入/输出
71
Xgrok-4-0709
grok-4-0709Xai
80.4
9.1K
256K
¥21.6 / ¥108输入/输出
72
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.2
1.8K
262K
¥4.32 / ¥21.6输入/输出
73
Ddeepseek-v3.1
deepseek-v3.1Deepseek
79.9
3.5K
128K
¥1.44 / ¥5.04输入/输出
74
Xgrok-4.3
grok-4.3Xai
79.6
3.8K
1M
¥9 / ¥18输入/输出
75
MAmistral-medium-2508
mistral-medium-2508Mistral
79.3
20.9K
262K
¥2.88 / ¥14.4输入/输出
76
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
79.1
9.1K
128K
¥2.09 / ¥3.1输入/输出
77
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
78.8
7.3K
1M
¥2.16 / ¥18输入/输出
78
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
78.5
6.2K
400K
¥5.4 / ¥32.4输入/输出
79
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
78.2
2.1K
128K
¥0 / ¥0输入/输出
80
Ogpt-5.2-high
gpt-5.2-highOpenai
77.9
10.6K
400K
¥12.6 / ¥101输入/输出
81
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
77.7
2.4K
128K
¥2.16 / ¥8.64输入/输出
82
Xgrok-4-fast-chat
grok-4-fast-chatXai
77.4
1.5K
2M
¥1.44 / ¥3.6输入/输出
83
Ogpt-5.2
gpt-5.2Openai
77.1
10.7K
400K
¥12.6 / ¥101输入/输出
84
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
76.8
7.9K
200K
¥108 / ¥540输入/输出
85
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
76.5
21.3K
128K
¥2.09 / ¥8.23输入/输出
86
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
76.3
6K
262K
¥2.88 / ¥23输入/输出
87
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
76.0
697
-
-
88
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
75.7
5.4K
128K
¥1.08 / ¥10.8输入/输出
89
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
75.4
2K
258K
¥6.19 / ¥24.7输入/输出
90
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
75.1
1.9K
131K
¥2.07 / ¥8.26输入/输出
91
TE
hunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
74.9
489
-
-
92
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
74.6
10K
262K
¥0.72 / ¥2.16输入/输出
93
Ogpt-5-chat
gpt-5-chatOpenai
74.3
6.8K
400K
¥9 / ¥72输入/输出
94
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
74.0
12.4K
2M
¥1.44 / ¥3.6输入/输出
95
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
73.7
829
-
-
96
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
73.5
1.3K
256K
¥0 / ¥0输入/输出
97
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
73.2
1K
131K
¥0 / ¥0输入/输出
98
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
72.9
17.5K
200K
¥7.2 / ¥36输入/输出
99
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
72.6
9.4K
200K
¥108 / ¥540输入/输出
100
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
72.3
13.7K
262K
¥17.3 / ¥72输入/输出
101
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
72.1
4.2K
2M
¥1.44 / ¥3.6输入/输出
102
Aqwen3.5-27b
qwen3.5-27bAlibaba
71.8
5.8K
262K
¥2.16 / ¥17.3输入/输出
103
Ogpt-5-high
gpt-5-highOpenai
71.5
7K
400K
¥9 / ¥72输入/输出
104
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
71.2
7.1K
128K
¥12.6 / ¥101输入/输出
105
MImimo-v2-omni
mimo-v2-omniXiaomi
70.9
683
262K
¥2.88 / ¥14.4输入/输出
106
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
70.7
7.1K
65.5K
¥0.72 / ¥2.88输入/输出
107
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
70.4
5.7K
-
-
108
M
minimax-m2.1-preview
minimax-m2.1-previewMinimax
70.1
3.9K
205K
¥0 / ¥0输入/输出
109
Oo3-2025-04-16
o3-2025-04-16Openai
69.8
13.3K
200K
¥14.4 / ¥57.6输入/输出
110
Aqwen3.5-flash
qwen3.5-flashAlibaba
69.6
6.6K
1M
¥1.24 / ¥12.4输入/输出
111
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
69.3
11.4K
1.05M
¥14.4 / ¥57.6输入/输出
112
ST
step-3.5-flash
step-3.5-flashStepfun
69.0
8K
256K
¥0.69 / ¥2.07输入/输出
113
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
68.7
8.1K
131K
¥2.07 / ¥8.26输入/输出
114
Mlongcat-flash-chat
longcat-flash-chatMeituan
68.4
2.5K
128K
¥1.08 / ¥10.8输入/输出
115
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
68.2
10.5K
1.05M
¥0.72 / ¥2.88输入/输出
116
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
67.9
6.3K
262K
¥1.8 / ¥14.4输入/输出
117
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
67.6
1.8K
131K
¥2.06 / ¥8.26输入/输出
118
Mminimax-m2.7
minimax-m2.7Minimax
67.3
5.1K
205K
¥0 / ¥0输入/输出
119
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
67.0
10.3K
75K
¥1.44 / ¥5.76输入/输出
120
Ddeepseek-r1
deepseek-r1Deepseek
66.8
5.4K
164K
¥5.04 / ¥18输入/输出
121
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
66.5
2.4K
262K
¥0.72 / ¥2.16输入/输出
122
Oo1-2024-12-17
o1-2024-12-17Openai
66.2
7.7K
128K
¥108 / ¥432输入/输出
123
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
65.9
5.1K
131K
¥1.04 / ¥4.13输入/输出
124
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
65.6
7.5K
200K
¥21.6 / ¥108输入/输出
125
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
65.4
761
-
-
126
Zglm-4.5-air
glm-4.5-airZai
65.1
7K
131K
¥0 / ¥0输入/输出
127
MAmistral-medium-2505
mistral-medium-2505Mistral
64.8
7.2K
262K
¥2.88 / ¥14.4输入/输出
128
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
64.5
2.5K
131K
¥0 / ¥0输入/输出
129
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
64.2
2.5K
-
-
130
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
64.0
8.6K
200K
¥21.6 / ¥108输入/输出
131
Mminimax-m2.5
minimax-m2.5Minimax
63.7
8.5K
205K
¥0 / ¥0输入/输出
132
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
63.4
10.5K
1.05M
¥1.08 / ¥4.32输入/输出
133
Ggemma-3-27b-it
gemma-3-27b-itGoogle
63.1
10.7K
128K
¥2.15 / ¥2.15输入/输出
134
Xgrok-3-mini-high
grok-3-mini-highXai
62.8
3.6K
128K
¥0 / ¥0输入/输出
135
Zglm-4.6v
glm-4.6vZai
62.6
608
128K
¥2.16 / ¥6.48输入/输出
136
Aqwen2.5-max
qwen2.5-maxAlibaba
62.3
8.2K
32K
¥11.5 / ¥46输入/输出
137
Ogpt-5-mini-high
gpt-5-mini-highOpenai
62.0
6.1K
400K
¥1.8 / ¥14.4输入/输出
138
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
61.7
2.6K
262K
¥4.32 / ¥18输入/输出
139
Xgrok-3-mini-beta
grok-3-mini-betaXai
61.5
4.8K
1M
¥9 / ¥18输入/输出
140
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
61.2
5.4K
262K
¥6.2 / ¥24.8输入/输出
141
Oo1-preview
o1-previewOpenai
60.9
8.4K
128K
¥108 / ¥432输入/输出
142
UNintellect-3
-
60.6
1.3K
131K
¥1.44 / ¥7.92输入/输出
143
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
60.3
6K
400K
¥1.44 / ¥9输入/输出
144
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
60.1
5.1K
262K
¥2.16 / ¥3.6输入/输出
145
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
59.8
8.9K
-
-
146
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
59.5
6.2K
131K
¥2.07 / ¥8.26输入/输出
147
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
59.2
1.6K
262K
¥1.44 / ¥5.76输入/输出
148
Ddeepseek-v3
deepseek-v3Deepseek
58.9
5.9K
128K
¥0 / ¥0输入/输出
149
UNtrinity-large-preview
-
58.7
6.5K
262K
¥1.8 / ¥6.48输入/输出
150
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
58.4
3.1K
131K
¥1.04 / ¥10.3输入/输出
151
CO
command-a-03-2025
command-a-03-2025Cohere
58.1
12.8K
256K
¥18 / ¥72输入/输出
152
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
57.8
6K
131K
¥4.32 / ¥18输入/输出
153
Zglm-4-plus-0111
glm-4-plus-0111Zai
57.5
1.5K
128K
¥72 / ¥72输入/输出
154
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
57.3
15K
-
-
155
STstep-3
step-3Stepfun
57.0
1.4K
65.5K
¥1.8 / ¥4.68输入/输出
156
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
56.7
9.8K
200K
¥21.6 / ¥108输入/输出
157
UNtrinity-large-thinking
-
56.4
5.6K
262K
¥1.8 / ¥6.48输入/输出
158
Zglm-4.7-flash
glm-4.7-flashZai
56.1
2.6K
200K
¥0 / ¥0输入/输出
159
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
55.9
618
-
-
160
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
55.6
6.7K
1.05M
¥0.54 / ¥2.16输入/输出
161
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
55.3
8.7K
1.05M
¥2.88 / ¥11.5输入/输出
162
Anova-2-lite
nova-2-liteAmazon
55.0
2.8K
128K
¥2.38 / ¥19.8输入/输出
163
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
54.7
10.1K
200K
¥7.92 / ¥31.7输入/输出
164
Oo3-mini-high
o3-mini-highOpenai
54.5
4.8K
200K
¥7.92 / ¥31.7输入/输出
165
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
54.2
21.9K
200K
¥21.6 / ¥108输入/输出
166
MAmistral-small-2506
mistral-small-2506Mistral
53.9
3.8K
262K
¥2.88 / ¥14.4输入/输出
167
Mminimax-m1
minimax-m1Minimax
53.6
7.8K
1M
¥0.95 / ¥9.03输入/输出
168
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
53.4
1.8K
-
-
169
Ggemma-3-12b-it
gemma-3-12b-itGoogle
53.1
1K
128K
¥1.96 / ¥1.96输入/输出
170
Ogpt-oss-120b
gpt-oss-120bOpenai
52.8
6.7K
131K
¥1.08 / ¥4.32输入/输出
171
Zglm-4.5v
glm-4.5vZai
52.5
1.1K
64K
¥4.32 / ¥13输入/输出
172
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
52.2
1.3K
16.4K
¥37.5 / ¥118输入/输出
173
IA
mercury-2
mercury-2Inception Ai
52.0
696
128K
¥1.8 / ¥5.4输入/输出
174
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
51.7
662
131K
¥0 / ¥0输入/输出
175
Aqwq-32b
qwq-32bAlibaba
51.4
6.2K
131K
¥2.07 / ¥6.2输入/输出
176
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
51.1
614
131K
¥0 / ¥0输入/输出
177
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
50.8
712
128K
¥4.32 / ¥13输入/输出
178
Mminimax-m2
minimax-m2Minimax
50.6
1.5K
197K
¥0 / ¥0输入/输出
179
Aqwen3-32b
qwen3-32bAlibaba
50.3
1.1K
131K
¥2.07 / ¥8.26输入/输出
180
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
50.0
30K
128K
¥36 / ¥108输入/输出
181
AG
ring-flash-2.0
ring-flash-2.0Ant Group
49.7
1.5K
131K
¥1.01 / ¥4.1输入/输出
182
Aqwen-plus-0125
qwen-plus-0125Alibaba
49.4
1.5K
1M
¥0.83 / ¥2.07输入/输出
183
Oo3-mini
o3-miniOpenai
49.2
13.4K
200K
¥7.92 / ¥31.7输入/输出
184
AGling-flash-2.0
ling-flash-2.0Ant Group
48.9
1.5K
131K
¥1.01 / ¥4.1输入/输出
185
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
48.6
9.4K
2M
¥0.54 / ¥2.2输入/输出
186
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
48.3
658
131K
¥2.88 / ¥2.88输入/输出
187
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
48.0
17.4K
1M
¥9 / ¥18输入/输出
188
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
47.8
6K
128K
¥0.79 / ¥7.78输入/输出
189
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
47.5
711
-
-
190
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
47.2
12.1K
128K
¥18 / ¥72输入/输出
191
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
46.9
21K
-
-
192
Ggemma-3-4b-it
gemma-3-4b-itGoogle
46.6
1.1K
128K
¥1.44 / ¥1.44输入/输出
193
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
46.4
3.5K
131K
¥0 / ¥0输入/输出
194
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
46.1
4.9K
128K
¥0 / ¥0输入/输出
195
Ggemini-advanced-0514
gemini-advanced-0514Google
45.8
13.2K
-
-
196
Ogpt-5-nano-high
gpt-5-nano-highOpenai
45.5
1.7K
400K
¥0.36 / ¥2.88输入/输出
197
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
45.3
1.9K
1M
¥1.01 / ¥2.02输入/输出
198
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
45.0
18.5K
128K
¥1.08 / ¥4.32输入/输出
199
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
44.7
21.9K
200K
¥21.6 / ¥108输入/输出
200
Oo1-mini
o1-miniOpenai
44.4
14.3K
128K
¥7.92 / ¥31.7输入/输出
201
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
44.1
24.5K
128K
¥72 / ¥216输入/输出
202
Zglm-4-plus
glm-4-plusZai
43.9
7.2K
128K
¥54 / ¥54输入/输出
203
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
43.6
8.8K
1M
¥1.8 / ¥6.26输入/输出
204
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
43.3
2.7K
200K
¥14.4 / ¥57.6输入/输出
205
UNyi-lightning
-
43.0
7.6K
12K
¥1.44 / ¥1.44输入/输出
206
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
42.7
16K
128K
¥0 / ¥0输入/输出
207
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
42.5
2.8K
-
-
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
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
41.9
1.3K
128K
¥2.16 / ¥3.24输入/输出
210
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
41.6
890
-
-
211
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
41.3
11.2K
128K
¥0 / ¥0输入/输出
212
Aqwen-max-0919
qwen-max-0919Alibaba
41.1
4.6K
131K
¥2.48 / ¥9.91输入/输出
213
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
40.8
7.1K
262K
¥2.88 / ¥14.4输入/输出
214
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
40.5
49.9K
200K
¥108 / ¥540输入/输出
215
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
40.2
24.7K
8.19K
¥216 / ¥432输入/输出
216
IB
granite-4.1-8b
granite-4.1-8bIbm
39.9
821
131K
¥0.36 / ¥0.72输入/输出
217
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
39.7
14.5K
1M
¥9 / ¥18输入/输出
218
TEhunyuan-large-vision
hunyuan-large-visionTencent
39.4
1.1K
-
-
219
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
39.1
1.6K
1.05M
¥14.4 / ¥57.6输入/输出
220
MAmistral-large-2411
mistral-large-2411Mistral
38.8
7.4K
128K
¥14.4 / ¥43.2输入/输出
221
MAmagistral-medium-2506
magistral-medium-2506Mistral
38.5
2.4K
128K
¥14.4 / ¥36输入/输出
222
MAmistral-large-2407
mistral-large-2407Mistral
38.3
12.2K
131K
¥14.4 / ¥43.2输入/输出
223
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
38.0
23.5K
8.19K
¥216 / ¥432输入/输出
224
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
37.7
937
-
-
225
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
37.4
17K
200K
¥5.76 / ¥28.8输入/输出
226
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
37.2
13.8K
128K
¥0 / ¥0输入/输出
227
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
36.9
758
-
-
228
UNathene-v2-chat
-
36.6
6.7K
-
-
229
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
36.3
1.8K
128K
¥0 / ¥0输入/输出
230
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
36.0
16.5K
2M
¥0.54 / ¥2.2输入/输出
231
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
35.8
1.9K
200K
¥14.4 / ¥57.6输入/输出
232
Ggemma-2-27b-it
gemma-2-27b-itGoogle
35.5
20.4K
8.19K
¥0.58 / ¥0.58输入/输出
233
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
35.2
10.8K
131K
¥4.13 / ¥12.4输入/输出
234
Ddeepseek-v2.5
deepseek-v2.5Deepseek
34.9
6.6K
1M
¥1.01 / ¥2.02输入/输出
235
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
34.6
6.6K
300K
¥5.76 / ¥23输入/输出
236
UNreka-core-20240904
-
34.4
1.9K
-
-
237
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
34.1
2.7K
128K
¥18 / ¥72输入/输出
238
UNathene-70b-0725
-
33.8
5.4K
-
-
239
Ogpt-oss-20b
gpt-oss-20bOpenai
33.5
2.2K
131K
¥0.32 / ¥1.3输入/输出
240
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
33.2
15K
131K
¥2.88 / ¥2.88输入/输出
241
IBibm-granite-h-small
ibm-granite-h-smallIbm
33.0
1.2K
-
-
242
IAmercury
mercuryInception Ai
32.7
456
128K
¥1.8 / ¥5.4输入/输出
243
UNjamba-1.5-large
-
32.4
2.4K
256K
¥0 / ¥0输入/输出
244
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
32.1
9.5K
2M
¥0.54 / ¥2.2输入/输出
245
UNgemma-2-9b-it-simpo
-
31.8
2.8K
8.19K
¥1.44 / ¥1.44输入/输出
246
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
31.6
5.4K
-
-
247
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
31.3
7.3K
-
-
248
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
31.0
1K
128K
¥0 / ¥0输入/输出
249
Ggemma-2-9b-it
gemma-2-9b-itGoogle
30.7
14.6K
8.19K
¥1.44 / ¥1.44输入/输出
250
Ogpt-4-0314
gpt-4-0314Openai
30.4
12.9K
8.19K
¥216 / ¥432输入/输出
251
COcommand-r-plus
command-r-plusCohere
30.2
19.6K
128K
¥18 / ¥72输入/输出
252
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
29.9
27.3K
200K
¥21.6 / ¥108输入/输出
253
UNreka-flash-20240904
-
29.6
2K
65.5K
¥0.72 / ¥1.44输入/输出
254
Ogpt-4-0613
gpt-4-0613Openai
29.3
22.1K
8.19K
¥216 / ¥432输入/输出
255
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
29.1
3.9K
262K
¥2.88 / ¥14.4输入/输出
256
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
28.8
5.3K
300K
¥0.43 / ¥1.73输入/输出
257
Zglm-4-0520
glm-4-0520Zai
28.5
2.6K
128K
¥108 / ¥108输入/输出
258
Mllama-3-70b-instruct
llama-3-70b-instructMeta
28.2
37.7K
8.19K
¥3.67 / ¥5.33输入/输出
259
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
27.9
872
-
-
260
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
27.7
10K
131K
¥4.13 / ¥12.4输入/输出
261
M
phi-4
phi-4Microsoft
27.4
6.5K
128K
¥0.9 / ¥3.6输入/输出
262
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
27.1
29.9K
200K
¥1.8 / ¥9输入/输出
263
COcommand-r-08-2024
command-r-08-2024Cohere
26.8
2.6K
128K
¥18 / ¥72输入/输出
264
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
26.5
5.2K
128K
¥0.25 / ¥1.01输入/输出
265
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
26.3
1.5K
131K
¥2.07 / ¥6.2输入/输出
266
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
26.0
2.7K
-
-
267
MAministral-8b-2410
ministral-8b-2410Mistral
25.7
1.4K
128K
¥0.72 / ¥0.72输入/输出
268
MAmistral-large-2402
mistral-large-2402Mistral
25.4
15.2K
262K
¥2.88 / ¥14.4输入/输出
269
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
25.1
816
-
-
270
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
24.9
752
-
-
271
MAmistral-medium
mistral-mediumMistral
24.6
8.4K
262K
¥2.88 / ¥14.4输入/输出
272
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
24.3
6.5K
-
-
273
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
24.0
3.9K
1M
¥1.01 / ¥2.02输入/输出
274
UNjamba-1.5-mini
-
23.7
2.4K
256K
¥0 / ¥0输入/输出
275
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
23.5
13.5K
131K
¥0.79 / ¥0.79输入/输出
276
COcommand-r
command-rCohere
23.2
13.5K
128K
¥18 / ¥72输入/输出
277
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
22.9
12.8K
64K
¥14.4 / ¥43.2输入/输出
278
UNreka-flash-21b-20240226-online
-
22.6
3.6K
-
-
279
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
22.3
9.5K
-
-
280
Ggemma-2-2b-it
gemma-2-2b-itGoogle
22.1
12.5K
128K
¥0 / ¥0输入/输出
281
UNreka-flash-21b-20240226
-
21.8
5.8K
-
-
282
Mllama-3-8b-instruct
llama-3-8b-instructMeta
21.5
25.5K
8.19K
¥0.29 / ¥0.29输入/输出
283
Mwizardlm-70b
wizardlm-70bMicrosoft
21.2
2.3K
-
-
284
UNyi-1.5-34b-chat
-
20.9
6.5K
-
-
285
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
20.7
4.6K
1.05M
¥14.4 / ¥86.4输入/输出
286
Aqwq-32b-preview
qwq-32b-previewAlibaba
20.4
855
131K
¥2.07 / ¥6.2输入/输出
287
UNzephyr-orpo-141b-A35b-v0.1
-
20.1
1.1K
200K
¥108 / ¥432输入/输出
288
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
19.8
16.1K
16.4K
¥3.6 / ¥10.8输入/输出
289
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
19.6
837
-
-
290
UNinternlm2_5-20b-chat
-
19.3
2.8K
-
-
291
Ggemini-pro
gemini-proGoogle
19.0
1.3K
1.05M
¥14.4 / ¥86.4输入/输出
292
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
18.7
6.7K
4.1K
¥1.22 / ¥4.9输入/输出
293
UNtulu-2-dpo-70b
-
18.4
1.5K
-
-
294
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
18.2
17.9K
32K
¥5.04 / ¥5.04输入/输出
295
UNdbrx-instruct-preview
-
17.9
8K
-
-
296
UNvicuna-33b
-
17.6
5.6K
-
-
297
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
17.3
5.4K
-
-
298
UNopenchat-3.5
-
17.0
2K
-
-
299
UNyi-34b-chat
-
16.8
3.7K
-
-
300
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
16.5
4.5K
-
-
301
UNstarling-lm-7b-beta
-
16.2
4K
200K
¥5.4 / ¥18.7输入/输出
302
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
15.9
1.1K
1M
¥1.01 / ¥2.02输入/输出
303
UNopenchat-3.5-0106
-
15.6
3.1K
-
-
304
UNfalcon-180b-chat
-
15.4
342
-
-
305
UNnous-hermes-2-mixtral-8x7b-dpo
-
15.1
858
1M
¥36 / ¥180输入/输出
306
UNsnowflake-arctic-instruct
-
14.8
7.2K
-
-
307
UNstarling-lm-7b-alpha
-
14.5
2.5K
200K
¥5.4 / ¥18.7输入/输出
308
Mwizardlm-13b
wizardlm-13bMicrosoft
14.2
1.8K
-
-
309
UNopenhermes-2.5-mistral-7b
-
14.0
1.1K
1M
¥36 / ¥180输入/输出
310
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
13.7
2.1K
131K
¥0.22 / ¥0.35输入/输出
311
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
13.4
836
-
-
312
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
13.1
4.6K
8.19K
¥1.08 / ¥4.32输入/输出
313
Mllama-2-70b-chat
llama-2-70b-chatMeta
12.8
9.6K
-
-
314
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
12.6
850
-
-
315
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
12.3
3.9K
16.4K
¥7.2 / ¥14.4输入/输出
316
UNsolar-10.7b-instruct-v1.0
-
12.0
894
128K
¥0 / ¥0输入/输出
317
UNdolphin-2.2.1-mistral-7b
-
11.7
382
262K
¥2.88 / ¥14.4输入/输出
318
UNzephyr-7b-beta
-
11.5
2.7K
-
-
319
UNzephyr-7b-alpha
-
11.2
569
-
-
320
UNmpt-30b-chat
-
10.9
647
-
-
321
UNvicuna-13b
-
10.6
4.7K
-
-
322
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
10.3
1.8K
-
-
323
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
10.1
6K
-
-
324
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
9.8
4.7K
262K
¥2.88 / ¥14.4输入/输出
325
UNguanaco-33b
-
9.5
714
200K
¥14.4 / ¥57.6输入/输出
326
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
9.2
1.1K
-
-
327
Mllama-2-13b-chat
llama-2-13b-chatMeta
8.9
4.8K
-
-
328
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
8.7
3.4K
4.1K
¥0.94 / ¥3.74输入/输出
329
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
8.4
5.2K
4.1K
¥0.94 / ¥3.74输入/输出
330
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
8.1
1.8K
-
-
331
Aqwen-14b-chat
qwen-14b-chatAlibaba
7.8
1.2K
32.8K
¥1.04 / ¥3.1输入/输出
332
UNvicuna-7b
-
7.5
1.8K
-
-
333
Mcodellama-34b-instruct
codellama-34b-instructMeta
7.3
2K
-
-
334
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
7.0
4.6K
128K
¥0.94 / ¥3.74输入/输出
335
Mllama-2-7b-chat
llama-2-7b-chatMeta
6.7
3.5K
128K
¥4.03 / ¥48输入/输出
336
UNstripedhyena-nous-7b
-
6.4
1.3K
-
-
337
Ggemma-7b-it
gemma-7b-itGoogle
6.1
2.2K
-
-
338
MAmistral-7b-instruct
mistral-7b-instructMistral
5.9
2.3K
262K
¥2.88 / ¥14.4输入/输出
339
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
5.6
2K
16.4K
¥0.07 / ¥0.08输入/输出
340
UNsmollm2-1.7b-instruct
-
5.3
627
-
-
341
Mcodellama-70b-instruct
codellama-70b-instructMeta
5.0
262
-
-
342
Gpalm-2
palm-2Google
4.7
2.2K
-
-
343
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.5
2.6K
-
-
344
AIolmo-7b-instruct
olmo-7b-instructAllenai
4.2
1.5K
-
-
345
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.9
1.9K
-
-
346
UNkoala-13b
-
3.6
1.5K
-
-
347
Ggemma-2b-it
gemma-2b-itGoogle
3.4
1.2K
-
-
348
UNgpt4all-13b-snoozy
-
3.1
347
1M
¥36 / ¥216输入/输出
349
UNmpt-7b-chat
-
2.8
892
-
-
350
UNchatglm3-6b
-
2.5
1.1K
200K
¥5.4 / ¥18.7输入/输出
351
UNalpaca-13b
-
2.2
1.2K
-
-
352
UNchatglm2-6b
-
2.0
775
200K
¥5.4 / ¥18.7输入/输出
353
UNRWKV-4-Raven-14B
-
1.7
1.1K
-
-
354
UNoasst-pythia-12b
-
1.4
1.4K
-
-
355
UNchatglm-6b
-
1.1
1.1K
200K
¥5.4 / ¥18.7输入/输出
356
UNfastchat-t5-3b
-
0.8
940
-
-
357
UNdolly-v2-12b
-
0.6
732
-
-
358
UNstablelm-tuned-alpha-7b
-
0.3
681
-
-
359
Mllama-13b
llama-13bMeta
0.0
513
-
-
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 8.1K。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
写作、文学与语言常见问题
写作、文学与语言排行榜看什么指标？
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。
写作、文学与语言模型应该怎么选？
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。