1
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claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
5.5K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 创意写作排行榜
基于公开偏好评测数据展示 文本 / 创意写作 榜单，每个榜单独立排序。
创意写作模型怎么选？
创意写作排行榜用于回答“创意写作哪个 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 5.5K。 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-thinkinggemini-3.1-pro-previewgemini-3-proclaude-opus-4-6claude-opus-4-7-thinking
2
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
99.7
7K
1.05M
¥14.4 / ¥86.4输入/输出
3
Ggemini-3-pro
gemini-3-proGoogle
99.4
6.3K
1.05M
¥14.4 / ¥86.4输入/输出
4
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.2
5.7K
1M
¥36 / ¥180输入/输出
5
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.9
3.2K
1M
¥36 / ¥180输入/输出
6
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.6
3.4K
1M
¥36 / ¥180输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.3
1.4K
1.05M
¥10.8 / ¥64.8输入/输出
8
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
98.0
3K
-
-
9
Z
glm-5.1
glm-5.1Zai
97.8
2.2K
200K
¥0 / ¥0输入/输出
10
Ggemini-3-flash
gemini-3-flashGoogle
97.5
4.7K
1.05M
¥3.6 / ¥21.6输入/输出
11
M
muse-spark
muse-sparkMeta
97.2
1.8K
-
-
12
Ggemini-2.5-pro
gemini-2.5-proGoogle
96.9
17.2K
1.05M
¥9 / ¥72输入/输出
13
B
ernie-5.1
ernie-5.1Baidu
96.6
2.2K
119K
¥5.4 / ¥21.6输入/输出
14
O
gpt-5.5-high
gpt-5.5-highOpenai
96.4
2.8K
1.05M
¥36 / ¥216输入/输出
15
Ogpt-5.5
gpt-5.5Openai
96.1
2.9K
1.05M
¥36 / ¥216输入/输出
16
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
95.8
496
1M
¥18 / ¥54输入/输出
17
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
95.5
5.5K
200K
¥108 / ¥540输入/输出
18
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
95.2
10.2K
200K
¥36 / ¥180输入/输出
19
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
95.0
2.4K
1.05M
¥7.2 / ¥21.6输入/输出
20
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
94.7
11.3K
200K
¥21.6 / ¥108输入/输出
21
Ogpt-5.4-high
gpt-5.4-highOpenai
94.4
4.5K
1.05M
¥18 / ¥108输入/输出
22
Zglm-5
glm-5Zai
94.1
3.5K
205K
¥7.2 / ¥23输入/输出
23
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
93.8
8.2K
1.05M
¥3.6 / ¥21.6输入/输出
24
D
deepseek-v4-pro
deepseek-v4-proDeepseek
93.6
2.6K
1M
¥3.13 / ¥6.26输入/输出
25
X
grok-4.20-beta1
grok-4.20-beta1Xai
93.3
3.7K
2M
¥14.4 / ¥43.2输入/输出
26
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
93.0
4.3K
1M
¥21.6 / ¥108输入/输出
27
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
92.7
2.4K
1M
¥3.13 / ¥6.26输入/输出
28
Ogpt-5.4
gpt-5.4Openai
92.4
4.6K
1.05M
¥18 / ¥108输入/输出
29
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
92.2
4.7K
2M
¥14.4 / ¥43.2输入/输出
30
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
91.9
4.6K
2M
¥14.4 / ¥43.2输入/输出
31
M
kimi-k2.6
kimi-k2.6Moonshot
91.6
2.3K
262K
¥6.84 / ¥28.8输入/输出
32
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
91.3
666
246K
¥9.5 / ¥56.9输入/输出
33
Bernie-5.0-0110
ernie-5.0-0110Baidu
91.0
5.4K
128K
¥7.92 / ¥14.4输入/输出
34
Ogpt-5.1-high
gpt-5.1-highOpenai
90.8
6.1K
400K
¥9 / ¥72输入/输出
35
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
90.5
1.6K
128K
¥7.92 / ¥14.4输入/输出
36
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
90.2
11.7K
200K
¥21.6 / ¥108输入/输出
37
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
89.9
5.6K
262K
¥4.32 / ¥21.6输入/输出
38
Ogpt-5.5-instant
gpt-5.5-instantOpenai
89.6
4.1K
400K
¥9 / ¥72输入/输出
39
Ggemma-4-31b
gemma-4-31bGoogle
89.4
934
262K
¥3.24 / ¥7.2输入/输出
40
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
89.1
717
128K
¥7.92 / ¥14.4输入/输出
41
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
88.8
4.7K
1M
¥9 / ¥18输入/输出
42
Zglm-4.6
glm-4.6Zai
88.5
5.1K
205K
¥4.32 / ¥15.8输入/输出
43
MImimo-v2-pro
mimo-v2-proXiaomi
88.2
3.4K
1.05M
¥7.2 / ¥21.6输入/输出
44
Xgrok-4.1
grok-4.1Xai
88.0
9.5K
200K
¥14.4 / ¥72输入/输出
45
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
87.7
6.8K
200K
¥108 / ¥540输入/输出
46
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
87.4
10.7K
200K
¥108 / ¥540输入/输出
47
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
87.1
2.4K
164K
¥3.6 / ¥15.5输入/输出
48
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
86.8
5.9K
-
-
49
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
86.6
5K
262K
¥3.1 / ¥18.6输入/输出
50
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
86.3
11.6K
128K
¥18 / ¥72输入/输出
51
Xgrok-4.1-thinking
grok-4.1-thinkingXai
86.0
9.6K
200K
¥14.4 / ¥72输入/输出
52
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
85.7
457
128K
¥1.8 / ¥5.04输入/输出
53
Ogpt-5.1
gpt-5.1Openai
85.4
6.5K
400K
¥9 / ¥72输入/输出
54
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
85.2
943
262K
¥0.94 / ¥2.88输入/输出
55
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
84.9
1.6K
128K
¥0 / ¥0输入/输出
56
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
84.6
1.6K
128K
¥1.44 / ¥5.04输入/输出
57
Zglm-4.7
glm-4.7Zai
84.3
1.9K
205K
¥0 / ¥0输入/输出
58
Ggemini-2.5-flash
gemini-2.5-flashGoogle
84.0
17K
1.05M
¥2.16 / ¥18输入/输出
59
Aqwen3-max-preview
qwen3-max-previewAlibaba
83.8
3.8K
262K
¥6.2 / ¥24.8输入/输出
60
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
83.5
5.4K
1.05M
¥1.8 / ¥10.8输入/输出
61
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
83.2
5K
400K
¥12.6 / ¥101输入/输出
62
Aqwen3.6-plus
qwen3.6-plusAlibaba
82.9
2.6K
1M
¥3.6 / ¥21.6输入/输出
63
Xgrok-4-0709
grok-4-0709Xai
82.6
5.5K
256K
¥21.6 / ¥108输入/输出
64
Ddeepseek-v3.2
deepseek-v3.2Deepseek
82.4
6.5K
128K
¥2.09 / ¥3.1输入/输出
65
Xgrok-4.3
grok-4.3Xai
82.1
2.5K
1M
¥9 / ¥18输入/输出
66
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
81.8
2.5K
1M
¥1.01 / ¥2.02输入/输出
67
MImimo-v2.5
mimo-v2.5Xiaomi
81.5
2.5K
1.05M
¥2.88 / ¥14.4输入/输出
68
Zglm-4.5
glm-4.5Zai
81.2
3.1K
131K
¥4.32 / ¥15.8输入/输出
69
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
81.0
2.6K
8.19K
¥216 / ¥432输入/输出
70
TE
hunyuan-t1-20250711
hunyuan-t1-20250711Tencent
80.7
622
131K
¥0 / ¥0输入/输出
71
MA
mistral-medium-2508
mistral-medium-2508Mistral
80.4
13.5K
262K
¥2.88 / ¥14.4输入/输出
72
MAmistral-large-3
mistral-large-3Mistral
80.1
6.5K
262K
¥3.6 / ¥10.8输入/输出
73
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
79.8
2.5K
1M
¥1.01 / ¥2.02输入/输出
74
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
79.6
8.5K
2M
¥1.44 / ¥3.6输入/输出
75
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
79.3
1.2K
128K
¥0 / ¥0输入/输出
76
Xgrok-4-fast-chat
grok-4-fast-chatXai
79.0
941
2M
¥1.44 / ¥3.6输入/输出
77
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
78.7
440
128K
¥1.8 / ¥5.04输入/输出
78
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
78.4
6.1K
128K
¥2.09 / ¥3.1输入/输出
79
Ddeepseek-v3.1
deepseek-v3.1Deepseek
78.2
2K
128K
¥1.44 / ¥5.04输入/输出
80
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
77.9
4.5K
1M
¥2.16 / ¥18输入/输出
81
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
77.6
261
-
-
82
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
77.3
1.1K
131K
¥2.07 / ¥8.26输入/输出
83
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
77.0
3.5K
128K
¥1.08 / ¥10.8输入/输出
84
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
76.8
4.5K
200K
¥108 / ¥540输入/输出
85
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
76.5
1.2K
258K
¥6.19 / ¥24.7输入/输出
86
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
76.2
1.3K
262K
¥4.32 / ¥21.6输入/输出
87
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
75.9
6.8K
262K
¥0.72 / ¥2.16输入/输出
88
Ogpt-5.2-high
gpt-5.2-highOpenai
75.6
7.1K
400K
¥12.6 / ¥101输入/输出
89
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
75.4
13.3K
128K
¥2.09 / ¥8.23输入/输出
90
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.1
9K
262K
¥17.3 / ¥72输入/输出
91
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
74.8
5.5K
200K
¥108 / ¥540输入/输出
92
Ogpt-5.2
gpt-5.2Openai
74.5
7.2K
400K
¥12.6 / ¥101输入/输出
93
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.2
2.5K
2M
¥1.44 / ¥3.6输入/输出
94
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
73.9
4.2K
400K
¥5.4 / ¥32.4输入/输出
95
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
73.7
1.4K
128K
¥2.16 / ¥8.64输入/输出
96
MImimo-v2-omni
mimo-v2-omniXiaomi
73.4
470
262K
¥2.88 / ¥14.4输入/输出
97
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
73.1
4.1K
262K
¥2.88 / ¥23输入/输出
98
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
72.8
11.5K
200K
¥7.2 / ¥36输入/输出
99
Ogpt-5-chat
gpt-5-chatOpenai
72.5
4K
400K
¥9 / ¥72输入/输出
100
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
72.3
4.2K
65.5K
¥0.72 / ¥2.88输入/输出
101
Ogpt-5-high
gpt-5-highOpenai
72.0
4.3K
400K
¥9 / ¥72输入/输出
102
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
71.7
457
-
-
103
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
71.4
6K
75K
¥1.44 / ¥5.76输入/输出
104
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.1
6.7K
1.05M
¥14.4 / ¥57.6输入/输出
105
M
minimax-m2.1-preview
minimax-m2.1-previewMinimax
70.9
2.7K
205K
¥0 / ¥0输入/输出
106
Aqwen3.5-27b
qwen3.5-27bAlibaba
70.6
3.9K
262K
¥2.16 / ¥17.3输入/输出
107
Oo3-2025-04-16
o3-2025-04-16Openai
70.3
7.7K
200K
¥14.4 / ¥57.6输入/输出
108
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
70.0
6.5K
1.05M
¥0.72 / ¥2.88输入/输出
109
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
69.7
1.5K
131K
¥0 / ¥0输入/输出
110
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
69.5
4.6K
131K
¥2.07 / ¥8.26输入/输出
111
ST
step-3.5-flash
step-3.5-flashStepfun
69.2
5.2K
256K
¥0.69 / ¥2.07输入/输出
112
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
68.9
4.8K
128K
¥12.6 / ¥101输入/输出
113
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
68.6
890
256K
¥0 / ¥0输入/输出
114
Ddeepseek-r1
deepseek-r1Deepseek
68.3
3.3K
164K
¥5.04 / ¥18输入/输出
115
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
68.1
581
-
-
116
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
67.8
3.8K
-
-
117
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
67.5
1.5K
262K
¥4.32 / ¥18输入/输出
118
Aqwen3.5-flash
qwen3.5-flashAlibaba
67.2
4.3K
1M
¥1.24 / ¥12.4输入/输出
119
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
66.9
1.7K
262K
¥0.72 / ¥2.16输入/输出
120
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
66.7
4.3K
262K
¥1.8 / ¥14.4输入/输出
121
Oo1-2024-12-17
o1-2024-12-17Openai
66.4
4.6K
128K
¥108 / ¥432输入/输出
122
Mlongcat-flash-chat
longcat-flash-chatMeituan
66.1
1.4K
128K
¥1.08 / ¥10.8输入/输出
123
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
65.8
4.3K
200K
¥21.6 / ¥108输入/输出
124
Ggemma-3-27b-it
gemma-3-27b-itGoogle
65.5
6.4K
128K
¥2.15 / ¥2.15输入/输出
125
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
65.3
1K
131K
¥2.06 / ¥8.26输入/输出
126
MAmistral-medium-2505
mistral-medium-2505Mistral
65.0
4.1K
262K
¥2.88 / ¥14.4输入/输出
127
Zglm-4.5-air
glm-4.5-airZai
64.7
4K
131K
¥0 / ¥0输入/输出
128
Mminimax-m2.7
minimax-m2.7Minimax
64.4
3.3K
205K
¥0 / ¥0输入/输出
129
Zglm-4.6v
glm-4.6vZai
64.1
420
128K
¥2.16 / ¥6.48输入/输出
130
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
63.9
6.3K
1.05M
¥1.08 / ¥4.32输入/输出
131
Xgrok-3-mini-beta
grok-3-mini-betaXai
63.6
2.8K
1M
¥9 / ¥18输入/输出
132
Aqwen2.5-max
qwen2.5-maxAlibaba
63.3
5K
32K
¥11.5 / ¥46输入/输出
133
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
63.0
5K
200K
¥21.6 / ¥108输入/输出
134
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
62.7
551
-
-
135
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
62.5
3.3K
262K
¥6.2 / ¥24.8输入/输出
136
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
62.2
3K
131K
¥1.04 / ¥4.13输入/输出
137
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
61.9
8.1K
-
-
138
Mminimax-m2.5
minimax-m2.5Minimax
61.6
5.7K
205K
¥0 / ¥0输入/输出
139
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
61.3
5.2K
-
-
140
Ggemma-3-12b-it
gemma-3-12b-itGoogle
61.1
600
128K
¥1.96 / ¥1.96输入/输出
141
Xgrok-3-mini-high
grok-3-mini-highXai
60.8
2.1K
128K
¥0 / ¥0输入/输出
142
Ddeepseek-v3
deepseek-v3Deepseek
60.5
3.6K
128K
¥0 / ¥0输入/输出
143
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
60.2
751
16.4K
¥37.5 / ¥118输入/输出
144
Ogpt-5-mini-high
gpt-5-mini-highOpenai
59.9
3.6K
400K
¥1.8 / ¥14.4输入/输出
145
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
59.7
3.4K
131K
¥4.32 / ¥18输入/输出
146
CO
command-a-03-2025
command-a-03-2025Cohere
59.4
7.6K
256K
¥18 / ¥72输入/输出
147
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
59.1
4.1K
1.05M
¥0.54 / ¥2.16输入/输出
148
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
58.8
3K
262K
¥2.16 / ¥3.6输入/输出
149
UNtrinity-large-preview
-
58.5
4.4K
262K
¥1.8 / ¥6.48输入/输出
150
UNintellect-3
-
58.3
800
131K
¥1.44 / ¥7.92输入/输出
151
Oo1-preview
o1-previewOpenai
58.0
4.5K
128K
¥108 / ¥432输入/输出
152
STstep-3
step-3Stepfun
57.7
786
65.5K
¥1.8 / ¥4.68输入/输出
153
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
57.4
1.5K
-
-
154
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
57.1
6K
200K
¥21.6 / ¥108输入/输出
155
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
56.9
1.1K
262K
¥1.44 / ¥5.76输入/输出
156
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
56.6
3.6K
131K
¥2.07 / ¥8.26输入/输出
157
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
56.3
4K
400K
¥1.44 / ¥9输入/输出
158
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
56.0
444
128K
¥4.32 / ¥13输入/输出
159
UNtrinity-large-thinking
-
55.7
3.8K
262K
¥1.8 / ¥6.48输入/输出
160
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
55.5
1.8K
131K
¥1.04 / ¥10.3输入/输出
161
Zglm-4-plus-0111
glm-4-plus-0111Zai
55.2
918
128K
¥72 / ¥72输入/输出
162
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
54.9
367
131K
¥2.88 / ¥2.88输入/输出
163
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
54.6
997
-
-
164
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
54.3
322
-
-
165
MAmistral-small-2506
mistral-small-2506Mistral
54.1
2.2K
262K
¥2.88 / ¥14.4输入/输出
166
Zglm-4.7-flash
glm-4.7-flashZai
53.8
1.8K
200K
¥0 / ¥0输入/输出
167
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
53.5
5.2K
1.05M
¥2.88 / ¥11.5输入/输出
168
Aqwen3-32b
qwen3-32bAlibaba
53.2
616
131K
¥2.07 / ¥8.26输入/输出
169
Mminimax-m1
minimax-m1Minimax
52.9
4.5K
1M
¥0.95 / ¥9.03输入/输出
170
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
52.7
5.8K
200K
¥7.92 / ¥31.7输入/输出
171
Zglm-4.5v
glm-4.5vZai
52.4
640
64K
¥4.32 / ¥13输入/输出
172
IA
mercury-2
mercury-2Inception Ai
52.1
530
128K
¥1.8 / ¥5.4输入/输出
173
Anova-2-lite
nova-2-liteAmazon
51.8
1.7K
128K
¥2.38 / ¥19.8输入/输出
174
Aqwen-plus-0125
qwen-plus-0125Alibaba
51.5
931
1M
¥0.83 / ¥2.07输入/输出
175
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
51.3
16.6K
128K
¥36 / ¥108输入/输出
176
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
51.0
11.8K
200K
¥21.6 / ¥108输入/输出
177
Mminimax-m2
minimax-m2Minimax
50.7
899
197K
¥0 / ¥0输入/输出
178
Aqwq-32b
qwq-32bAlibaba
50.4
3.7K
131K
¥2.07 / ¥6.2输入/输出
179
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
50.1
428
131K
¥0 / ¥0输入/输出
180
AG
ling-flash-2.0
ling-flash-2.0Ant Group
49.9
842
131K
¥1.01 / ¥4.1输入/输出
181
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
49.6
2.9K
128K
¥0 / ¥0输入/输出
182
Oo3-mini-high
o3-mini-highOpenai
49.3
3.1K
200K
¥7.92 / ¥31.7输入/输出
183
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
49.0
5K
2M
¥0.54 / ¥2.2输入/输出
184
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
48.7
1.1K
1M
¥1.01 / ¥2.02输入/输出
185
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
48.5
9.3K
1M
¥9 / ¥18输入/输出
186
Ggemini-advanced-0514
gemini-advanced-0514Google
48.2
7K
-
-
187
UNyi-lightning
-
47.9
3.8K
12K
¥1.44 / ¥1.44输入/输出
188
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
47.6
2.3K
131K
¥0 / ¥0输入/输出
189
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
47.3
6.8K
128K
¥18 / ¥72输入/输出
190
Ogpt-oss-120b
gpt-oss-120bOpenai
47.1
4K
131K
¥1.08 / ¥4.32输入/输出
191
AGring-flash-2.0
ring-flash-2.0Ant Group
46.8
888
131K
¥1.01 / ¥4.1输入/输出
192
Oo3-mini
o3-miniOpenai
46.5
8.2K
200K
¥7.92 / ¥31.7输入/输出
193
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
46.2
11.8K
-
-
194
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
45.9
3.4K
128K
¥0.79 / ¥7.78输入/输出
195
Ggemma-3-4b-it
gemma-3-4b-itGoogle
45.7
666
128K
¥1.44 / ¥1.44输入/输出
196
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
45.4
424
131K
¥0 / ¥0输入/输出
197
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
45.1
451
-
-
198
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
44.8
1K
128K
¥0 / ¥0输入/输出
199
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
44.5
14.4K
128K
¥72 / ¥216输入/输出
200
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
44.3
10.5K
128K
¥1.08 / ¥4.32输入/输出
201
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
44.0
5.2K
1M
¥1.8 / ¥6.26输入/输出
202
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
43.7
568
-
-
203
Zglm-4-plus
glm-4-plusZai
43.4
3.8K
128K
¥54 / ¥54输入/输出
204
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
43.1
1.7K
200K
¥14.4 / ¥57.6输入/输出
205
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
42.9
8.9K
128K
¥0 / ¥0输入/输出
206
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
42.6
1.6K
-
-
207
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
42.3
1K
1.05M
¥14.4 / ¥57.6输入/输出
208
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
42.0
6.5K
128K
¥0 / ¥0输入/输出
209
IB
granite-4.1-8b
granite-4.1-8bIbm
41.7
571
131K
¥0.36 / ¥0.72输入/输出
210
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
41.5
867
128K
¥2.16 / ¥3.24输入/输出
211
TEhunyuan-large-vision
hunyuan-large-visionTencent
41.2
629
-
-
212
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
40.9
4.2K
262K
¥2.88 / ¥14.4输入/输出
213
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
40.6
8.1K
128K
¥0 / ¥0输入/输出
214
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
40.3
3.8K
128K
¥1.44 / ¥5.62输入/输出
215
Ogpt-5-nano-high
gpt-5-nano-highOpenai
40.1
915
400K
¥0.36 / ¥2.88输入/输出
216
Aqwen-max-0919
qwen-max-0919Alibaba
39.8
2.4K
131K
¥2.48 / ¥9.91输入/输出
217
MAmagistral-medium-2506
magistral-medium-2506Mistral
39.5
1.4K
128K
¥14.4 / ¥36输入/输出
218
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
39.2
15.6K
8.19K
¥216 / ¥432输入/输出
219
Oo1-mini
o1-miniOpenai
38.9
7.9K
128K
¥7.92 / ¥31.7输入/输出
220
MAmistral-large-2407
mistral-large-2407Mistral
38.7
6.7K
131K
¥14.4 / ¥43.2输入/输出
221
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
38.4
590
-
-
222
MAmistral-large-2411
mistral-large-2411Mistral
38.1
4.4K
128K
¥14.4 / ¥43.2输入/输出
223
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
37.8
7.9K
1M
¥9 / ¥18输入/输出
224
Ggemma-2-27b-it
gemma-2-27b-itGoogle
37.5
11.4K
8.19K
¥0.58 / ¥0.58输入/输出
225
UNgemma-2-9b-it-simpo
-
37.3
1.7K
8.19K
¥1.44 / ¥1.44输入/输出
226
UNathene-70b-0725
-
37.0
3.1K
-
-
227
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
36.7
12.4K
200K
¥21.6 / ¥108输入/输出
228
Ddeepseek-v2.5
deepseek-v2.5Deepseek
36.4
3.5K
1M
¥1.01 / ¥2.02输入/输出
229
UNreka-core-20240904
-
36.1
1K
-
-
230
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
35.9
28.4K
200K
¥108 / ¥540输入/输出
231
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
35.6
1.5K
128K
¥18 / ¥72输入/输出
232
UNathene-v2-chat
-
35.3
3.7K
-
-
233
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
35.0
13.9K
8.19K
¥216 / ¥432输入/输出
234
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
34.7
9.9K
200K
¥5.76 / ¥28.8输入/输出
235
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
34.5
8.3K
131K
¥2.88 / ¥2.88输入/输出
236
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
34.2
441
-
-
237
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
33.9
1.4K
200K
¥14.4 / ¥57.6输入/输出
238
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
33.6
9K
2M
¥0.54 / ¥2.2输入/输出
239
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
33.3
5.7K
131K
¥4.13 / ¥12.4输入/输出
240
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
33.1
5K
2M
¥0.54 / ¥2.2输入/输出
241
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
32.8
482
128K
¥0 / ¥0输入/输出
242
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
32.5
3.9K
300K
¥5.76 / ¥23输入/输出
243
UNjamba-1.5-large
-
32.2
1.4K
256K
¥0 / ¥0输入/输出
244
IBibm-granite-h-small
ibm-granite-h-smallIbm
31.9
715
-
-
245
Mllama-3-70b-instruct
llama-3-70b-instructMeta
31.7
22.8K
8.19K
¥3.67 / ¥5.33输入/输出
246
Ggemma-2-9b-it
gemma-2-9b-itGoogle
31.4
8.3K
8.19K
¥1.44 / ¥1.44输入/输出
247
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
31.1
3.2K
-
-
248
UNreka-flash-20240904
-
30.8
1K
65.5K
¥0.72 / ¥1.44输入/输出
249
COcommand-r-plus
command-r-plusCohere
30.5
11K
128K
¥18 / ¥72输入/输出
250
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
30.3
3.9K
-
-
251
Ogpt-oss-20b
gpt-oss-20bOpenai
30.0
1.2K
131K
¥0.32 / ¥1.3输入/输出
252
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
29.7
567
-
-
253
Zglm-4-0520
glm-4-0520Zai
29.4
1.5K
128K
¥108 / ¥108输入/输出
254
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
29.1
3K
300K
¥0.43 / ¥1.73输入/输出
255
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
28.9
2.4K
262K
¥2.88 / ¥14.4输入/输出
256
Ogpt-4-0613
gpt-4-0613Openai
28.6
13.9K
8.19K
¥216 / ¥432输入/输出
257
Ogpt-4-0314
gpt-4-0314Openai
28.3
8.2K
8.19K
¥216 / ¥432输入/输出
258
IAmercury
mercuryInception Ai
28.0
298
128K
¥1.8 / ¥5.4输入/输出
259
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
27.7
15.6K
200K
¥21.6 / ¥108输入/输出
260
M
phi-4
phi-4Microsoft
27.5
4.1K
128K
¥0.9 / ¥3.6输入/输出
261
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
27.2
472
-
-
262
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
26.9
5.5K
131K
¥4.13 / ¥12.4输入/输出
263
MAministral-8b-2410
ministral-8b-2410Mistral
26.6
678
128K
¥0.72 / ¥0.72输入/输出
264
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
26.3
836
131K
¥2.07 / ¥6.2输入/输出
265
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
26.1
3.1K
128K
¥0.25 / ¥1.01输入/输出
266
COcommand-r-08-2024
command-r-08-2024Cohere
25.8
1.4K
128K
¥18 / ¥72输入/输出
267
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
25.5
1.5K
-
-
268
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
25.2
357
-
-
269
UNjamba-1.5-mini
-
24.9
1.4K
256K
¥0 / ¥0输入/输出
270
MAmistral-large-2402
mistral-large-2402Mistral
24.6
9.1K
262K
¥2.88 / ¥14.4输入/输出
271
MAmistral-medium
mistral-mediumMistral
24.4
5.5K
262K
¥2.88 / ¥14.4输入/输出
272
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
24.1
16.7K
200K
¥1.8 / ¥9输入/输出
273
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
23.8
7.3K
131K
¥0.79 / ¥0.79输入/输出
274
COcommand-r
command-rCohere
23.5
7.8K
128K
¥18 / ¥72输入/输出
275
Mllama-3-8b-instruct
llama-3-8b-instructMeta
23.2
15.4K
8.19K
¥0.29 / ¥0.29输入/输出
276
Mwizardlm-70b
wizardlm-70bMicrosoft
23.0
1.8K
-
-
277
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
22.7
3.7K
-
-
278
Ggemma-2-2b-it
gemma-2-2b-itGoogle
22.4
7.1K
128K
¥0 / ¥0输入/输出
279
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
22.1
7.4K
64K
¥14.4 / ¥43.2输入/输出
280
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
21.8
5.9K
-
-
281
UNyi-1.5-34b-chat
-
21.6
3.6K
-
-
282
Aqwq-32b-preview
qwq-32b-previewAlibaba
21.3
454
131K
¥2.07 / ¥6.2输入/输出
283
UNreka-flash-21b-20240226-online
-
21.0
2.1K
-
-
284
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
20.7
3K
1.05M
¥14.4 / ¥86.4输入/输出
285
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
20.4
450
-
-
286
UNopenchat-3.5
-
20.2
1.5K
-
-
287
UNvicuna-33b
-
19.9
4K
-
-
288
UNreka-flash-21b-20240226
-
19.6
3.5K
-
-
289
UNinternlm2_5-20b-chat
-
19.3
1.4K
-
-
290
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
19.0
2.3K
1M
¥1.01 / ¥2.02输入/输出
291
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
18.8
442
-
-
292
UNzephyr-orpo-141b-A35b-v0.1
-
18.5
635
200K
¥108 / ¥432输入/输出
293
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
18.2
11.2K
32K
¥5.04 / ¥5.04输入/输出
294
UNyi-34b-chat
-
17.9
2.4K
-
-
295
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
17.6
3.7K
4.1K
¥1.22 / ¥4.9输入/输出
296
UNtulu-2-dpo-70b
-
17.4
1.1K
-
-
297
UNdbrx-instruct-preview
-
17.1
4.8K
-
-
298
Ggemini-pro
gemini-proGoogle
16.8
953
1.05M
¥14.4 / ¥86.4输入/输出
299
UNzephyr-7b-beta
-
16.5
2K
-
-
300
UNnous-hermes-2-mixtral-8x7b-dpo
-
16.2
616
1M
¥36 / ¥180输入/输出
301
UNstarling-lm-7b-alpha
-
16.0
1.7K
200K
¥5.4 / ¥18.7输入/输出
302
UNopenhermes-2.5-mistral-7b
-
15.7
811
1M
¥36 / ¥180输入/输出
303
UNstarling-lm-7b-beta
-
15.4
2.4K
200K
¥5.4 / ¥18.7输入/输出
304
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
15.1
1.1K
131K
¥0.22 / ¥0.35输入/输出
305
UNopenchat-3.5-0106
-
14.8
1.9K
-
-
306
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
14.6
9.7K
16.4K
¥3.6 / ¥10.8输入/输出
307
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
14.3
2.4K
-
-
308
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
14.0
604
-
-
309
Mwizardlm-13b
wizardlm-13bMicrosoft
13.7
1.4K
-
-
310
UNsolar-10.7b-instruct-v1.0
-
13.4
698
128K
¥0 / ¥0输入/输出
311
UNfalcon-180b-chat
-
13.2
270
-
-
312
UNdolphin-2.2.1-mistral-7b
-
12.9
291
262K
¥2.88 / ¥14.4输入/输出
313
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
12.6
3K
-
-
314
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
12.3
2.4K
8.19K
¥1.08 / ¥4.32输入/输出
315
UNsnowflake-arctic-instruct
-
12.0
4.8K
-
-
316
UNguanaco-33b
-
11.8
515
200K
¥14.4 / ¥57.6输入/输出
317
Mllama-2-70b-chat
llama-2-70b-chatMeta
11.5
6.4K
-
-
318
UNmpt-30b-chat
-
11.2
452
-
-
319
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
10.9
895
-
-
320
UNzephyr-7b-alpha
-
10.6
399
-
-
321
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
10.4
3K
262K
¥2.88 / ¥14.4输入/输出
322
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
10.1
789
1M
¥1.01 / ¥2.02输入/输出
323
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
9.8
3.4K
-
-
324
UNvicuna-13b
-
9.5
3.3K
-
-
325
Mllama-2-13b-chat
llama-2-13b-chatMeta
9.2
3.3K
-
-
326
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
9.0
916
-
-
327
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
8.7
2K
4.1K
¥0.94 / ¥3.74输入/输出
328
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
8.4
2.8K
4.1K
¥0.94 / ¥3.74输入/输出
329
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
8.1
2.8K
16.4K
¥7.2 / ¥14.4输入/输出
330
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
7.8
701
-
-
331
Mllama-2-7b-chat
llama-2-7b-chatMeta
7.6
2.3K
128K
¥4.03 / ¥48输入/输出
332
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
7.3
1.1K
16.4K
¥0.07 / ¥0.08输入/输出
333
Mcodellama-34b-instruct
codellama-34b-instructMeta
7.0
1.5K
-
-
334
UNsmollm2-1.7b-instruct
-
6.7
341
-
-
335
UNstripedhyena-nous-7b
-
6.4
869
-
-
336
MAmistral-7b-instruct
mistral-7b-instructMistral
6.2
1.7K
262K
¥2.88 / ¥14.4输入/输出
337
Aqwen-14b-chat
qwen-14b-chatAlibaba
5.9
898
32.8K
¥1.04 / ¥3.1输入/输出
338
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
5.6
2.9K
128K
¥0.94 / ¥3.74输入/输出
339
Ggemma-7b-it
gemma-7b-itGoogle
5.3
1.3K
-
-
340
UNvicuna-7b
-
5.0
1.3K
-
-
341
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.8
1.5K
-
-
342
Gpalm-2
palm-2Google
4.5
1.6K
-
-
343
AIolmo-7b-instruct
olmo-7b-instructAllenai
4.2
1K
-
-
344
Ggemma-2b-it
gemma-2b-itGoogle
3.9
696
-
-
345
UNkoala-13b
-
3.6
1.2K
-
-
346
UNgpt4all-13b-snoozy
-
3.4
250
1M
¥36 / ¥216输入/输出
347
UNchatglm3-6b
-
3.1
816
200K
¥5.4 / ¥18.7输入/输出
348
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
2.8
1.1K
-
-
349
UNalpaca-13b
-
2.5
954
-
-
350
UNmpt-7b-chat
-
2.2
683
-
-
351
UNchatglm2-6b
-
2.0
566
200K
¥5.4 / ¥18.7输入/输出
352
UNRWKV-4-Raven-14B
-
1.7
874
-
-
353
UNoasst-pythia-12b
-
1.4
1.1K
-
-
354
UNfastchat-t5-3b
-
1.1
744
-
-
355
UNchatglm-6b
-
0.8
771
200K
¥5.4 / ¥18.7输入/输出
356
UNstablelm-tuned-alpha-7b
-
0.6
536
-
-
357
UNdolly-v2-12b
-
0.3
565
-
-
358
Mllama-13b
llama-13bMeta
0.0
431
-
-
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 5.5K。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
创意写作常见问题
创意写作排行榜看什么指标？
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。
创意写作模型应该怎么选？
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。