1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
6.7K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 娱乐、体育与媒体排行榜
基于公开偏好评测数据展示 文本 / 娱乐、体育与媒体 榜单，每个榜单独立排序。
娱乐、体育与媒体模型怎么选？
娱乐、体育与媒体排行榜用于回答“娱乐、体育与媒体哪个 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 6.7K。 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-4-7gemini-3.1-pro-preview
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
7K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.4
4.1K
1M
¥36 / ¥180输入/输出
4
Aclaude-opus-4-7
claude-opus-4-7Anthropic
99.2
4.4K
1M
¥36 / ¥180输入/输出
5
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.9
8.5K
1.05M
¥14.4 / ¥86.4输入/输出
6
Ggemini-3-pro
gemini-3-proGoogle
98.6
7.7K
1.05M
¥14.4 / ¥86.4输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.3
1.8K
1.05M
¥10.8 / ¥64.8输入/输出
8
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
98.0
3.8K
-
-
9
Z
glm-5.1
glm-5.1Zai
97.8
2.6K
200K
¥0 / ¥0输入/输出
10
Ggemini-3-flash
gemini-3-flashGoogle
97.5
5.6K
1.05M
¥3.6 / ¥21.6输入/输出
11
O
gpt-5.5-high
gpt-5.5-highOpenai
97.2
3.5K
1.05M
¥36 / ¥216输入/输出
12
M
muse-spark
muse-sparkMeta
96.9
2.2K
-
-
13
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
96.6
691
1M
¥18 / ¥54输入/输出
14
Ogpt-5.4-high
gpt-5.4-highOpenai
96.4
5.4K
1.05M
¥18 / ¥108输入/输出
15
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
96.1
3.1K
1.05M
¥7.2 / ¥21.6输入/输出
16
Ogpt-5.5
gpt-5.5Openai
95.8
3.6K
1.05M
¥36 / ¥216输入/输出
17
Ggemini-2.5-pro
gemini-2.5-proGoogle
95.5
22.5K
1.05M
¥9 / ¥72输入/输出
18
B
ernie-5.1
ernie-5.1Baidu
95.2
2.8K
119K
¥5.4 / ¥21.6输入/输出
19
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
95.0
5.3K
1M
¥21.6 / ¥108输入/输出
20
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
94.7
12.5K
200K
¥36 / ¥180输入/输出
21
Ogpt-5.4
gpt-5.4Openai
94.4
5.8K
1.05M
¥18 / ¥108输入/输出
22
D
deepseek-v4-pro
deepseek-v4-proDeepseek
94.1
3.3K
1M
¥3.13 / ¥6.26输入/输出
23
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.8
5.8K
2M
¥14.4 / ¥43.2输入/输出
24
M
kimi-k2.6
kimi-k2.6Moonshot
93.6
2.9K
262K
¥6.84 / ¥28.8输入/输出
25
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
93.3
14.2K
200K
¥21.6 / ¥108输入/输出
26
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
93.0
10.3K
1.05M
¥3.6 / ¥21.6输入/输出
27
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
92.7
6.8K
200K
¥108 / ¥540输入/输出
28
Zglm-5
glm-5Zai
92.4
4.1K
205K
¥7.2 / ¥23输入/输出
29
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
92.2
5.6K
2M
¥14.4 / ¥43.2输入/输出
30
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
91.9
826
246K
¥9.5 / ¥56.9输入/输出
31
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
91.6
6.7K
262K
¥4.32 / ¥21.6输入/输出
32
Xgrok-4.20-beta1
grok-4.20-beta1Xai
91.3
4.6K
2M
¥14.4 / ¥43.2输入/输出
33
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
91.0
3.2K
1M
¥3.13 / ¥6.26输入/输出
34
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
90.8
14.7K
200K
¥21.6 / ¥108输入/输出
35
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
90.5
5.7K
1M
¥9 / ¥18输入/输出
36
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
90.2
7.2K
-
-
37
Bernie-5.0-0110
ernie-5.0-0110Baidu
89.9
6.3K
128K
¥7.92 / ¥14.4输入/输出
38
MImimo-v2-pro
mimo-v2-proXiaomi
89.6
4.3K
1.05M
¥7.2 / ¥21.6输入/输出
39
Ogpt-5.1-high
gpt-5.1-highOpenai
89.4
7.3K
400K
¥9 / ¥72输入/输出
40
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
89.1
14.8K
128K
¥18 / ¥72输入/输出
41
MImimo-v2.5
mimo-v2.5Xiaomi
88.8
3.2K
1.05M
¥2.88 / ¥14.4输入/输出
42
Ogpt-5.5-instant
gpt-5.5-instantOpenai
88.5
5.3K
400K
¥9 / ¥72输入/输出
43
Xgrok-4.1-thinking
grok-4.1-thinkingXai
88.2
12K
200K
¥14.4 / ¥72输入/输出
44
Zglm-4.6
glm-4.6Zai
88.0
6.6K
205K
¥4.32 / ¥15.8输入/输出
45
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
87.7
1.9K
128K
¥7.92 / ¥14.4输入/输出
46
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
87.4
1.1K
262K
¥0.94 / ¥2.88输入/输出
47
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
87.1
6.1K
262K
¥3.1 / ¥18.6输入/输出
48
Xgrok-4.1
grok-4.1Xai
86.8
12.1K
200K
¥14.4 / ¥72输入/输出
49
Zglm-4.5
glm-4.5Zai
86.6
4.3K
131K
¥4.32 / ¥15.8输入/输出
50
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
86.3
2.2K
128K
¥0 / ¥0输入/输出
51
Ggemma-4-31b
gemma-4-31bGoogle
86.0
1K
262K
¥3.24 / ¥7.2输入/输出
52
Aqwen3-max-preview
qwen3-max-previewAlibaba
85.7
5K
262K
¥6.2 / ¥24.8输入/输出
53
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
85.4
910
128K
¥7.92 / ¥14.4输入/输出
54
Zglm-4.7
glm-4.7Zai
85.2
2.4K
205K
¥0 / ¥0输入/输出
55
Aqwen3.6-plus
qwen3.6-plusAlibaba
84.9
3.5K
1M
¥3.6 / ¥21.6输入/输出
56
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
84.6
3.2K
164K
¥3.6 / ¥15.5输入/输出
57
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
84.3
541
-
-
58
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
84.0
2.6K
8.19K
¥216 / ¥432输入/输出
59
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
83.8
6.2K
400K
¥12.6 / ¥101输入/输出
60
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
83.5
14.1K
200K
¥108 / ¥540输入/输出
61
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
83.2
2.2K
128K
¥1.44 / ¥5.04输入/输出
62
Ogpt-5.1
gpt-5.1Openai
82.9
8K
400K
¥9 / ¥72输入/输出
63
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
82.6
9K
200K
¥108 / ¥540输入/输出
64
Ggemini-2.5-flash
gemini-2.5-flashGoogle
82.4
22.3K
1.05M
¥2.16 / ¥18输入/输出
65
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
82.1
3.2K
1M
¥1.01 / ¥2.02输入/输出
66
Ddeepseek-v3.2
deepseek-v3.2Deepseek
81.8
8.3K
128K
¥2.09 / ¥3.1输入/输出
67
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
81.5
4.5K
128K
¥1.08 / ¥10.8输入/输出
68
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
81.2
3.3K
1M
¥1.01 / ¥2.02输入/输出
69
Xgrok-4-0709
grok-4-0709Xai
81.0
7.4K
256K
¥21.6 / ¥108输入/输出
70
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.7
1.4K
262K
¥4.32 / ¥21.6输入/输出
71
MA
mistral-medium-2508
mistral-medium-2508Mistral
80.4
17.1K
262K
¥2.88 / ¥14.4输入/输出
72
MAmistral-large-3
mistral-large-3Mistral
80.1
7.9K
262K
¥3.6 / ¥10.8输入/输出
73
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
79.8
1.7K
128K
¥0 / ¥0输入/输出
74
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
79.6
617
128K
¥1.8 / ¥5.04输入/输出
75
TE
hunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
79.3
375
-
-
76
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
79.0
7.3K
128K
¥2.09 / ¥3.1输入/输出
77
Xgrok-4.3
grok-4.3Xai
78.7
3.4K
1M
¥9 / ¥18输入/输出
78
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
78.4
6K
1M
¥2.16 / ¥18输入/输出
79
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
78.2
6.8K
1.05M
¥1.8 / ¥10.8输入/输出
80
Xgrok-4-fast-chat
grok-4-fast-chatXai
77.9
1.3K
2M
¥1.44 / ¥3.6输入/输出
81
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
77.6
10.3K
2M
¥1.44 / ¥3.6输入/输出
82
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
77.3
636
128K
¥1.8 / ¥5.04输入/输出
83
Ddeepseek-v3.1
deepseek-v3.1Deepseek
77.0
2.8K
128K
¥1.44 / ¥5.04输入/输出
84
Ogpt-5.2
gpt-5.2Openai
76.8
8.8K
400K
¥12.6 / ¥101输入/输出
85
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
76.5
1.7K
258K
¥6.19 / ¥24.7输入/输出
86
Ogpt-5-high
gpt-5-highOpenai
76.2
5.8K
400K
¥9 / ¥72输入/输出
87
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.9
11.1K
262K
¥17.3 / ¥72输入/输出
88
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
75.6
5.2K
400K
¥5.4 / ¥32.4输入/输出
89
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
75.4
8.4K
262K
¥0.72 / ¥2.16输入/输出
90
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
75.1
17.3K
128K
¥2.09 / ¥8.23输入/输出
91
Ogpt-5.2-high
gpt-5.2-highOpenai
74.8
8.6K
400K
¥12.6 / ¥101输入/输出
92
Oo3-2025-04-16
o3-2025-04-16Openai
74.5
10.6K
200K
¥14.4 / ¥57.6输入/输出
93
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
74.2
1.9K
128K
¥2.16 / ¥8.64输入/输出
94
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
73.9
1.5K
131K
¥2.07 / ¥8.26输入/输出
95
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
73.7
1.4K
131K
¥2.06 / ¥8.26输入/输出
96
MImimo-v2-omni
mimo-v2-omniXiaomi
73.4
620
262K
¥2.88 / ¥14.4输入/输出
97
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
73.1
6.4K
200K
¥108 / ¥540输入/输出
98
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
72.8
5.1K
262K
¥2.88 / ¥23输入/输出
99
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
72.5
3.3K
2M
¥1.44 / ¥3.6输入/输出
100
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
72.3
4.5K
-
-
101
Ogpt-5-chat
gpt-5-chatOpenai
72.0
5.6K
400K
¥9 / ¥72输入/输出
102
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.7
1.1K
256K
¥0 / ¥0输入/输出
103
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.4
9.1K
1.05M
¥14.4 / ¥57.6输入/输出
104
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
71.1
14.6K
200K
¥7.2 / ¥36输入/输出
105
M
minimax-m2.1-preview
minimax-m2.1-previewMinimax
70.9
3.2K
205K
¥0 / ¥0输入/输出
106
Mlongcat-flash-chat
longcat-flash-chatMeituan
70.6
2K
128K
¥1.08 / ¥10.8输入/输出
107
Aqwen3.5-27b
qwen3.5-27bAlibaba
70.3
4.7K
262K
¥2.16 / ¥17.3输入/输出
108
Oo1-2024-12-17
o1-2024-12-17Openai
70.0
5.2K
128K
¥108 / ¥432输入/输出
109
ST
step-3.5-flash
step-3.5-flashStepfun
69.7
6.3K
256K
¥0.69 / ¥2.07输入/输出
110
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
69.5
8.1K
75K
¥1.44 / ¥5.76输入/输出
111
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
69.2
5.9K
128K
¥12.6 / ¥101输入/输出
112
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
68.9
2K
262K
¥0.72 / ¥2.16输入/输出
113
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
68.6
859
131K
¥0 / ¥0输入/输出
114
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
68.3
5.9K
65.5K
¥0.72 / ¥2.88输入/输出
115
Mminimax-m2.7
minimax-m2.7Minimax
68.1
4.3K
205K
¥0 / ¥0输入/输出
116
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
67.8
4.2K
131K
¥1.04 / ¥4.13输入/输出
117
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
67.5
6.7K
131K
¥2.07 / ¥8.26输入/输出
118
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
67.2
7.6K
200K
¥108 / ¥540输入/输出
119
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
66.9
606
-
-
120
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
66.7
5.3K
262K
¥1.8 / ¥14.4输入/输出
121
Ddeepseek-r1
deepseek-r1Deepseek
66.4
3.6K
164K
¥5.04 / ¥18输入/输出
122
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
66.1
728
-
-
123
Aqwen3.5-flash
qwen3.5-flashAlibaba
65.8
5.4K
1M
¥1.24 / ¥12.4输入/输出
124
Zglm-4.6v
glm-4.6vZai
65.5
513
128K
¥2.16 / ¥6.48输入/输出
125
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
65.3
8.6K
1.05M
¥0.72 / ¥2.88输入/输出
126
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
65.0
2.1K
262K
¥4.32 / ¥18输入/输出
127
Ogpt-5-mini-high
gpt-5-mini-highOpenai
64.7
4.9K
400K
¥1.8 / ¥14.4输入/输出
128
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
64.4
2K
-
-
129
Zglm-4.5-air
glm-4.5-airZai
64.1
5.7K
131K
¥0 / ¥0输入/输出
130
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
63.9
1.2K
262K
¥1.44 / ¥5.76输入/输出
131
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
63.6
4.1K
262K
¥2.16 / ¥3.6输入/输出
132
MAmistral-medium-2505
mistral-medium-2505Mistral
63.3
5.6K
262K
¥2.88 / ¥14.4输入/输出
133
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
63.0
7.8K
1.05M
¥1.08 / ¥4.32输入/输出
134
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
62.7
1.9K
131K
¥0 / ¥0输入/输出
135
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
62.5
6.1K
200K
¥21.6 / ¥108输入/输出
136
Xgrok-3-mini-high
grok-3-mini-highXai
62.2
3K
128K
¥0 / ¥0输入/输出
137
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
61.9
4.9K
131K
¥4.32 / ¥18输入/输出
138
Oo1-preview
o1-previewOpenai
61.6
4.8K
128K
¥108 / ¥432输入/输出
139
STstep-3
step-3Stepfun
61.3
1.1K
65.5K
¥1.8 / ¥4.68输入/输出
140
Mminimax-m2.5
minimax-m2.5Minimax
61.1
7K
205K
¥0 / ¥0输入/输出
141
Xgrok-3-mini-beta
grok-3-mini-betaXai
60.8
3.8K
1M
¥9 / ¥18输入/输出
142
Aqwen2.5-max
qwen2.5-maxAlibaba
60.5
6K
32K
¥11.5 / ¥46输入/输出
143
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
60.2
5K
400K
¥1.44 / ¥9输入/输出
144
Ddeepseek-v3
deepseek-v3Deepseek
59.9
4.2K
128K
¥0 / ¥0输入/输出
145
Ggemma-3-27b-it
gemma-3-27b-itGoogle
59.7
8.1K
128K
¥2.15 / ¥2.15输入/输出
146
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
59.4
6.9K
200K
¥21.6 / ¥108输入/输出
147
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
59.1
4.5K
262K
¥6.2 / ¥24.8输入/输出
148
IA
mercury-2
mercury-2Inception Ai
58.8
659
128K
¥1.8 / ¥5.4输入/输出
149
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
58.5
4.7K
131K
¥2.07 / ¥8.26输入/输出
150
UNtrinity-large-preview
-
58.3
5.2K
262K
¥1.8 / ¥6.48输入/输出
151
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
58.0
2.5K
131K
¥1.04 / ¥10.3输入/输出
152
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
57.7
6.6K
-
-
153
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
57.4
8K
200K
¥7.92 / ¥31.7输入/输出
154
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
57.1
484
-
-
155
Zglm-4.7-flash
glm-4.7-flashZai
56.9
2.1K
200K
¥0 / ¥0输入/输出
156
Anova-2-lite
nova-2-liteAmazon
56.6
2.2K
128K
¥2.38 / ¥19.8输入/输出
157
UNintellect-3
-
56.3
1.1K
131K
¥1.44 / ¥7.92输入/输出
158
CO
command-a-03-2025
command-a-03-2025Cohere
56.0
10.1K
256K
¥18 / ¥72输入/输出
159
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
55.7
9.3K
-
-
160
MAmistral-small-2506
mistral-small-2506Mistral
55.5
3.2K
262K
¥2.88 / ¥14.4输入/输出
161
Zglm-4.5v
glm-4.5vZai
55.2
882
64K
¥4.32 / ¥13输入/输出
162
UNtrinity-large-thinking
-
54.9
4.8K
262K
¥1.8 / ¥6.48输入/输出
163
Mminimax-m1
minimax-m1Minimax
54.6
6.3K
1M
¥0.95 / ¥9.03输入/输出
164
Mminimax-m2
minimax-m2Minimax
54.3
1.2K
197K
¥0 / ¥0输入/输出
165
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
54.1
6.8K
1.05M
¥2.88 / ¥11.5输入/输出
166
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
53.8
7.4K
200K
¥21.6 / ¥108输入/输出
167
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
53.5
2.9K
131K
¥0 / ¥0输入/输出
168
Ggemma-3-12b-it
gemma-3-12b-itGoogle
53.2
697
128K
¥1.96 / ¥1.96输入/输出
169
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
52.9
4.5K
1.05M
¥0.54 / ¥2.16输入/输出
170
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
52.7
1.5K
-
-
171
AG
ling-flash-2.0
ling-flash-2.0Ant Group
52.4
1.2K
131K
¥1.01 / ¥4.1输入/输出
172
Ogpt-oss-120b
gpt-oss-120bOpenai
52.1
5.5K
131K
¥1.08 / ¥4.32输入/输出
173
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
51.8
873
16.4K
¥37.5 / ¥118输入/输出
174
Zglm-4-plus-0111
glm-4-plus-0111Zai
51.5
1.1K
128K
¥72 / ¥72输入/输出
175
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
51.3
17.6K
128K
¥36 / ¥108输入/输出
176
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
51.0
410
131K
¥0 / ¥0输入/输出
177
AGring-flash-2.0
ring-flash-2.0Ant Group
50.7
1.3K
131K
¥1.01 / ¥4.1输入/输出
178
Oo3-mini-high
o3-mini-highOpenai
50.4
3.2K
200K
¥7.92 / ¥31.7输入/输出
179
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
50.1
10.3K
1M
¥9 / ¥18输入/输出
180
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
49.9
570
131K
¥2.88 / ¥2.88输入/输出
181
Aqwen3-32b
qwen3-32bAlibaba
49.6
704
131K
¥2.07 / ¥8.26输入/输出
182
Aqwq-32b
qwq-32bAlibaba
49.3
4.5K
131K
¥2.07 / ¥6.2输入/输出
183
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
49.0
14.3K
200K
¥21.6 / ¥108输入/输出
184
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
48.7
532
128K
¥4.32 / ¥13输入/输出
185
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
48.5
1.2K
1M
¥1.01 / ¥2.02输入/输出
186
Oo3-mini
o3-miniOpenai
48.2
10.3K
200K
¥7.92 / ¥31.7输入/输出
187
UNyi-lightning
-
47.9
4K
12K
¥1.44 / ¥1.44输入/输出
188
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
47.6
2.1K
200K
¥14.4 / ¥57.6输入/输出
189
Ggemini-advanced-0514
gemini-advanced-0514Google
47.3
7.5K
-
-
190
Aqwen-plus-0125
qwen-plus-0125Alibaba
47.1
1.1K
1M
¥0.83 / ¥2.07输入/输出
191
Ogpt-5-nano-high
gpt-5-nano-highOpenai
46.8
1.4K
400K
¥0.36 / ¥2.88输入/输出
192
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
46.5
7K
128K
¥18 / ¥72输入/输出
193
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
46.2
449
-
-
194
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
45.9
3.9K
128K
¥0 / ¥0输入/输出
195
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
45.7
646
-
-
196
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
45.4
4.6K
128K
¥0.79 / ¥7.78输入/输出
197
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
45.1
14.8K
128K
¥72 / ¥216输入/输出
198
Oo1-mini
o1-miniOpenai
44.8
8.6K
128K
¥7.92 / ¥31.7输入/输出
199
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
44.5
1.1K
128K
¥2.16 / ¥3.24输入/输出
200
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
44.3
11.3K
128K
¥1.08 / ¥4.32输入/输出
201
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
44.0
448
131K
¥0 / ¥0输入/输出
202
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
43.7
5.7K
2M
¥0.54 / ¥2.2输入/输出
203
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
43.4
12.1K
-
-
204
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
43.1
5.9K
262K
¥2.88 / ¥14.4输入/输出
205
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
42.9
7K
1M
¥1.8 / ¥6.26输入/输出
206
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
42.6
9.5K
128K
¥0 / ¥0输入/输出
207
Zglm-4-plus
glm-4-plusZai
42.3
3.9K
128K
¥54 / ¥54输入/输出
208
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
42.0
961
128K
¥0 / ¥0输入/输出
209
IB
granite-4.1-8b
granite-4.1-8bIbm
41.7
743
131K
¥0.36 / ¥0.72输入/输出
210
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
41.5
1.9K
-
-
211
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
41.2
5.3K
128K
¥1.44 / ¥5.62输入/输出
212
MAmagistral-medium-2506
magistral-medium-2506Mistral
40.9
2K
128K
¥14.4 / ¥36输入/输出
213
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
40.6
1.1K
1.05M
¥14.4 / ¥57.6输入/输出
214
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
40.3
15.2K
8.19K
¥216 / ¥432输入/输出
215
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
40.1
9.8K
128K
¥0 / ¥0输入/输出
216
MAmistral-large-2407
mistral-large-2407Mistral
39.8
7K
131K
¥14.4 / ¥43.2输入/输出
217
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
39.5
7.2K
128K
¥0 / ¥0输入/输出
218
Aqwen-max-0919
qwen-max-0919Alibaba
39.2
2.4K
131K
¥2.48 / ¥9.91输入/输出
219
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
38.9
551
-
-
220
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
38.7
13.2K
200K
¥21.6 / ¥108输入/输出
221
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
38.4
14K
8.19K
¥216 / ¥432输入/输出
222
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
38.1
1.7K
200K
¥14.4 / ¥57.6输入/输出
223
Ggemma-3-4b-it
gemma-3-4b-itGoogle
37.8
761
128K
¥1.44 / ¥1.44输入/输出
224
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
37.5
8.6K
1M
¥9 / ¥18输入/输出
225
UNathene-70b-0725
-
37.3
3.2K
-
-
226
MAmistral-large-2411
mistral-large-2411Mistral
37.0
5.1K
128K
¥14.4 / ¥43.2输入/输出
227
Ddeepseek-v2.5
deepseek-v2.5Deepseek
36.7
3.7K
1M
¥1.01 / ¥2.02输入/输出
228
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
36.4
8.7K
131K
¥2.88 / ¥2.88输入/输出
229
UNathene-v2-chat
-
36.1
4.4K
-
-
230
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
35.9
606
-
-
231
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
35.6
12.5K
200K
¥5.76 / ¥28.8输入/输出
232
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
35.3
1.5K
128K
¥18 / ¥72输入/输出
233
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
35.0
675
-
-
234
TEhunyuan-large-vision
hunyuan-large-visionTencent
34.7
885
-
-
235
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
34.5
29.4K
200K
¥108 / ¥540输入/输出
236
UNjamba-1.5-large
-
34.2
1.4K
256K
¥0 / ¥0输入/输出
237
Ogpt-oss-20b
gpt-oss-20bOpenai
33.9
1.7K
131K
¥0.32 / ¥1.3输入/输出
238
UNgemma-2-9b-it-simpo
-
33.6
1.7K
8.19K
¥1.44 / ¥1.44输入/输出
239
IBibm-granite-h-small
ibm-granite-h-smallIbm
33.3
978
-
-
240
Ggemma-2-27b-it
gemma-2-27b-itGoogle
33.1
12.3K
8.19K
¥0.58 / ¥0.58输入/输出
241
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
32.8
6.2K
131K
¥4.13 / ¥12.4输入/输出
242
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
32.5
4.5K
300K
¥5.76 / ¥23输入/输出
243
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
32.2
3.3K
-
-
244
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
31.9
9.8K
2M
¥0.54 / ¥2.2输入/输出
245
UNreka-core-20240904
-
31.7
1.1K
-
-
246
IAmercury
mercuryInception Ai
31.4
367
128K
¥1.8 / ¥5.4输入/输出
247
Mllama-3-70b-instruct
llama-3-70b-instructMeta
31.1
23.2K
8.19K
¥3.67 / ¥5.33输入/输出
248
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
30.8
551
128K
¥0 / ¥0输入/输出
249
COcommand-r-plus
command-r-plusCohere
30.5
11.3K
128K
¥18 / ¥72输入/输出
250
Zglm-4-0520
glm-4-0520Zai
30.3
1.6K
128K
¥108 / ¥108输入/输出
251
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
30.0
5.7K
2M
¥0.54 / ¥2.2输入/输出
252
Ggemma-2-9b-it
gemma-2-9b-itGoogle
29.7
9.1K
8.19K
¥1.44 / ¥1.44输入/输出
253
Ogpt-4-0314
gpt-4-0314Openai
29.4
8.1K
8.19K
¥216 / ¥432输入/输出
254
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
29.1
2.7K
262K
¥2.88 / ¥14.4输入/输出
255
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
28.9
4.3K
-
-
256
Ogpt-4-0613
gpt-4-0613Openai
28.6
13.9K
8.19K
¥216 / ¥432输入/输出
257
UNreka-flash-20240904
-
28.3
1.1K
65.5K
¥0.72 / ¥1.44输入/输出
258
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
28.0
3.4K
300K
¥0.43 / ¥1.73输入/输出
259
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
27.7
16K
200K
¥21.6 / ¥108输入/输出
260
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
27.5
5.8K
131K
¥4.13 / ¥12.4输入/输出
261
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
27.2
3.3K
128K
¥0.25 / ¥1.01输入/输出
262
COcommand-r-08-2024
command-r-08-2024Cohere
26.9
1.6K
128K
¥18 / ¥72输入/输出
263
M
phi-4
phi-4Microsoft
26.6
4.5K
128K
¥0.9 / ¥3.6输入/输出
264
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
26.3
563
-
-
265
UNjamba-1.5-mini
-
26.1
1.5K
256K
¥0 / ¥0输入/输出
266
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
25.8
379
-
-
267
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
25.5
17.1K
200K
¥1.8 / ¥9输入/输出
268
MAmistral-large-2402
mistral-large-2402Mistral
25.2
9.2K
262K
¥2.88 / ¥14.4输入/输出
269
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
24.9
929
131K
¥2.07 / ¥6.2输入/输出
270
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
24.6
1.8K
-
-
271
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
24.4
7.7K
131K
¥0.79 / ¥0.79输入/输出
272
COcommand-r
command-rCohere
24.1
8K
128K
¥18 / ¥72输入/输出
273
MAministral-8b-2410
ministral-8b-2410Mistral
23.8
773
128K
¥0.72 / ¥0.72输入/输出
274
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
23.5
7.6K
64K
¥14.4 / ¥43.2输入/输出
275
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
23.2
3.9K
-
-
276
MAmistral-medium
mistral-mediumMistral
23.0
5.4K
262K
¥2.88 / ¥14.4输入/输出
277
UNreka-flash-21b-20240226-online
-
22.7
2.1K
-
-
278
Mllama-3-8b-instruct
llama-3-8b-instructMeta
22.4
15.4K
8.19K
¥0.29 / ¥0.29输入/输出
279
UNzephyr-orpo-141b-A35b-v0.1
-
22.1
617
200K
¥108 / ¥432输入/输出
280
Ggemma-2-2b-it
gemma-2-2b-itGoogle
21.8
7.5K
128K
¥0 / ¥0输入/输出
281
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
21.6
5.8K
-
-
282
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
21.3
2.5K
1M
¥1.01 / ¥2.02输入/输出
283
UNyi-1.5-34b-chat
-
21.0
3.9K
-
-
284
UNtulu-2-dpo-70b
-
20.7
989
-
-
285
Aqwq-32b-preview
qwq-32b-previewAlibaba
20.4
540
131K
¥2.07 / ¥6.2输入/输出
286
Mwizardlm-70b
wizardlm-70bMicrosoft
20.2
1.5K
-
-
287
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
19.9
537
-
-
288
UNyi-34b-chat
-
19.6
2.3K
-
-
289
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
19.3
11K
32K
¥5.04 / ¥5.04输入/输出
290
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
19.0
567
-
-
291
UNinternlm2_5-20b-chat
-
18.8
1.4K
-
-
292
UNvicuna-33b
-
18.5
3.6K
-
-
293
UNreka-flash-21b-20240226
-
18.2
3.5K
-
-
294
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
17.9
2.9K
1.05M
¥14.4 / ¥86.4输入/输出
295
UNdbrx-instruct-preview
-
17.6
4.6K
-
-
296
UNopenchat-3.5
-
17.4
1.3K
-
-
297
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
17.1
9.7K
16.4K
¥3.6 / ¥10.8输入/输出
298
Ggemini-pro
gemini-proGoogle
16.8
1K
1.05M
¥14.4 / ¥86.4输入/输出
299
UNstarling-lm-7b-beta
-
16.5
2.2K
200K
¥5.4 / ¥18.7输入/输出
300
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
16.2
1.1K
131K
¥0.22 / ¥0.35输入/输出
301
UNstarling-lm-7b-alpha
-
16.0
1.6K
200K
¥5.4 / ¥18.7输入/输出
302
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
15.7
3.9K
4.1K
¥1.22 / ¥4.9输入/输出
303
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
15.4
3.1K
-
-
304
Mwizardlm-13b
wizardlm-13bMicrosoft
15.1
1.2K
-
-
305
UNopenchat-3.5-0106
-
14.8
1.9K
-
-
306
UNopenhermes-2.5-mistral-7b
-
14.6
799
1M
¥36 / ¥180输入/输出
307
UNguanaco-33b
-
14.3
443
200K
¥14.4 / ¥57.6输入/输出
308
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
14.0
591
-
-
309
UNsnowflake-arctic-instruct
-
13.7
4.7K
-
-
310
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
13.4
2.5K
-
-
311
UNnous-hermes-2-mixtral-8x7b-dpo
-
13.2
593
1M
¥36 / ¥180输入/输出
312
Mllama-2-70b-chat
llama-2-70b-chatMeta
12.9
6.1K
-
-
313
UNzephyr-7b-beta
-
12.6
1.9K
-
-
314
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
12.3
802
1M
¥1.01 / ¥2.02输入/输出
315
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
12.0
934
-
-
316
UNsolar-10.7b-instruct-v1.0
-
11.8
654
128K
¥0 / ¥0输入/输出
317
UNfalcon-180b-chat
-
11.5
229
-
-
318
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
11.2
2.9K
262K
¥2.88 / ¥14.4输入/输出
319
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
10.9
2.6K
8.19K
¥1.08 / ¥4.32输入/输出
320
UNmpt-30b-chat
-
10.6
435
-
-
321
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
10.4
3.4K
-
-
322
UNdolphin-2.2.1-mistral-7b
-
10.1
282
262K
¥2.88 / ¥14.4输入/输出
323
UNzephyr-7b-alpha
-
9.8
329
-
-
324
Mllama-2-13b-chat
llama-2-13b-chatMeta
9.5
3.1K
-
-
325
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
9.2
941
-
-
326
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
9.0
2.6K
16.4K
¥7.2 / ¥14.4输入/输出
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
UNvicuna-13b
-
8.4
3.2K
-
-
329
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
8.1
708
-
-
330
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
7.8
1.2K
16.4K
¥0.07 / ¥0.08输入/输出
331
Mllama-2-7b-chat
llama-2-7b-chatMeta
7.6
2.2K
128K
¥4.03 / ¥48输入/输出
332
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
7.3
3K
4.1K
¥0.94 / ¥3.74输入/输出
333
UNvicuna-7b
-
7.0
1.3K
-
-
334
Mcodellama-34b-instruct
codellama-34b-instructMeta
6.7
1.4K
-
-
335
UNstripedhyena-nous-7b
-
6.4
806
-
-
336
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
6.2
2.9K
128K
¥0.94 / ¥3.74输入/输出
337
UNsmollm2-1.7b-instruct
-
5.9
360
-
-
338
Ggemma-7b-it
gemma-7b-itGoogle
5.6
1.3K
-
-
339
MAmistral-7b-instruct
mistral-7b-instructMistral
5.3
1.5K
262K
¥2.88 / ¥14.4输入/输出
340
Aqwen-14b-chat
qwen-14b-chatAlibaba
5.0
847
32.8K
¥1.04 / ¥3.1输入/输出
341
Gpalm-2
palm-2Google
4.8
1.5K
-
-
342
AIolmo-7b-instruct
olmo-7b-instructAllenai
4.5
876
-
-
343
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.2
1.5K
-
-
344
Ggemma-2b-it
gemma-2b-itGoogle
3.9
677
-
-
345
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.6
1.1K
-
-
346
UNkoala-13b
-
3.4
1.1K
-
-
347
UNgpt4all-13b-snoozy
-
3.1
253
1M
¥36 / ¥216输入/输出
348
UNalpaca-13b
-
2.8
935
-
-
349
UNchatglm3-6b
-
2.5
754
200K
¥5.4 / ¥18.7输入/输出
350
UNmpt-7b-chat
-
2.2
717
-
-
351
UNchatglm2-6b
-
2.0
483
200K
¥5.4 / ¥18.7输入/输出
352
UNRWKV-4-Raven-14B
-
1.7
834
-
-
353
UNoasst-pythia-12b
-
1.4
1.1K
-
-
354
UNfastchat-t5-3b
-
1.1
719
-
-
355
UNchatglm-6b
-
0.8
774
200K
¥5.4 / ¥18.7输入/输出
356
UNstablelm-tuned-alpha-7b
-
0.6
514
-
-
357
UNdolly-v2-12b
-
0.3
558
-
-
358
Mllama-13b
llama-13bMeta
0.0
402
-
-
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 6.7K。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
娱乐、体育与媒体常见问题
娱乐、体育与媒体排行榜看什么指标？
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。
娱乐、体育与媒体模型应该怎么选？
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。