1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
8.3K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 代码能力排行榜
基于公开偏好评测数据展示 文本 / 代码能力 榜单，每个榜单独立排序。
代码能力模型怎么选？
代码能力排行榜用于回答“代码能力哪个 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 8.3K。 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-4-7claude-opus-4-5-20251101-thinking-32k
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
9.6K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.4
5.6K
1M
¥36 / ¥180输入/输出
4
Aclaude-opus-4-7
claude-opus-4-7Anthropic
99.2
5.9K
1M
¥36 / ¥180输入/输出
5
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
98.9
7.6K
200K
¥108 / ¥540输入/输出
6
Z
glm-5.1
glm-5.1Zai
98.6
3.8K
200K
¥0 / ¥0输入/输出
7
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
98.3
4.3K
1.05M
¥7.2 / ¥21.6输入/输出
8
O
gpt-5.5-high
gpt-5.5-highOpenai
98.0
4.5K
1.05M
¥36 / ¥216输入/输出
9
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
97.7
7.2K
1M
¥21.6 / ¥108输入/输出
10
A
qwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.5
1.1K
1M
¥18 / ¥54输入/输出
11
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
97.2
15.7K
200K
¥36 / ¥180输入/输出
12
Ogpt-5.4-high
gpt-5.4-highOpenai
96.9
7.2K
1.05M
¥18 / ¥108输入/输出
13
G
gemini-3.5-flash
gemini-3.5-flashGoogle
96.6
2.6K
1.05M
¥10.8 / ¥64.8输入/输出
14
B
ernie-5.1
ernie-5.1Baidu
96.3
3.9K
119K
¥5.4 / ¥21.6输入/输出
15
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
96.0
17.8K
200K
¥21.6 / ¥108输入/输出
16
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
95.8
11.3K
1.05M
¥14.4 / ¥86.4输入/输出
17
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
95.5
5.5K
-
-
18
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
95.2
17.6K
200K
¥21.6 / ¥108输入/输出
19
M
kimi-k2.6
kimi-k2.6Moonshot
94.9
4.2K
262K
¥6.84 / ¥28.8输入/输出
20
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
94.6
841
-
-
21
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
94.4
1.8K
262K
¥4.32 / ¥21.6输入/输出
22
Ggemini-3-pro
gemini-3-proGoogle
94.1
8.6K
1.05M
¥14.4 / ¥86.4输入/输出
23
Ogpt-5.4
gpt-5.4Openai
93.8
7.9K
1.05M
¥18 / ¥108输入/输出
24
Ogpt-5.5
gpt-5.5Openai
93.5
4.7K
1.05M
¥36 / ¥216输入/输出
25
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
93.2
9.8K
200K
¥108 / ¥540输入/输出
26
M
muse-spark
muse-sparkMeta
92.9
3.3K
-
-
27
MImimo-v2-pro
mimo-v2-proXiaomi
92.7
6.2K
1.05M
¥7.2 / ¥21.6输入/输出
28
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
92.4
9.5K
262K
¥4.32 / ¥21.6输入/输出
29
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
92.1
6.5K
128K
¥1.08 / ¥10.8输入/输出
30
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
91.8
15.5K
200K
¥108 / ¥540输入/输出
31
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
91.5
10K
-
-
32
MImimo-v2.5
mimo-v2.5Xiaomi
91.2
4.6K
1.05M
¥2.88 / ¥14.4输入/输出
33
Mlongcat-flash-chat
longcat-flash-chatMeituan
91.0
2.2K
128K
¥1.08 / ¥10.8输入/输出
34
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
90.7
8.6K
262K
¥3.1 / ¥18.6输入/输出
35
D
deepseek-v4-pro
deepseek-v4-proDeepseek
90.4
4.9K
1M
¥3.13 / ¥6.26输入/输出
36
Aqwen3.6-plus
qwen3.6-plusAlibaba
90.1
5.4K
1M
¥3.6 / ¥21.6输入/输出
37
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
89.8
1.3K
246K
¥9.5 / ¥56.9输入/输出
38
Ggemini-3-flash
gemini-3-flashGoogle
89.5
6.4K
1.05M
¥3.6 / ¥21.6输入/输出
39
X
grok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
89.3
7.6K
2M
¥14.4 / ¥43.2输入/输出
40
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
89.0
7.7K
2M
¥14.4 / ¥43.2输入/输出
41
Bernie-5.0-0110
ernie-5.0-0110Baidu
88.7
8.2K
128K
¥7.92 / ¥14.4输入/输出
42
Aqwen3-max-preview
qwen3-max-previewAlibaba
88.4
5.4K
262K
¥6.2 / ¥24.8输入/输出
43
Zglm-5
glm-5Zai
88.1
5.4K
205K
¥7.2 / ¥23输入/输出
44
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
87.9
4.5K
1M
¥3.13 / ¥6.26输入/输出
45
Zglm-4.7
glm-4.7Zai
87.6
2.4K
205K
¥0 / ¥0输入/输出
46
Ggemma-4-31b
gemma-4-31bGoogle
87.3
1.4K
262K
¥3.24 / ¥7.2输入/输出
47
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
87.0
14.1K
262K
¥17.3 / ¥72输入/输出
48
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
86.7
8.2K
128K
¥2.09 / ¥3.1输入/输出
49
Ogpt-5.1-high
gpt-5.1-highOpenai
86.4
8.2K
400K
¥9 / ¥72输入/输出
50
Ggemini-2.5-pro
gemini-2.5-proGoogle
86.2
25.8K
1.05M
¥9 / ¥72输入/输出
51
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
85.9
18.3K
200K
¥7.2 / ¥36输入/输出
52
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
85.6
4.8K
1M
¥1.01 / ¥2.02输入/输出
53
Zglm-4.6
glm-4.6Zai
85.3
7.5K
205K
¥4.32 / ¥15.8输入/输出
54
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
85.0
8.3K
400K
¥12.6 / ¥101输入/输出
55
M
minimax-m2.7
minimax-m2.7Minimax
84.7
6.6K
205K
¥0 / ¥0输入/输出
56
Ddeepseek-v3.2
deepseek-v3.2Deepseek
84.5
10.2K
128K
¥2.09 / ¥3.1输入/输出
57
Xgrok-4.20-beta1
grok-4.20-beta1Xai
84.2
6.2K
2M
¥14.4 / ¥43.2输入/输出
58
Xgrok-4.1-thinking
grok-4.1-thinkingXai
83.9
14.3K
200K
¥14.4 / ¥72输入/输出
59
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
83.6
736
-
-
60
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
83.3
20.6K
128K
¥2.09 / ¥8.23输入/输出
61
MA
mistral-large-3
mistral-large-3Mistral
83.1
9.6K
262K
¥3.6 / ¥10.8输入/输出
62
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
82.8
1.4K
262K
¥0.94 / ¥2.88输入/输出
63
Ogpt-5.2-high
gpt-5.2-highOpenai
82.5
11K
400K
¥12.6 / ¥101输入/输出
64
Xgrok-4.1
grok-4.1Xai
82.2
14.8K
200K
¥14.4 / ¥72输入/输出
65
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
81.9
6.7K
200K
¥108 / ¥540输入/输出
66
MImimo-v2-omni
mimo-v2-omniXiaomi
81.6
848
262K
¥2.88 / ¥14.4输入/输出
67
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
81.4
4.8K
131K
¥1.04 / ¥4.13输入/输出
68
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
81.1
6.9K
400K
¥5.4 / ¥32.4输入/输出
69
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
80.8
12.8K
1.05M
¥3.6 / ¥21.6输入/输出
70
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
80.5
11.2K
262K
¥0.72 / ¥2.16输入/输出
71
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
80.2
2.3K
128K
¥2.16 / ¥8.64输入/输出
72
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
79.9
2K
258K
¥6.19 / ¥24.7输入/输出
73
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
79.7
4.7K
1M
¥1.01 / ¥2.02输入/输出
74
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
79.4
1.9K
128K
¥0 / ¥0输入/输出
75
Ogpt-5.1
gpt-5.1Openai
79.1
9.1K
400K
¥9 / ¥72输入/输出
76
Ogpt-5.5-instant
gpt-5.5-instantOpenai
78.8
7.2K
400K
¥9 / ¥72输入/输出
77
MAmistral-medium-2508
mistral-medium-2508Mistral
78.5
20.4K
262K
¥2.88 / ¥14.4输入/输出
78
Ogpt-5-high
gpt-5-highOpenai
78.2
6.4K
400K
¥9 / ¥72输入/输出
79
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
78.0
2.5K
128K
¥0 / ¥0输入/输出
80
ST
step-3.5-flash
step-3.5-flashStepfun
77.7
8.4K
256K
¥0.69 / ¥2.07输入/输出
81
Zglm-4.5
glm-4.5Zai
77.4
4.8K
131K
¥4.32 / ¥15.8输入/输出
82
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
77.1
5.4K
1M
¥9 / ¥18输入/输出
83
Ogpt-5.2
gpt-5.2Openai
76.8
11.4K
400K
¥12.6 / ¥101输入/输出
84
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
76.6
5.3K
-
-
85
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
76.3
7K
262K
¥2.88 / ¥23输入/输出
86
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
76.0
1.6K
256K
¥0 / ¥0输入/输出
87
Xgrok-4-fast-chat
grok-4-fast-chatXai
75.7
1.2K
2M
¥1.44 / ¥3.6输入/输出
88
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
75.4
636
128K
¥1.8 / ¥5.04输入/输出
89
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
75.1
704
-
-
90
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
74.9
1.6K
131K
¥2.06 / ¥8.26输入/输出
91
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
74.6
2.7K
164K
¥3.6 / ¥15.5输入/输出
92
Xgrok-4.3
grok-4.3Xai
74.3
4.4K
1M
¥9 / ¥18输入/输出
93
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
74.0
2K
128K
¥7.92 / ¥14.4输入/输出
94
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
73.7
1.6K
131K
¥2.07 / ¥8.26输入/输出
95
Ggemini-2.5-flash
gemini-2.5-flashGoogle
73.4
25.2K
1.05M
¥2.16 / ¥18输入/输出
96
Aqwen3.5-27b
qwen3.5-27bAlibaba
73.2
6.9K
262K
¥2.16 / ¥17.3输入/输出
97
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
72.9
3.4K
205K
¥0 / ¥0输入/输出
98
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
72.6
437
-
-
99
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
72.3
1.9K
128K
¥1.44 / ¥5.04输入/输出
100
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
72.0
4K
2M
¥1.44 / ¥3.6输入/输出
101
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
71.8
2.4K
262K
¥0.72 / ¥2.16输入/输出
102
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
71.5
4.7K
262K
¥2.16 / ¥3.6输入/输出
103
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
71.2
15.9K
128K
¥18 / ¥72输入/输出
104
Ddeepseek-v3.1
deepseek-v3.1Deepseek
70.9
2.6K
128K
¥1.44 / ¥5.04输入/输出
105
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
70.6
916
128K
¥7.92 / ¥14.4输入/输出
106
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
70.3
6.4K
200K
¥21.6 / ¥108输入/输出
107
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
70.1
2.3K
-
-
108
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
69.8
4.8K
262K
¥6.2 / ¥24.8输入/输出
109
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
69.5
12.7K
2M
¥1.44 / ¥3.6输入/输出
110
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
69.2
7.2K
262K
¥1.8 / ¥14.4输入/输出
111
Xgrok-4-0709
grok-4-0709Xai
68.9
8.2K
256K
¥21.6 / ¥108输入/输出
112
Aqwen3.5-flash
qwen3.5-flashAlibaba
68.6
8.2K
1M
¥1.24 / ¥12.4输入/输出
113
Oo3-2025-04-16
o3-2025-04-16Openai
68.4
11.8K
200K
¥14.4 / ¥57.6输入/输出
114
Ogpt-5-mini-high
gpt-5-mini-highOpenai
68.1
5.5K
400K
¥1.8 / ¥14.4输入/输出
115
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
67.8
778
128K
¥1.8 / ¥5.04输入/输出
116
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
67.5
7.9K
128K
¥12.6 / ¥101输入/输出
117
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.2
1.7K
262K
¥1.44 / ¥5.76输入/输出
118
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
66.9
6.9K
400K
¥1.44 / ¥9输入/输出
119
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
66.7
6.8K
1M
¥2.16 / ¥18输入/输出
120
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
66.4
7.9K
200K
¥108 / ¥540输入/输出
121
Ogpt-5-chat
gpt-5-chatOpenai
66.1
6K
400K
¥9 / ¥72输入/输出
122
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
65.8
9.1K
1.05M
¥1.8 / ¥10.8输入/输出
123
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
65.5
2.2K
262K
¥4.32 / ¥18输入/输出
124
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
65.3
7K
131K
¥2.07 / ¥8.26输入/输出
125
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
65.0
1.9K
8.19K
¥216 / ¥432输入/输出
126
Zglm-4.5-air
glm-4.5-airZai
64.7
6.1K
131K
¥0 / ¥0输入/输出
127
Zglm-4.6v
glm-4.6vZai
64.4
536
128K
¥2.16 / ¥6.48输入/输出
128
IA
mercury-2
mercury-2Inception Ai
64.1
768
128K
¥1.8 / ¥5.4输入/输出
129
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
63.8
2.7K
131K
¥1.04 / ¥10.3输入/输出
130
AG
ling-flash-2.0
ling-flash-2.0Ant Group
63.6
1.5K
131K
¥1.01 / ¥4.1输入/输出
131
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
63.3
9.3K
1.05M
¥14.4 / ¥57.6输入/输出
132
Anova-2-lite
nova-2-liteAmazon
63.0
2.5K
128K
¥2.38 / ¥19.8输入/输出
133
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
62.7
805
131K
¥0 / ¥0输入/输出
134
MAmistral-medium-2505
mistral-medium-2505Mistral
62.4
5.9K
262K
¥2.88 / ¥14.4输入/输出
135
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
62.1
4.3K
131K
¥2.07 / ¥8.26输入/输出
136
Zglm-4.7-flash
glm-4.7-flashZai
61.9
2.7K
200K
¥0 / ¥0输入/输出
137
Ogpt-oss-120b
gpt-oss-120bOpenai
61.6
6.5K
131K
¥1.08 / ¥4.32输入/输出
138
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
61.3
7.4K
200K
¥21.6 / ¥108输入/输出
139
Mminimax-m2.5
minimax-m2.5Minimax
61.0
9.3K
205K
¥0 / ¥0输入/输出
140
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
60.7
3.3K
131K
¥0 / ¥0输入/输出
141
Oo3-mini-high
o3-mini-highOpenai
60.5
2.6K
200K
¥7.92 / ¥31.7输入/输出
142
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
60.2
5.2K
131K
¥4.32 / ¥18输入/输出
143
UNtrinity-large-preview
-
59.9
6.9K
262K
¥1.8 / ¥6.48输入/输出
144
Xgrok-3-mini-high
grok-3-mini-highXai
59.6
3.3K
128K
¥0 / ¥0输入/输出
145
Mminimax-m2
minimax-m2Minimax
59.3
1.5K
197K
¥0 / ¥0输入/输出
146
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
59.0
6K
65.5K
¥0.72 / ¥2.88输入/输出
147
Ddeepseek-r1
deepseek-r1Deepseek
58.8
2.3K
164K
¥5.04 / ¥18输入/输出
148
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
58.5
9.7K
1.05M
¥0.72 / ¥2.88输入/输出
149
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
58.2
8.4K
75K
¥1.44 / ¥5.76输入/输出
150
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
57.9
8.7K
200K
¥7.92 / ¥31.7输入/输出
151
UNintellect-3
-
57.6
973
131K
¥1.44 / ¥7.92输入/输出
152
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
57.3
6.9K
1.05M
¥2.88 / ¥11.5输入/输出
153
Oo1-2024-12-17
o1-2024-12-17Openai
57.1
4K
128K
¥108 / ¥432输入/输出
154
Oo1-preview
o1-previewOpenai
56.8
5.1K
128K
¥108 / ¥432输入/输出
155
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
56.5
552
-
-
156
Xgrok-3-mini-beta
grok-3-mini-betaXai
56.2
4.3K
1M
¥9 / ¥18输入/输出
157
AGring-flash-2.0
ring-flash-2.0Ant Group
55.9
1.5K
131K
¥1.01 / ¥4.1输入/输出
158
STstep-3
step-3Stepfun
55.6
1.2K
65.5K
¥1.8 / ¥4.68输入/输出
159
MAmistral-small-2506
mistral-small-2506Mistral
55.4
3.4K
262K
¥2.88 / ¥14.4输入/输出
160
Oo1-mini
o1-miniOpenai
55.1
8.5K
128K
¥7.92 / ¥31.7输入/输出
161
UNtrinity-large-thinking
-
54.8
6.4K
262K
¥1.8 / ¥6.48输入/输出
162
Oo3-mini
o3-miniOpenai
54.5
9.5K
200K
¥7.92 / ¥31.7输入/输出
163
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
54.2
6.2K
-
-
164
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
54.0
1.8K
131K
¥0 / ¥0输入/输出
165
Aqwen2.5-max
qwen2.5-maxAlibaba
53.7
5.1K
32K
¥11.5 / ¥46输入/输出
166
Mminimax-m1
minimax-m1Minimax
53.4
6.5K
1M
¥0.95 / ¥9.03输入/输出
167
Aqwen3-32b
qwen3-32bAlibaba
53.1
513
131K
¥2.07 / ¥8.26输入/输出
168
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
52.8
659
131K
¥2.88 / ¥2.88输入/输出
169
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
52.5
7K
1.05M
¥1.08 / ¥4.32输入/输出
170
Ogpt-5-nano-high
gpt-5-nano-highOpenai
52.3
1.7K
400K
¥0.36 / ¥2.88输入/输出
171
Zglm-4.5v
glm-4.5vZai
52.0
991
64K
¥4.32 / ¥13输入/输出
172
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
51.7
2.5K
200K
¥14.4 / ¥57.6输入/输出
173
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
51.4
275
131K
¥0 / ¥0输入/输出
174
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
51.1
15K
200K
¥21.6 / ¥108输入/输出
175
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
50.8
1.5K
-
-
176
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
50.6
7.1K
200K
¥21.6 / ¥108输入/输出
177
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
50.3
4.5K
128K
¥0.79 / ¥7.78输入/输出
178
Aqwq-32b
qwq-32bAlibaba
50.0
4K
131K
¥2.07 / ¥6.2输入/输出
179
CO
command-a-03-2025
command-a-03-2025Cohere
49.7
10.2K
256K
¥18 / ¥72输入/输出
180
Aqwen-plus-0125
qwen-plus-0125Alibaba
49.4
893
1M
¥0.83 / ¥2.07输入/输出
181
IAmercury
mercuryInception Ai
49.2
394
128K
¥1.8 / ¥5.4输入/输出
182
Ddeepseek-v3
deepseek-v3Deepseek
48.9
3.3K
128K
¥0 / ¥0输入/输出
183
Ggemma-3-27b-it
gemma-3-27b-itGoogle
48.6
8.1K
128K
¥2.15 / ¥2.15输入/输出
184
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
48.3
3.5K
1.05M
¥0.54 / ¥2.16输入/输出
185
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
48.0
1.1K
128K
¥2.16 / ¥3.24输入/输出
186
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
47.7
299
-
-
187
MAmagistral-medium-2506
magistral-medium-2506Mistral
47.5
2.3K
128K
¥14.4 / ¥36输入/输出
188
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
47.2
737
16.4K
¥37.5 / ¥118输入/输出
189
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
46.9
1.6K
-
-
190
IB
granite-4.1-8b
granite-4.1-8bIbm
46.6
944
131K
¥0.36 / ¥0.72输入/输出
191
UNyi-lightning
-
46.3
4.3K
12K
¥1.44 / ¥1.44输入/输出
192
UNathene-v2-chat
-
46.0
4K
-
-
193
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
45.8
367
128K
¥4.32 / ¥13输入/输出
194
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
45.5
6.1K
262K
¥2.88 / ¥14.4输入/输出
195
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
45.2
1.1K
1M
¥1.01 / ¥2.02输入/输出
196
Ogpt-oss-20b
gpt-oss-20bOpenai
44.9
2.2K
131K
¥0.32 / ¥1.3输入/输出
197
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
44.6
519
-
-
198
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
44.4
13.6K
200K
¥21.6 / ¥108输入/输出
199
TEhunyuan-large-vision
hunyuan-large-visionTencent
44.1
964
-
-
200
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
43.8
807
1.05M
¥14.4 / ¥57.6输入/输出
201
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
43.5
7K
1M
¥1.8 / ¥6.26输入/输出
202
Ddeepseek-v2.5
deepseek-v2.5Deepseek
43.2
4.3K
1M
¥1.01 / ¥2.02输入/输出
203
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
42.9
19.5K
128K
¥36 / ¥108输入/输出
204
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
42.7
286
131K
¥0 / ¥0输入/输出
205
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
42.4
9.2K
-
-
206
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
42.1
6.7K
131K
¥4.13 / ¥12.4输入/输出
207
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
41.8
6.2K
128K
¥0 / ¥0输入/输出
208
Zglm-4-plus
glm-4-plusZai
41.5
4.4K
128K
¥54 / ¥54输入/输出
209
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
41.2
10.9K
128K
¥1.08 / ¥4.32输入/输出
210
Aqwen-max-0919
qwen-max-0919Alibaba
41.0
2.8K
131K
¥2.48 / ¥9.91输入/输出
211
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
40.7
1.6K
200K
¥14.4 / ¥57.6输入/输出
212
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
40.4
10.4K
1M
¥9 / ¥18输入/输出
213
Zglm-4-plus-0111
glm-4-plus-0111Zai
40.1
894
128K
¥72 / ¥72输入/输出
214
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
39.8
11.2K
200K
¥5.76 / ¥28.8输入/输出
215
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
39.5
5.3K
128K
¥1.44 / ¥5.62输入/输出
216
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
39.3
9.7K
128K
¥0 / ¥0输入/输出
217
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
39.0
7.3K
128K
¥18 / ¥72输入/输出
218
Ggemma-3-12b-it
gemma-3-12b-itGoogle
38.7
543
128K
¥1.96 / ¥1.96输入/输出
219
MAmistral-large-2407
mistral-large-2407Mistral
38.4
7.6K
131K
¥14.4 / ¥43.2输入/输出
220
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
38.1
873
131K
¥2.07 / ¥6.2输入/输出
221
MAmistral-large-2411
mistral-large-2411Mistral
37.9
4.2K
128K
¥14.4 / ¥43.2输入/输出
222
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
37.6
1.3K
128K
¥0 / ¥0输入/输出
223
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
37.3
3.9K
300K
¥5.76 / ¥23输入/输出
224
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
37.0
549
-
-
225
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
36.7
3.5K
128K
¥0 / ¥0输入/输出
226
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
36.4
8.7K
1M
¥9 / ¥18输入/输出
227
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
36.2
8.7K
128K
¥0 / ¥0输入/输出
228
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
35.9
17.1K
128K
¥72 / ¥216输入/输出
229
UNathene-70b-0725
-
35.6
3.1K
-
-
230
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
35.3
12.7K
-
-
231
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
35.0
33.7K
200K
¥108 / ¥540输入/输出
232
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
34.7
5.9K
2M
¥0.54 / ¥2.2输入/输出
233
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
34.5
9.4K
131K
¥2.88 / ¥2.88输入/输出
234
Ggemini-advanced-0514
gemini-advanced-0514Google
34.2
8.1K
-
-
235
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
33.9
15.6K
8.19K
¥216 / ¥432输入/输出
236
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
33.6
2.7K
1M
¥1.01 / ¥2.02输入/输出
237
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
33.3
15.3K
8.19K
¥216 / ¥432输入/输出
238
IBibm-granite-h-small
ibm-granite-h-smallIbm
33.1
1.3K
-
-
239
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
32.8
2.1K
262K
¥2.88 / ¥14.4输入/输出
240
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
32.5
3.1K
300K
¥0.43 / ¥1.73输入/输出
241
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
32.2
10.7K
2M
¥0.54 / ¥2.2输入/输出
242
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
31.9
450
-
-
243
M
phi-4
phi-4Microsoft
31.6
3.3K
128K
¥0.9 / ¥3.6输入/输出
244
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
31.4
497
-
-
245
Ggemma-3-4b-it
gemma-3-4b-itGoogle
31.1
605
128K
¥1.44 / ¥1.44输入/输出
246
UNreka-core-20240904
-
30.8
1.2K
-
-
247
Zglm-4-0520
glm-4-0520Zai
30.5
1.7K
128K
¥108 / ¥108输入/输出
248
UNjamba-1.5-large
-
30.2
1.4K
256K
¥0 / ¥0输入/输出
249
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
29.9
665
128K
¥0 / ¥0输入/输出
250
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
29.7
18.9K
200K
¥21.6 / ¥108输入/输出
251
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
29.4
3K
128K
¥0.25 / ¥1.01输入/输出
252
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
29.1
6.1K
2M
¥0.54 / ¥2.2输入/输出
253
Ggemma-2-27b-it
gemma-2-27b-itGoogle
28.8
12.1K
8.19K
¥0.58 / ¥0.58输入/输出
254
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
28.5
427
-
-
255
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
28.2
3.3K
-
-
256
Ogpt-4-0314
gpt-4-0314Openai
28.0
8.3K
8.19K
¥216 / ¥432输入/输出
257
Mllama-3-70b-instruct
llama-3-70b-instructMeta
27.7
28.1K
8.19K
¥3.67 / ¥5.33输入/输出
258
MAministral-8b-2410
ministral-8b-2410Mistral
27.4
838
128K
¥0.72 / ¥0.72输入/输出
259
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
27.1
20.9K
200K
¥1.8 / ¥9输入/输出
260
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
26.8
4.7K
-
-
261
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
26.6
6.2K
131K
¥4.13 / ¥12.4输入/输出
262
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
26.3
8.6K
131K
¥0.79 / ¥0.79输入/输出
263
UNgemma-2-9b-it-simpo
-
26.0
1.5K
8.19K
¥1.44 / ¥1.44输入/输出
264
UNreka-flash-20240904
-
25.7
1.2K
65.5K
¥0.72 / ¥1.44输入/输出
265
Ogpt-4-0613
gpt-4-0613Openai
25.4
13.7K
8.19K
¥216 / ¥432输入/输出
266
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
25.1
1.7K
128K
¥18 / ¥72输入/输出
267
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
24.9
478
-
-
268
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
24.6
4.8K
-
-
269
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
24.3
476
-
-
270
MAmistral-large-2402
mistral-large-2402Mistral
24.0
10.4K
262K
¥2.88 / ¥14.4输入/输出
271
UNjamba-1.5-mini
-
23.7
1.4K
256K
¥0 / ¥0输入/输出
272
Ggemma-2-9b-it
gemma-2-9b-itGoogle
23.4
8.9K
8.19K
¥1.44 / ¥1.44输入/输出
273
COcommand-r-plus
command-r-plusCohere
23.2
13.9K
128K
¥18 / ¥72输入/输出
274
COcommand-r-08-2024
command-r-08-2024Cohere
22.9
1.8K
128K
¥18 / ¥72输入/输出
275
UNyi-1.5-34b-chat
-
22.6
3.8K
-
-
276
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
22.3
8.8K
64K
¥14.4 / ¥43.2输入/输出
277
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
22.0
6.4K
-
-
278
UNreka-flash-21b-20240226-online
-
21.8
2.9K
-
-
279
MAmistral-medium
mistral-mediumMistral
21.5
5.1K
262K
¥2.88 / ¥14.4输入/输出
280
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
21.2
1.6K
-
-
281
UNinternlm2_5-20b-chat
-
20.9
1.7K
-
-
282
Aqwq-32b-preview
qwq-32b-previewAlibaba
20.6
566
131K
¥2.07 / ¥6.2输入/输出
283
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
20.3
3.9K
-
-
284
UNreka-flash-21b-20240226
-
20.1
4.7K
-
-
285
Mllama-3-8b-instruct
llama-3-8b-instructMeta
19.8
18.4K
8.19K
¥0.29 / ¥0.29输入/输出
286
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
19.5
508
-
-
287
UNstarling-lm-7b-beta
-
19.2
2.9K
200K
¥5.4 / ¥18.7输入/输出
288
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
18.9
3.2K
-
-
289
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
18.6
11.1K
16.4K
¥3.6 / ¥10.8输入/输出
290
UNdbrx-instruct-preview
-
18.4
5.5K
-
-
291
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
18.1
4K
4.1K
¥1.22 / ¥4.9输入/输出
292
UNzephyr-orpo-141b-A35b-v0.1
-
17.8
831
200K
¥108 / ¥432输入/输出
293
COcommand-r
command-rCohere
17.5
9.6K
128K
¥18 / ¥72输入/输出
294
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
17.2
11.8K
32K
¥5.04 / ¥5.04输入/输出
295
UNtulu-2-dpo-70b
-
16.9
805
-
-
296
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
16.7
2.1K
16.4K
¥7.2 / ¥14.4输入/输出
297
UNopenchat-3.5-0106
-
16.4
2K
-
-
298
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
16.1
1.1K
-
-
299
Ggemma-2-2b-it
gemma-2-2b-itGoogle
15.8
7.3K
128K
¥0 / ¥0输入/输出
300
UNyi-34b-chat
-
15.5
2.3K
-
-
301
Ggemini-pro
gemini-proGoogle
15.3
678
1.05M
¥14.4 / ¥86.4输入/输出
302
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
15.0
772
-
-
303
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
14.7
2.7K
1.05M
¥14.4 / ¥86.4输入/输出
304
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
14.4
3.2K
8.19K
¥1.08 / ¥4.32输入/输出
305
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
14.1
1.4K
131K
¥0.22 / ¥0.35输入/输出
306
UNstarling-lm-7b-alpha
-
13.8
1.4K
200K
¥5.4 / ¥18.7输入/输出
307
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
13.6
649
1M
¥1.01 / ¥2.02输入/输出
308
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
13.3
1.8K
4.1K
¥0.94 / ¥3.74输入/输出
309
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
13.0
3.4K
4.1K
¥0.94 / ¥3.74输入/输出
310
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
12.7
1.1K
-
-
311
UNsnowflake-arctic-instruct
-
12.4
5.7K
-
-
312
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
12.1
4.3K
-
-
313
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
11.9
3.1K
262K
¥2.88 / ¥14.4输入/输出
314
Mwizardlm-70b
wizardlm-70bMicrosoft
11.6
988
-
-
315
UNnous-hermes-2-mixtral-8x7b-dpo
-
11.3
575
1M
¥36 / ¥180输入/输出
316
Mllama-2-70b-chat
llama-2-70b-chatMeta
11.0
5.7K
-
-
317
UNvicuna-33b
-
10.7
2.9K
-
-
318
UNopenchat-3.5
-
10.5
971
-
-
319
Aqwen-14b-chat
qwen-14b-chatAlibaba
10.2
599
32.8K
¥1.04 / ¥3.1输入/输出
320
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
9.9
1.3K
16.4K
¥0.07 / ¥0.08输入/输出
321
UNsolar-10.7b-instruct-v1.0
-
9.6
482
128K
¥0 / ¥0输入/输出
322
UNopenhermes-2.5-mistral-7b
-
9.3
589
1M
¥36 / ¥180输入/输出
323
Mllama-2-13b-chat
llama-2-13b-chatMeta
9.0
2.6K
-
-
324
UNzephyr-7b-alpha
-
8.8
201
-
-
325
Ggemma-7b-it
gemma-7b-itGoogle
8.5
1.4K
-
-
326
UNsmollm2-1.7b-instruct
-
8.2
352
-
-
327
Mcodellama-34b-instruct
codellama-34b-instructMeta
7.9
853
-
-
328
UNzephyr-7b-beta
-
7.6
1.3K
-
-
329
UNvicuna-13b
-
7.3
2.4K
-
-
330
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
7.1
3.9K
128K
¥0.94 / ¥3.74输入/输出
331
UNmpt-30b-chat
-
6.8
258
-
-
332
Mwizardlm-13b
wizardlm-13bMicrosoft
6.5
735
-
-
333
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
6.2
2K
-
-
334
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
5.9
467
-
-
335
MAmistral-7b-instruct
mistral-7b-instructMistral
5.6
1K
262K
¥2.88 / ¥14.4输入/输出
336
AIolmo-7b-instruct
olmo-7b-instructAllenai
5.4
772
-
-
337
UNvicuna-7b
-
5.1
726
-
-
338
Ggemma-2b-it
gemma-2b-itGoogle
4.8
742
-
-
339
Mllama-2-7b-chat
llama-2-7b-chatMeta
4.5
2K
128K
¥4.03 / ¥48输入/输出
340
UNstripedhyena-nous-7b
-
4.2
704
-
-
341
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
4.0
1.3K
-
-
342
UNguanaco-33b
-
3.7
263
200K
¥14.4 / ¥57.6输入/输出
343
Gpalm-2
palm-2Google
3.4
917
-
-
344
UNchatglm3-6b
-
3.1
535
200K
¥5.4 / ¥18.7输入/输出
345
UNkoala-13b
-
2.8
747
-
-
346
UNRWKV-4-Raven-14B
-
2.5
505
-
-
347
UNchatglm-6b
-
2.3
551
200K
¥5.4 / ¥18.7输入/输出
348
UNmpt-7b-chat
-
2.0
397
-
-
349
UNchatglm2-6b
-
1.7
293
200K
¥5.4 / ¥18.7输入/输出
350
UNoasst-pythia-12b
-
1.4
714
-
-
351
UNstablelm-tuned-alpha-7b
-
1.1
363
-
-
352
UNalpaca-13b
-
0.8
626
-
-
353
UNdolly-v2-12b
-
0.6
396
-
-
354
UNfastchat-t5-3b
-
0.3
428
-
-
355
Mllama-13b
llama-13bMeta
0.0
304
-
-
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 8.3K。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
代码能力常见问题
代码能力排行榜看什么指标？
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。
代码能力模型应该怎么选？
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。