1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
42.1K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 总榜
基于公开偏好评测数据展示 文本 / 总榜 榜单，每个榜单独立排序。
总榜模型怎么选？
总榜排行榜用于回答“总榜哪个 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 42.1K。 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 2026-06-10 为准。
claude-opus-4-6-thinkingclaude-opus-4-6-thinkinggpt-5.4-mini-highclaude-opus-4-6-thinkinggpt-5.4-high
1
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
42.8K
1M
¥36 / ¥180输入/输出
1
O
gpt-5.4-mini-high
gpt-5.4-mini-highOpenai
100.0
35.2K
400K
¥5.4 / ¥32.4输入/输出
1
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
42.1K
1M
¥36 / ¥180输入/输出
1
Ogpt-5.4-high
gpt-5.4-highOpenai
100.0
36.7K
1.05M
¥18 / ¥108输入/输出
1
Ogpt-5.4-high
gpt-5.4-highOpenai
100.0
36.7K
1.05M
¥18 / ¥108输入/输出
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
45.1K
1M
¥36 / ¥180输入/输出
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
45.8K
1M
¥36 / ¥180输入/输出
2
Ogpt-5.4
gpt-5.4Openai
99.7
38.9K
1.05M
¥18 / ¥108输入/输出
2
Ogpt-5.4
gpt-5.4Openai
99.7
38.9K
1.05M
¥18 / ¥108输入/输出
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
45.1K
1M
¥36 / ¥180输入/输出
2
Ogpt-5.5-high
gpt-5.5-highOpenai
99.7
24.2K
1.05M
¥36 / ¥216输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.5
28.4K
1M
¥36 / ¥180输入/输出
3
Aclaude-fable-5
claude-fable-5Anthropic
99.5
2.9K
1M
¥72 / ¥360输入/输出
3
Ogpt-5.4-high
gpt-5.4-highOpenai
99.5
36.7K
1.05M
¥18 / ¥108输入/输出
3
Ogpt-5.5-high
gpt-5.5-highOpenai
99.5
24.2K
1.05M
¥36 / ¥216输入/输出
3
Ogpt-5.4-high
gpt-5.4-highOpenai
99.5
36.7K
1.05M
¥18 / ¥108输入/输出
3
Ogpt-5.4
gpt-5.4Openai
99.5
38.9K
1.05M
¥18 / ¥108输入/输出
4
Ogpt-5.2-high
gpt-5.2-highOpenai
99.2
47.3K
400K
¥12.6 / ¥101输入/输出
4
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
99.2
54.6K
1.05M
¥14.4 / ¥86.4输入/输出
4
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.2
28.9K
1M
¥36 / ¥180输入/输出
4
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
99.2
35.2K
400K
¥5.4 / ¥32.4输入/输出
4
Ggemini-3.5-flash
gemini-3.5-flashGoogle
99.2
10K
1.05M
¥10.8 / ¥64.8输入/输出
4
Ogpt-5.5
gpt-5.5Openai
99.2
24.8K
1.05M
¥36 / ¥216输入/输出
5
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.9
29.5K
1M
¥36 / ¥180输入/输出
5
Ogpt-5.5-high
gpt-5.5-highOpenai
98.9
24.2K
1.05M
¥36 / ¥216输入/输出
5
Ogpt-5.5
gpt-5.5Openai
98.9
24.8K
1.05M
¥36 / ¥216输入/输出
5
Ogpt-5.5-high
gpt-5.5-highOpenai
98.9
24.2K
1.05M
¥36 / ¥216输入/输出
5
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.9
55.4K
1.05M
¥14.4 / ¥86.4输入/输出
5
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
98.9
42.1K
1M
¥36 / ¥180输入/输出
6
Ggemini-3-pro
gemini-3-proGoogle
98.6
40.4K
1.05M
¥14.4 / ¥86.4输入/输出
6
Ogpt-5.2
gpt-5.2Openai
98.6
54.9K
400K
¥12.6 / ¥101输入/输出
6
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.6
10.1K
1.05M
¥10.8 / ¥64.8输入/输出
6
Ggemini-3-pro
gemini-3-proGoogle
98.6
40.4K
1.05M
¥14.4 / ¥86.4输入/输出
6
Ogpt-5.2-high
gpt-5.2-highOpenai
98.6
47.3K
400K
¥12.6 / ¥101输入/输出
6
Aclaude-opus-4-6
claude-opus-4-6Anthropic
98.6
45.1K
1M
¥36 / ¥180输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.4
10K
1.05M
¥10.8 / ¥64.8输入/输出
7
Ogpt-5.5
gpt-5.5Openai
98.4
24.8K
1.05M
¥36 / ¥216输入/输出
7
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.4
29.9K
1M
¥36 / ¥180输入/输出
7
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.4
28.4K
1M
¥36 / ¥180输入/输出
7
Ogpt-5.1-high
gpt-5.1-highOpenai
98.4
40K
128K
¥9 / ¥72输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.4
10K
1.05M
¥10.8 / ¥64.8输入/输出
8
Ogpt-5.1
gpt-5.1Openai
98.1
42.6K
128K
¥9 / ¥72输入/输出
8
A
qwen3.7-max-preview
qwen3.7-max-previewAlibaba
98.1
3.7K
1M
¥18 / ¥54输入/输出
8
Ggemini-3-pro
gemini-3-proGoogle
98.1
41.3K
1.05M
¥14.4 / ¥86.4输入/输出
8
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
98.1
3.7K
1M
¥18 / ¥54输入/输出
8
Ogpt-5.1
gpt-5.1Openai
98.1
42.6K
128K
¥9 / ¥72输入/输出
8
Ggemini-3-pro
gemini-3-proGoogle
98.1
40.4K
1.05M
¥14.4 / ¥86.4输入/输出
9
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
97.8
32.6K
128K
¥12.6 / ¥101输入/输出
9
M
muse-spark
muse-sparkMeta
97.8
13.4K
-
-
9
Ogpt-5.5
gpt-5.5Openai
97.8
24.8K
1.05M
¥36 / ¥216输入/输出
9
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.8
3.7K
1M
¥18 / ¥54输入/输出
9
Ogpt-5.2
gpt-5.2Openai
97.8
54.9K
400K
¥12.6 / ¥101输入/输出
9
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.8
3.7K
1M
¥18 / ¥54输入/输出
10
Ogpt-5.1-high
gpt-5.1-highOpenai
97.5
40K
128K
¥9 / ¥72输入/输出
10
Ogpt-5.4-high
gpt-5.4-highOpenai
97.5
36.7K
1.05M
¥18 / ¥108输入/输出
10
Aclaude-opus-4-7
claude-opus-4-7Anthropic
97.5
29.5K
1M
¥36 / ¥180输入/输出
10
Mmuse-spark
muse-sparkMeta
97.5
13.5K
-
-
10
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
97.5
8.9K
200K
¥108 / ¥540输入/输出
10
Aclaude-opus-4-8
claude-opus-4-8Anthropic
97.5
9.4K
200K
¥108 / ¥540输入/输出
11
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.3
21.3K
-
-
11
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
97.3
34.3K
400K
¥1.44 / ¥9输入/输出
11
Ogpt-5.4
gpt-5.4Openai
97.3
38.9K
1.05M
¥18 / ¥108输入/输出
11
Ogpt-5.4-high
gpt-5.4-highOpenai
97.3
37.1K
1.05M
¥18 / ¥108输入/输出
11
Ogpt-5.1-high
gpt-5.1-highOpenai
97.3
40K
128K
¥9 / ¥72输入/输出
11
Ogpt-5.5-instant
gpt-5.5-instantOpenai
97.3
25.9K
400K
¥36 / ¥216输入/输出
12
Ogpt-5.5-high
gpt-5.5-highOpenai
97.0
24.2K
1.05M
¥36 / ¥216输入/输出
12
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.0
21.3K
-
-
12
Ogpt-5.5-instant
gpt-5.5-instantOpenai
97.0
25.9K
400K
¥36 / ¥216输入/输出
12
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.0
21.5K
-
-
12
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.0
21.3K
-
-
12
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
97.0
8.9K
200K
¥108 / ¥540输入/输出
13
Z
glm-5.1
glm-5.1Zai
96.7
15.7K
200K
¥10.1 / ¥31.7输入/输出
13
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
96.7
54.6K
1.05M
¥14.4 / ¥86.4输入/输出
13
Aclaude-opus-4-8
claude-opus-4-8Anthropic
96.7
9.4K
200K
¥108 / ¥540输入/输出
13
Zglm-5.1
glm-5.1Zai
96.7
16K
200K
¥10.1 / ¥31.7输入/输出
13
Aclaude-opus-4-8
claude-opus-4-8Anthropic
96.7
9.4K
200K
¥108 / ¥540输入/输出
13
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
96.7
32.6K
128K
¥12.6 / ¥101输入/输出
14
B
ernie-5.1
ernie-5.1Baidu
96.4
21.5K
119K
¥5.4 / ¥21.6输入/输出
14
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
96.4
8.9K
200K
¥108 / ¥540输入/输出
14
Bernie-5.1
ernie-5.1Baidu
96.4
21.9K
119K
¥5.4 / ¥21.6输入/输出
14
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
96.4
35.2K
400K
¥5.4 / ¥32.4输入/输出
14
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
96.4
33.9K
400K
¥9 / ¥72输入/输出
14
Ggemini-3-pro
gemini-3-proGoogle
96.4
40.4K
1.05M
¥14.4 / ¥86.4输入/输出
15
Ggemini-3-flash
gemini-3-flashGoogle
96.2
30.1K
1.05M
¥3.6 / ¥21.6输入/输出
15
Ogpt-5.5-high
gpt-5.5-highOpenai
96.2
24.6K
1.05M
¥36 / ¥216输入/输出
15
Ggemini-3-flash
gemini-3-flashGoogle
96.2
30.1K
1.05M
¥3.6 / ¥21.6输入/输出
15
Ggemini-2.5-flash
gemini-2.5-flashGoogle
96.2
68.5K
1.05M
¥2.16 / ¥18输入/输出
15
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
96.2
42.1K
1M
¥36 / ¥180输入/输出
15
Aclaude-opus-4-7
claude-opus-4-7Anthropic
96.2
29.5K
1M
¥36 / ¥180输入/输出
16
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
95.9
8.9K
200K
¥108 / ¥540输入/输出
16
Ggemini-3-flash
gemini-3-flashGoogle
95.9
30.7K
1.05M
¥3.6 / ¥21.6输入/输出
16
Zglm-5.1
glm-5.1Zai
95.9
15.7K
200K
¥10.1 / ¥31.7输入/输出
16
Ogpt-5-high
gpt-5-highOpenai
95.9
6.9K
400K
¥9 / ¥72输入/输出
16
Ogpt-5.2-high
gpt-5.2-highOpenai
95.9
47.3K
400K
¥12.6 / ¥101输入/输出
16
Ggemini-3.5-flash
gemini-3.5-flashGoogle
95.9
10K
1.05M
¥10.8 / ¥64.8输入/输出
17
Ogpt-5.5
gpt-5.5Openai
95.6
24.8K
1.05M
¥36 / ¥216输入/输出
17
Aclaude-opus-4-8
claude-opus-4-8Anthropic
95.6
9.4K
200K
¥108 / ¥540输入/输出
17
Ogpt-5-mini-high
gpt-5-mini-highOpenai
95.6
6.8K
400K
¥1.8 / ¥14.4输入/输出
17
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
95.6
9.2K
200K
¥108 / ¥540输入/输出
17
Ogpt-5.1
gpt-5.1Openai
95.6
42.6K
128K
¥9 / ¥72输入/输出
17
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
95.6
33.9K
400K
¥9 / ¥72输入/输出
18
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
95.3
22.9K
1.05M
¥0 / ¥0输入/输出
18
UNtrinity-large-preview
-
95.3
29.6K
131K
¥1.8 / ¥7.2输入/输出
18
Mmuse-spark
muse-sparkMeta
95.3
13.4K
-
-
18
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
95.3
23.4K
1.05M
¥0 / ¥0输入/输出
18
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
95.3
28.4K
1M
¥36 / ¥180输入/输出
18
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
95.3
36.2K
200K
¥108 / ¥540输入/输出
19
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
95.1
35.1K
1M
¥21.6 / ¥108输入/输出
19
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
95.1
36.2K
200K
¥108 / ¥540输入/输出
19
Ogpt-5.5
gpt-5.5Openai
95.1
25.3K
1.05M
¥36 / ¥216输入/输出
19
Ggemini-2.5-pro
gemini-2.5-proGoogle
95.1
67.9K
1.05M
¥9 / ¥72输入/输出
19
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
95.1
21.3K
-
-
19
Ggemini-2.5-pro
gemini-2.5-proGoogle
95.1
67.9K
1.05M
¥9 / ¥72输入/输出
20
M
kimi-k2.6
kimi-k2.6Moonshot
94.8
22.2K
262K
¥6.84 / ¥28.8输入/输出
20
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
94.8
8.9K
200K
¥108 / ¥540输入/输出
20
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
94.8
22.9K
1.05M
¥0 / ¥0输入/输出
20
Aclaude-opus-4-6
claude-opus-4-6Anthropic
94.8
45.1K
1M
¥36 / ¥180输入/输出
20
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
94.8
54.6K
1.05M
¥14.4 / ¥86.4输入/输出
20
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.8
124.5K
1.05M
¥9 / ¥72输入/输出
21
Ogpt-5.4
gpt-5.4Openai
94.5
38.9K
1.05M
¥18 / ¥108输入/输出
21
Ogpt-5-chat
gpt-5-chatOpenai
94.5
7.7K
400K
¥9 / ¥72输入/输出
21
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.5
67.9K
1.05M
¥9 / ¥72输入/输出
21
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
94.5
35.1K
1M
¥21.6 / ¥108输入/输出
21
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
94.5
36.2K
200K
¥108 / ¥540输入/输出
21
Mkimi-k2.6
kimi-k2.6Moonshot
94.5
22.6K
262K
¥6.84 / ¥28.8输入/输出
22
Aclaude-opus-4-8
claude-opus-4-8Anthropic
94.2
9.4K
200K
¥108 / ¥540输入/输出
22
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
94.2
7.8K
8.19K
¥216 / ¥432输入/输出
22
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
94.2
34.3K
400K
¥1.44 / ¥9输入/输出
22
Ogpt-5.1-high
gpt-5.1-highOpenai
94.2
40K
128K
¥9 / ¥72输入/输出
22
Ogpt-5.2
gpt-5.2Openai
94.2
54.9K
400K
¥12.6 / ¥101输入/输出
22
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
94.2
35.7K
1M
¥21.6 / ¥108输入/输出
23
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.0
67.9K
1.05M
¥9 / ¥72输入/输出
23
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
94.0
37.3K
1.05M
¥2.16 / ¥18输入/输出
23
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
94.0
3.7K
1M
¥18 / ¥54输入/输出
23
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
94.0
69.8K
200K
¥36 / ¥180输入/输出
23
Ggemini-3-flash
gemini-3-flashGoogle
94.0
30.1K
1.05M
¥3.6 / ¥21.6输入/输出
23
Ogpt-5.4
gpt-5.4Openai
94.0
39.4K
1.05M
¥18 / ¥108输入/输出
24
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.7
38K
2M
¥14.4 / ¥43.2输入/输出
24
Ggemini-2.5-pro
gemini-2.5-proGoogle
93.7
67.9K
1.05M
¥9 / ¥72输入/输出
24
Ogpt-5.5-instant
gpt-5.5-instantOpenai
93.7
25.9K
400K
¥36 / ¥216输入/输出
24
Ggemini-2.5-flash
gemini-2.5-flashGoogle
93.7
68.5K
1.05M
¥2.16 / ¥18输入/输出
24
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
93.7
36.2K
200K
¥108 / ¥540输入/输出
24
Aclaude-opus-4-8
claude-opus-4-8Anthropic
93.7
9.6K
200K
¥108 / ¥540输入/输出
25
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
93.4
37.1K
1M
¥9 / ¥18输入/输出
25
D
deepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
93.4
2.5K
131K
¥2.07 / ¥3.1输入/输出
25
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
93.4
2.5K
131K
¥2.07 / ¥3.1输入/输出
25
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.4
69.8K
200K
¥36 / ¥180输入/输出
25
Bernie-5.1
ernie-5.1Baidu
93.4
21.5K
119K
¥5.4 / ¥21.6输入/输出
25
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.4
38.4K
2M
¥14.4 / ¥43.2输入/输出
26
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.2
69.8K
200K
¥36 / ¥180输入/输出
26
Ggemini-3-pro
gemini-3-proGoogle
93.2
40.4K
1.05M
¥14.4 / ¥86.4输入/输出
26
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
93.2
33.9K
400K
¥9 / ¥72输入/输出
26
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.2
69.8K
200K
¥36 / ¥180输入/输出
26
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
93.2
37.1K
1M
¥9 / ¥18输入/输出
26
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
93.2
37.6K
1M
¥9 / ¥18输入/输出
27
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
92.9
45.9K
-
-
27
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
92.9
69.8K
200K
¥36 / ¥180输入/输出
27
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
92.9
35.1K
1M
¥21.6 / ¥108输入/输出
27
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
92.9
38K
2M
¥14.4 / ¥43.2输入/输出
27
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.9
61.4K
1.05M
¥3.6 / ¥21.6输入/输出
27
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
92.9
71.1K
200K
¥36 / ¥180输入/输出
28
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
92.6
3.4K
-
-
28
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
92.6
21.3K
-
-
28
Mkimi-k2.6
kimi-k2.6Moonshot
92.6
22.2K
262K
¥6.84 / ¥28.8输入/输出
28
Zglm-5.1
glm-5.1Zai
92.6
15.7K
200K
¥10.1 / ¥31.7输入/输出
28
Aclaude-opus-4-7
claude-opus-4-7Anthropic
92.6
29.5K
1M
¥36 / ¥180输入/输出
28
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.6
25.1K
1M
¥3.13 / ¥6.26输入/输出
29
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.3
24.8K
1M
¥3.13 / ¥6.26输入/输出
29
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
92.3
41K
200K
¥108 / ¥540输入/输出
29
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.3
61.4K
1.05M
¥3.6 / ¥21.6输入/输出
29
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.3
61.4K
1.05M
¥3.6 / ¥21.6输入/输出
29
Ggemini-3-flash
gemini-3-flashGoogle
92.3
30.1K
1.05M
¥3.6 / ¥21.6输入/输出
29
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
92.3
46.5K
-
-
30
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
92.1
36.2K
200K
¥108 / ¥540输入/输出
30
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
92.1
2.5K
131K
¥2.07 / ¥3.1输入/输出
30
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.1
61.4K
1.05M
¥3.6 / ¥21.6输入/输出
30
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.1
24.8K
1M
¥3.13 / ¥6.26输入/输出
30
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
92.1
54.6K
1.05M
¥14.4 / ¥86.4输入/输出
30
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
92.1
3.4K
-
-
31
Zglm-5
glm-5Zai
91.8
22.8K
205K
¥7.2 / ¥23输入/输出
31
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
91.8
40.4K
128K
¥18 / ¥72输入/输出
31
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
91.8
22.9K
1.05M
¥0 / ¥0输入/输出
31
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
91.8
33.9K
400K
¥9 / ¥72输入/输出
31
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
91.8
35.1K
1M
¥21.6 / ¥108输入/输出
31
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
91.8
37.1K
200K
¥108 / ¥540输入/输出
32
M
minimax-m3
minimax-m3Minimax
91.5
7.6K
512K
¥0 / ¥0输入/输出
32
Xgrok-4.3
grok-4.3Xai
91.5
24K
1M
¥9 / ¥18输入/输出
32
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
91.5
37.1K
1M
¥9 / ¥18输入/输出
32
Xgrok-4.20-beta1
grok-4.20-beta1Xai
91.5
26.5K
256K
¥21.6 / ¥108输入/输出
32
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
91.5
40.4K
128K
¥18 / ¥72输入/输出
32
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
91.5
5.2K
246K
¥9.5 / ¥56.9输入/输出
33
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
91.2
23.2K
1M
¥3.13 / ¥6.26输入/输出
33
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
91.2
42.1K
1M
¥36 / ¥180输入/输出
33
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
91.2
5.2K
246K
¥9.5 / ¥56.9输入/输出
33
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
91.2
38K
2M
¥14.4 / ¥43.2输入/输出
33
Ogpt-5-chat
gpt-5-chatOpenai
91.2
7.7K
400K
¥9 / ¥72输入/输出
33
Mminimax-m3
minimax-m3Minimax
91.2
7.8K
512K
¥0 / ¥0输入/输出
34
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
91.0
5.2K
246K
¥9.5 / ¥56.9输入/输出
34
Zglm-5
glm-5Zai
91.0
22.8K
205K
¥7.2 / ¥23输入/输出
34
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
91.0
72.8K
200K
¥21.6 / ¥108输入/输出
34
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
91.0
24.8K
1M
¥3.13 / ¥6.26输入/输出
34
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
91.0
41K
200K
¥108 / ¥540输入/输出
34
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
91.0
23.6K
1M
¥3.13 / ¥6.26输入/输出
35
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
90.7
43.8K
262K
¥4.32 / ¥21.6输入/输出
35
Aclaude-opus-4-6
claude-opus-4-6Anthropic
90.7
45.1K
1M
¥36 / ¥180输入/输出
35
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
90.7
3.4K
-
-
35
Ggemini-2.5-flash
gemini-2.5-flashGoogle
90.7
68.5K
1.05M
¥2.16 / ¥18输入/输出
35
Zglm-4.6
glm-4.6Zai
90.7
28.5K
205K
¥4.32 / ¥15.8输入/输出
35
Zglm-5
glm-5Zai
90.7
23.1K
205K
¥7.2 / ¥23输入/输出
36
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
90.4
61.4K
1.05M
¥3.6 / ¥21.6输入/输出
36
Zglm-4.6
glm-4.6Zai
90.4
28.5K
205K
¥4.32 / ¥15.8输入/输出
36
Xgrok-4.20-beta1
grok-4.20-beta1Xai
90.4
26.5K
256K
¥21.6 / ¥108输入/输出
36
Ogpt-5-high
gpt-5-highOpenai
90.4
6.9K
400K
¥9 / ¥72输入/输出
36
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
90.4
23.2K
1M
¥3.13 / ¥6.26输入/输出
36
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
90.4
44.5K
262K
¥4.32 / ¥21.6输入/输出
37
Xgrok-4.20-beta1
grok-4.20-beta1Xai
90.1
26.5K
256K
¥21.6 / ¥108输入/输出
37
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
90.1
72.8K
200K
¥21.6 / ¥108输入/输出
37
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
90.1
44K
1.05M
¥1.8 / ¥10.8输入/输出
37
Zglm-4.6
glm-4.6Zai
90.1
28.5K
205K
¥4.32 / ¥15.8输入/输出
37
Zglm-4.6
glm-4.6Zai
90.1
28.5K
205K
¥4.32 / ¥15.8输入/输出
37
Bernie-5.0-0110
ernie-5.0-0110Baidu
90.1
35.2K
128K
¥6.05 / ¥24.3输入/输出
38
Bernie-5.0-0110
ernie-5.0-0110Baidu
89.9
34.6K
128K
¥6.05 / ¥24.3输入/输出
38
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
89.9
37.1K
1M
¥9 / ¥18输入/输出
38
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
89.9
35.1K
1M
¥21.6 / ¥108输入/输出
38
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
89.9
40.4K
128K
¥18 / ¥72输入/输出
38
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
89.9
75.5K
200K
¥21.6 / ¥108输入/输出
38
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
89.9
62.5K
1.05M
¥3.6 / ¥21.6输入/输出
39
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
89.6
9.5K
128K
¥6.05 / ¥24.3输入/输出
39
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
89.6
28.4K
1M
¥36 / ¥180输入/输出
39
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
89.6
11.8K
131K
¥2.07 / ¥3.1输入/输出
39
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
89.6
2.5K
131K
¥2.07 / ¥3.1输入/输出
39
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
89.6
72.8K
200K
¥21.6 / ¥108输入/输出
39
Xgrok-4.20-beta1
grok-4.20-beta1Xai
89.6
26.8K
256K
¥21.6 / ¥108输入/输出
40
Ogpt-5.1-high
gpt-5.1-highOpenai
89.3
40K
128K
¥9 / ¥72输入/输出
40
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
89.3
23.2K
1M
¥2.16 / ¥18输入/输出
40
Ogpt-5.1
gpt-5.1Openai
89.3
42.6K
128K
¥9 / ¥72输入/输出
40
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
89.3
75.5K
200K
¥21.6 / ¥108输入/输出
40
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
89.3
37.3K
1.05M
¥2.16 / ¥18输入/输出
40
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
89.3
9.8K
128K
¥6.05 / ¥24.3输入/输出
41
Ggemma-4-31b
gemma-4-31bGoogle
89.0
5.9K
262K
¥1.01 / ¥2.88输入/输出
41
Ggemma-4-31b
gemma-4-31bGoogle
89.0
5.9K
262K
¥1.01 / ¥2.88输入/输出
41
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
89.0
5.8K
262K
¥0.94 / ¥2.88输入/输出
41
Xgrok-4.20-beta1
grok-4.20-beta1Xai
89.0
26.5K
256K
¥21.6 / ¥108输入/输出
41
Mkimi-k2.6
kimi-k2.6Moonshot
89.0
22.2K
262K
¥6.84 / ¥28.8输入/输出
41
Ggemma-4-31b
gemma-4-31bGoogle
89.0
5.9K
262K
¥1.01 / ¥2.88输入/输出
42
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
88.8
75.5K
200K
¥21.6 / ¥108输入/输出
42
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
88.8
25.7K
200K
¥108 / ¥540输入/输出
42
Ogpt-5.5-instant
gpt-5.5-instantOpenai
88.8
25.9K
400K
¥36 / ¥216输入/输出
42
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
88.8
75.5K
200K
¥21.6 / ¥108输入/输出
42
Ggemma-4-31b
gemma-4-31bGoogle
88.8
5.9K
262K
¥1.01 / ¥2.88输入/输出
42
Ogpt-5.1-high
gpt-5.1-highOpenai
88.8
40.8K
128K
¥9 / ¥72输入/输出
43
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
88.5
39.2K
262K
¥3.1 / ¥18.6输入/输出
43
Ggemini-3-flash
gemini-3-flashGoogle
88.5
30.1K
1.05M
¥3.6 / ¥21.6输入/输出
43
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
88.5
24.8K
1M
¥3.13 / ¥6.26输入/输出
43
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
88.5
35.2K
400K
¥5.4 / ¥32.4输入/输出
43
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
88.5
5.2K
246K
¥9.5 / ¥56.9输入/输出
43
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
88.5
39.8K
262K
¥3.1 / ¥18.6输入/输出
44
Zglm-4.6
glm-4.6Zai
88.2
28.5K
205K
¥4.32 / ¥15.8输入/输出
44
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
88.2
37.1K
1M
¥9 / ¥18输入/输出
44
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
88.2
72.8K
200K
¥21.6 / ¥108输入/输出
44
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
88.2
5.8K
262K
¥0.94 / ¥2.88输入/输出
44
Zglm-5
glm-5Zai
88.2
22.8K
205K
¥7.2 / ¥23输入/输出
44
Zglm-4.6
glm-4.6Zai
88.2
35.7K
205K
¥4.32 / ¥15.8输入/输出
45
Aqwen3-max-preview
qwen3-max-previewAlibaba
87.9
7.5K
262K
¥6.2 / ¥24.8输入/输出
45
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
87.9
75.5K
200K
¥21.6 / ¥108输入/输出
45
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
87.9
39.2K
262K
¥3.1 / ¥18.6输入/输出
45
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
87.9
38K
2M
¥14.4 / ¥43.2输入/输出
45
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
87.9
32.6K
128K
¥12.6 / ¥101输入/输出
45
Aqwen3-max-preview
qwen3-max-previewAlibaba
87.9
27.7K
262K
¥6.2 / ¥24.8输入/输出
46
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
87.7
33.9K
400K
¥9 / ¥72输入/输出
46
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
87.7
54.6K
1.05M
¥14.4 / ¥86.4输入/输出
46
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
87.7
22.9K
1.05M
¥0 / ¥0输入/输出
46
Ogpt-5.2-high
gpt-5.2-highOpenai
87.7
47.3K
400K
¥12.6 / ¥101输入/输出
46
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
87.7
5.8K
262K
¥0.94 / ¥2.88输入/输出
46
NV
nvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
87.7
3.5K
1M
¥3.6 / ¥18输入/输出
47
Zglm-4.7
glm-4.7Zai
87.4
11.7K
205K
¥4.32 / ¥15.8输入/输出
47
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
87.4
11.8K
131K
¥2.07 / ¥3.1输入/输出
47
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
87.4
40.4K
128K
¥18 / ¥72输入/输出
47
Xgrok-4.20-beta1
grok-4.20-beta1Xai
87.4
26.5K
256K
¥21.6 / ¥108输入/输出
47
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
87.4
41K
200K
¥108 / ¥540输入/输出
47
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
87.4
34.4K
400K
¥9 / ¥72输入/输出
48
Xgrok-4.1-thinking
grok-4.1-thinkingXai
87.1
64.4K
200K
¥14.4 / ¥72输入/输出
48
Ggemini-3.5-flash
gemini-3.5-flashGoogle
87.1
10K
1.05M
¥10.8 / ¥64.8输入/输出
48
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
87.1
44K
1.05M
¥1.8 / ¥10.8输入/输出
48
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
87.1
5.8K
262K
¥0.94 / ¥2.88输入/输出
48
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
87.1
4K
128K
¥6.05 / ¥24.3输入/输出
48
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
87.1
80.9K
200K
¥21.6 / ¥108输入/输出
49
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
86.8
3.5K
1M
¥3.6 / ¥18输入/输出
49
Ddeepseek-v3.2
deepseek-v3.2Deepseek
86.8
46.3K
128K
¥4.46 / ¥13.3输入/输出
49
Xgrok-4.3
grok-4.3Xai
86.8
24K
1M
¥9 / ¥18输入/输出
49
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
86.8
43.8K
262K
¥4.32 / ¥21.6输入/输出
49
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
86.8
39.2K
262K
¥3.1 / ¥18.6输入/输出
49
Xgrok-4.1-thinking
grok-4.1-thinkingXai
86.8
65.5K
200K
¥14.4 / ¥72输入/输出
50
Xgrok-4.1
grok-4.1Xai
86.6
66.6K
200K
¥14.4 / ¥72输入/输出
50
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
86.6
16.7K
205K
¥0 / ¥0输入/输出
50
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
86.6
4K
128K
¥6.05 / ¥24.3输入/输出
50
Mminimax-m3
minimax-m3Minimax
86.6
7.6K
512K
¥0 / ¥0输入/输出
50
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
86.6
23.2K
1M
¥3.13 / ¥6.26输入/输出
50
Aqwen3.6-plus
qwen3.6-plusAlibaba
86.6
25.9K
1M
¥3.6 / ¥21.6输入/输出
51
Aqwen3.6-plus
qwen3.6-plusAlibaba
86.3
25.5K
1M
¥3.6 / ¥21.6输入/输出
51
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
86.3
3.7K
1M
¥18 / ¥54输入/输出
51
Ggemma-4-31b
gemma-4-31bGoogle
86.3
5.9K
262K
¥1.01 / ¥2.88输入/输出
51
Zglm-4.7
glm-4.7Zai
86.3
11.7K
205K
¥4.32 / ¥15.8输入/输出
51
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
86.3
11.8K
131K
¥2.07 / ¥3.1输入/输出
51
Xgrok-4.1
grok-4.1Xai
86.3
67.6K
200K
¥14.4 / ¥72输入/输出
52
MImimo-v2-pro
mimo-v2-proXiaomi
86.0
24.3K
1.05M
¥0 / ¥0输入/输出
52
Aclaude-opus-4-7
claude-opus-4-7Anthropic
86.0
29.5K
1M
¥36 / ¥180输入/输出
52
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
86.0
25.7K
200K
¥108 / ¥540输入/输出
52
Bernie-5.0-0110
ernie-5.0-0110Baidu
86.0
34.6K
128K
¥6.05 / ¥24.3输入/输出
52
Mmuse-spark
muse-sparkMeta
86.0
13.4K
-
-
52
MImimo-v2-pro
mimo-v2-proXiaomi
86.0
24.5K
1.05M
¥0 / ¥0输入/输出
53
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
85.8
72.8K
200K
¥21.6 / ¥108输入/输出
53
Ggemma-3-27b-it
gemma-3-27b-itGoogle
85.8
2.4K
110K
¥0.72 / ¥2.16输入/输出
53
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
85.8
7.8K
8.19K
¥216 / ¥432输入/输出
53
MImimo-v2-pro
mimo-v2-proXiaomi
85.8
24.3K
1.05M
¥0 / ¥0输入/输出
53
Bernie-5.1
ernie-5.1Baidu
85.8
21.5K
119K
¥5.4 / ¥21.6输入/输出
53
Zglm-4.7
glm-4.7Zai
85.8
12.1K
205K
¥4.32 / ¥15.8输入/输出
54
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
85.5
5.8K
262K
¥0.94 / ¥2.88输入/输出
54
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
85.5
24.8K
1M
¥3.13 / ¥6.26输入/输出
54
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
85.5
23.2K
1M
¥2.16 / ¥18输入/输出
54
Ogpt-5.2
gpt-5.2Openai
85.5
54.9K
400K
¥12.6 / ¥101输入/输出
54
MImimo-v2-pro
mimo-v2-proXiaomi
85.5
24.3K
1.05M
¥0 / ¥0输入/输出
54
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
85.5
5.8K
262K
¥0.94 / ¥2.88输入/输出
55
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
85.2
4K
128K
¥6.05 / ¥24.3输入/输出
55
Ddeepseek-v3.2
deepseek-v3.2Deepseek
85.2
46.3K
128K
¥4.46 / ¥13.3输入/输出
55
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
85.2
2.5K
131K
¥2.07 / ¥3.1输入/输出
55
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
85.2
4K
128K
¥6.05 / ¥24.3输入/输出
55
Zglm-4.7
glm-4.7Zai
85.2
11.7K
205K
¥4.32 / ¥15.8输入/输出
55
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
85.2
82.4K
200K
¥21.6 / ¥108输入/输出
56
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
84.9
40.2K
128K
¥4.46 / ¥13.3输入/输出
56
Zglm-5.1
glm-5.1Zai
84.9
15.7K
200K
¥10.1 / ¥31.7输入/输出
56
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
84.9
40.4K
128K
¥18 / ¥72输入/输出
56
Aqwen3-max-preview
qwen3-max-previewAlibaba
84.9
7.5K
262K
¥6.2 / ¥24.8输入/输出
56
Ddeepseek-v3.2
deepseek-v3.2Deepseek
84.9
46.3K
128K
¥4.46 / ¥13.3输入/输出
56
MA
mistral-large-3
mistral-large-3Mistral
84.9
43.5K
262K
¥3.6 / ¥10.8输入/输出
57
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
84.7
38K
2M
¥14.4 / ¥43.2输入/输出
57
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
84.7
39.2K
262K
¥3.1 / ¥18.6输入/输出
57
MAmistral-large-3
mistral-large-3Mistral
84.7
42.6K
262K
¥3.6 / ¥10.8输入/输出
57
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
84.7
44K
1.05M
¥1.8 / ¥10.8输入/输出
57
Ggemini-2.5-flash
gemini-2.5-flashGoogle
84.7
68.5K
1.05M
¥2.16 / ¥18输入/输出
57
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.7
4.7K
128K
¥6.05 / ¥24.3输入/输出
58
MImimo-v2-omni
mimo-v2-omniXiaomi
84.4
9.1K
262K
¥0 / ¥0输入/输出
58
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
84.4
40.2K
128K
¥4.46 / ¥13.3输入/输出
58
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
84.4
9.5K
128K
¥6.05 / ¥24.3输入/输出
58
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
84.4
3.4K
-
-
58
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
84.4
24.3K
1M
¥1.01 / ¥2.02输入/输出
58
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
84.4
24.8K
1M
¥1.01 / ¥2.02输入/输出
59
Ggemma-4-31b
gemma-4-31bGoogle
84.1
5.9K
262K
¥1.01 / ¥2.88输入/输出
59
Zglm-5
glm-5Zai
84.1
22.8K
205K
¥7.2 / ¥23输入/输出
59
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
84.1
25.7K
200K
¥108 / ¥540输入/输出
59
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
84.1
11.8K
131K
¥2.07 / ¥3.1输入/输出
59
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.1
4K
128K
¥6.05 / ¥24.3输入/输出
59
Zglm-4.5
glm-4.5Zai
84.1
24.3K
131K
¥4.32 / ¥15.8输入/输出
60
MImimo-v2.5
mimo-v2.5Xiaomi
83.8
23.4K
1.05M
¥0 / ¥0输入/输出
60
MImimo-v2-omni
mimo-v2-omniXiaomi
83.8
9.1K
262K
¥0 / ¥0输入/输出
60
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
83.8
34.3K
400K
¥1.44 / ¥9输入/输出
60
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
83.8
24.3K
1M
¥1.01 / ¥2.02输入/输出
60
MAmistral-medium-2508
mistral-medium-2508Mistral
83.8
66.8K
262K
¥2.88 / ¥14.4输入/输出
60
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
83.8
82.5K
128K
¥18 / ¥72输入/输出
61
Mminimax-m2.5
minimax-m2.5Minimax
83.6
40.6K
205K
¥0 / ¥0输入/输出
61
MImimo-v2.5
mimo-v2.5Xiaomi
83.6
23.4K
1.05M
¥0 / ¥0输入/输出
61
MImimo-v2.5
mimo-v2.5Xiaomi
83.6
23.4K
1.05M
¥0 / ¥0输入/输出
61
Ddeepseek-v3.2
deepseek-v3.2Deepseek
83.6
46.3K
128K
¥4.46 / ¥13.3输入/输出
61
Ddeepseek-v3.2
deepseek-v3.2Deepseek
83.6
46.3K
128K
¥4.46 / ¥13.3输入/输出
61
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
83.6
18.5K
164K
¥3.6 / ¥15.5输入/输出
62
Mminimax-m1
minimax-m1Minimax
83.3
2.5K
1M
¥3.96 / ¥15.8输入/输出
62
Mkimi-k2.6
kimi-k2.6Moonshot
83.3
22.2K
262K
¥6.84 / ¥28.8输入/输出
62
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
83.3
24.3K
1M
¥1.01 / ¥2.02输入/输出
62
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
83.3
41K
200K
¥108 / ¥540输入/输出
62
MImimo-v2.5
mimo-v2.5Xiaomi
83.3
23.4K
1.05M
¥0 / ¥0输入/输出
62
MImimo-v2.5
mimo-v2.5Xiaomi
83.3
23.8K
1.05M
¥0 / ¥0输入/输出
63
MAmistral-medium-3.5
mistral-medium-3.5Mistral
83.0
9.3K
262K
¥10.8 / ¥54输入/输出
63
Ogpt-5-mini-high
gpt-5-mini-highOpenai
83.0
6.8K
400K
¥1.8 / ¥14.4输入/输出
63
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
83.0
40.2K
128K
¥4.46 / ¥13.3输入/输出
63
Aqwen3.6-plus
qwen3.6-plusAlibaba
83.0
25.5K
1M
¥3.6 / ¥21.6输入/输出
63
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
83.0
27.8K
-
-
63
MAmistral-medium-2508
mistral-medium-2508Mistral
83.0
93.9K
262K
¥2.88 / ¥14.4输入/输出
64
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
82.7
10.9K
262K
¥0.72 / ¥2.16输入/输出
64
MAmistral-medium-3.5
mistral-medium-3.5Mistral
82.7
9.3K
262K
¥10.8 / ¥54输入/输出
64
Ogpt-5-chat
gpt-5-chatOpenai
82.7
7.7K
400K
¥9 / ¥72输入/输出
64
MImimo-v2.5
mimo-v2.5Xiaomi
82.7
23.4K
1.05M
¥0 / ¥0输入/输出
64
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
82.7
11.8K
131K
¥2.07 / ¥3.1输入/输出
64
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
82.7
28.1K
-
-
65
Xgrok-4-0709
grok-4-0709Xai
82.5
10.6K
256K
¥21.6 / ¥108输入/输出
65
MImimo-v2-pro
mimo-v2-proXiaomi
82.5
24.3K
1.05M
¥0 / ¥0输入/输出
65
MImimo-v2-omni
mimo-v2-omniXiaomi
82.5
9.1K
262K
¥0 / ¥0输入/输出
65
MAmistral-large-3
mistral-large-3Mistral
82.5
42.6K
262K
¥3.6 / ¥10.8输入/输出
65
Ogpt-5.1
gpt-5.1Openai
82.5
42.6K
128K
¥9 / ¥72输入/输出
65
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
82.5
32.9K
128K
¥0 / ¥0输入/输出
66
CO
command-a-03-2025
command-a-03-2025Cohere
82.2
7.6K
256K
¥18 / ¥72输入/输出
66
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
82.2
5.2K
246K
¥9.5 / ¥56.9输入/输出
66
Ogpt-5-high
gpt-5-highOpenai
82.2
6.9K
400K
¥9 / ¥72输入/输出
66
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
82.2
25.7K
200K
¥108 / ¥540输入/输出
66
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
82.2
24.2K
1M
¥1.01 / ¥2.02输入/输出
66
Ddeepseek-v3.2
deepseek-v3.2Deepseek
82.2
47.2K
128K
¥4.46 / ¥13.3输入/输出
67
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
81.9
80.3K
200K
¥7.2 / ¥36输入/输出
67
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
81.9
24.3K
1M
¥1.01 / ¥2.02输入/输出
67
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
81.9
23.2K
1M
¥2.16 / ¥18输入/输出
67
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
81.9
40.2K
128K
¥4.46 / ¥13.3输入/输出
67
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
81.9
3.5K
-
-
67
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
81.9
9.1K
131K
¥2.07 / ¥3.1输入/输出
68
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
81.6
39.2K
262K
¥3.1 / ¥18.6输入/输出
68
Zglm-4.7
glm-4.7Zai
81.6
11.7K
205K
¥4.32 / ¥15.8输入/输出
68
Xgrok-4.3
grok-4.3Xai
81.6
24K
1M
¥9 / ¥18输入/输出
68
MImimo-v2-omni
mimo-v2-omniXiaomi
81.6
9.1K
262K
¥0 / ¥0输入/输出
68
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
81.6
65K
131K
¥2.07 / ¥8.26输入/输出
68
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
81.6
11.9K
131K
¥2.07 / ¥3.1输入/输出
69
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
81.4
22.9K
1.05M
¥0 / ¥0输入/输出
69
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
81.4
23.2K
1M
¥3.13 / ¥6.26输入/输出
69
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.4
9.3K
262K
¥10.8 / ¥54输入/输出
69
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
81.4
44K
1.05M
¥1.8 / ¥10.8输入/输出
69
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.4
9.3K
262K
¥10.8 / ¥54输入/输出
69
Ogpt-5.1
gpt-5.1Openai
81.4
43.5K
128K
¥9 / ¥72输入/输出
70
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
81.1
24.3K
1M
¥1.01 / ¥2.02输入/输出
70
UNtrinity-large-preview
-
81.1
29.6K
131K
¥1.8 / ¥7.2输入/输出
70
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
81.1
43.8K
262K
¥4.32 / ¥21.6输入/输出
70
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.1
9.3K
262K
¥10.8 / ¥54输入/输出
70
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
81.1
40.2K
128K
¥4.46 / ¥13.3输入/输出
70
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.1
9.5K
262K
¥10.8 / ¥54输入/输出
71
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
80.8
28.4K
1M
¥36 / ¥180输入/输出
71
Xgrok-4-0709
grok-4-0709Xai
80.8
10.6K
256K
¥21.6 / ¥108输入/输出
71
Mminimax-m3
minimax-m3Minimax
80.8
7.6K
512K
¥0 / ¥0输入/输出
71
Xgrok-4.1-thinking
grok-4.1-thinkingXai
80.8
64.4K
200K
¥14.4 / ¥72输入/输出
71
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.8
8.1K
262K
¥4.32 / ¥18输入/输出
71
Mlongcat-flash-chat
longcat-flash-chatMeituan
80.8
11.4K
-
-
72
UNtrinity-large-thinking
-
80.5
28.8K
131K
¥1.8 / ¥7.2输入/输出
72
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
80.5
16.7K
205K
¥0 / ¥0输入/输出
72
Bernie-5.0-0110
ernie-5.0-0110Baidu
80.5
34.6K
128K
¥6.05 / ¥24.3输入/输出
72
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
80.5
65K
131K
¥2.07 / ¥8.26输入/输出
72
Ogpt-5.5-instant
gpt-5.5-instantOpenai
80.5
25.9K
400K
¥36 / ¥216输入/输出
72
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
80.5
24.6K
1M
¥1.01 / ¥2.02输入/输出
73
MImimo-v2-pro
mimo-v2-proXiaomi
80.3
24.3K
1.05M
¥0 / ¥0输入/输出
73
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
80.3
80.3K
200K
¥7.2 / ¥36输入/输出
73
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
80.3
65K
131K
¥2.07 / ¥8.26输入/输出
73
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
80.3
24.2K
1M
¥1.01 / ¥2.02输入/输出
73
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
80.3
41K
200K
¥108 / ¥540输入/输出
73
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
80.3
11.5K
131K
¥2.06 / ¥8.26输入/输出
74
Zglm-5
glm-5Zai
80.0
22.8K
205K
¥7.2 / ¥23输入/输出
74
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
80.0
65K
131K
¥2.07 / ¥8.26输入/输出
74
MAmistral-large-3
mistral-large-3Mistral
80.0
42.6K
262K
¥3.6 / ¥10.8输入/输出
74
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
80.0
3.5K
1M
¥3.6 / ¥18输入/输出
74
MImimo-v2-omni
mimo-v2-omniXiaomi
80.0
9.1K
262K
¥0 / ¥0输入/输出
74
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.0
8.2K
262K
¥4.32 / ¥18输入/输出
75
Mminimax-m2.7
minimax-m2.7Minimax
79.7
31K
205K
¥0 / ¥0输入/输出
75
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
79.7
37.3K
1.05M
¥2.16 / ¥18输入/输出
75
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
79.7
28.1K
262K
¥2.88 / ¥23输入/输出
75
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
79.7
8.1K
262K
¥4.32 / ¥18输入/输出
75
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
79.7
25.7K
200K
¥108 / ¥540输入/输出
75
MImimo-v2-omni
mimo-v2-omniXiaomi
79.7
9.3K
262K
¥0 / ¥0输入/输出
76
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
79.5
65K
131K
¥2.07 / ¥8.26输入/输出
76
Aqwen3-max-preview
qwen3-max-previewAlibaba
79.5
7.5K
262K
¥6.2 / ¥24.8输入/输出
76
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
79.5
10.9K
262K
¥0.72 / ¥2.16输入/输出
76
MAmistral-medium-2508
mistral-medium-2508Mistral
79.5
66.8K
262K
¥2.88 / ¥14.4输入/输出
76
Ggemini-2.5-flash
gemini-2.5-flashGoogle
79.5
68.5K
1.05M
¥2.16 / ¥18输入/输出
76
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
79.5
3.5K
131K
¥1.94 / ¥7.2输入/输出
77
Zglm-4.7
glm-4.7Zai
79.2
11.7K
205K
¥4.32 / ¥15.8输入/输出
77
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
79.2
28.1K
262K
¥2.88 / ¥23输入/输出
77
Mminimax-m2.7
minimax-m2.7Minimax
79.2
31K
205K
¥0 / ¥0输入/输出
77
Xgrok-4.1
grok-4.1Xai
79.2
66.6K
200K
¥14.4 / ¥72输入/输出
77
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
79.2
24.9K
-
-
77
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
79.2
3.7K
-
-
78
Zglm-4.6v
glm-4.6vZai
78.9
2.5K
128K
¥2.16 / ¥6.48输入/输出
78
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
78.9
24.2K
1M
¥1.01 / ¥2.02输入/输出
78
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
78.9
24.2K
1M
¥1.01 / ¥2.02输入/输出
78
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
78.9
28.1K
262K
¥2.88 / ¥23输入/输出
78
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
78.9
28.1K
262K
¥2.88 / ¥23输入/输出
78
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
78.9
41K
128K
¥4.46 / ¥13.3输入/输出
79
Mkimi-k2.6
kimi-k2.6Moonshot
78.6
22.2K
262K
¥6.84 / ¥28.8输入/输出
79
Aqwen3.6-plus
qwen3.6-plusAlibaba
78.6
25.5K
1M
¥3.6 / ¥21.6输入/输出
79
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
78.6
23.2K
1M
¥2.16 / ¥18输入/输出
79
MAmistral-large-3
mistral-large-3Mistral
78.6
42.6K
262K
¥3.6 / ¥10.8输入/输出
79
Ogpt-5.2-high
gpt-5.2-highOpenai
78.6
47.3K
400K
¥12.6 / ¥101输入/输出
79
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
78.6
97.1K
131K
¥2.07 / ¥8.26输入/输出
80
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
78.4
28.1K
262K
¥2.88 / ¥23输入/输出
80
Xgrok-4-0709
grok-4-0709Xai
78.4
10.6K
256K
¥21.6 / ¥108输入/输出
80
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
78.4
8.1K
262K
¥4.32 / ¥18输入/输出
80
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
78.4
27.8K
-
-
80
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
78.4
44K
1.05M
¥1.8 / ¥10.8输入/输出
80
Ddeepseek-v3.1
deepseek-v3.1Deepseek
78.4
15K
131K
¥4.13 / ¥12.4输入/输出
81
Aqwen3.5-flash
qwen3.5-flashAlibaba
78.1
37.1K
1M
¥1.24 / ¥12.4输入/输出
81
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
78.1
8.1K
262K
¥4.32 / ¥18输入/输出
81
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
78.1
10.8K
2M
¥1.44 / ¥3.6输入/输出
81
Ogpt-5-high
gpt-5-highOpenai
78.1
6.9K
400K
¥9 / ¥72输入/输出
81
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
78.1
7.6K
131K
¥1.04 / ¥4.13输入/输出
81
Ogpt-5.5-instant
gpt-5.5-instantOpenai
78.1
26.2K
400K
¥36 / ¥216输入/输出
82
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
77.8
10.8K
2M
¥1.44 / ¥3.6输入/输出
82
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
77.8
7.8K
8.19K
¥216 / ¥432输入/输出
82
Bernie-5.1
ernie-5.1Baidu
77.8
21.5K
119K
¥5.4 / ¥21.6输入/输出
82
Xgrok-4.3
grok-4.3Xai
77.8
24K
1M
¥9 / ¥18输入/输出
82
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
77.8
3.1K
131K
¥2.06 / ¥8.26输入/输出
82
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
77.8
22.9K
131K
¥1.04 / ¥4.13输入/输出
83
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
77.5
23.2K
1M
¥3.13 / ¥6.26输入/输出
83
Mminimax-m2.5
minimax-m2.5Minimax
77.5
40.6K
205K
¥0 / ¥0输入/输出
83
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
77.5
9.5K
128K
¥6.05 / ¥24.3输入/输出
83
Ogpt-5-chat
gpt-5-chatOpenai
77.5
7.7K
400K
¥9 / ¥72输入/输出
83
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
77.5
60.9K
262K
¥8.28 / ¥57.6输入/输出
83
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
77.5
49.8K
200K
¥108 / ¥540输入/输出
84
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
77.3
6.5K
256K
¥0 / ¥0输入/输出
84
Aqwen3.5-flash
qwen3.5-flashAlibaba
77.3
37.1K
1M
¥1.24 / ¥12.4输入/输出
84
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
77.3
80.3K
200K
¥7.2 / ¥36输入/输出
84
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
77.3
60.9K
262K
¥8.28 / ¥57.6输入/输出
84
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
77.3
35.2K
400K
¥5.4 / ¥32.4输入/输出
84
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
77.3
3.7K
131K
¥1.94 / ¥7.2输入/输出
85
Zglm-5.1
glm-5.1Zai
77.0
15.7K
200K
¥10.1 / ¥31.7输入/输出
85
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
77.0
43.8K
262K
¥4.32 / ¥21.6输入/输出
85
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
77.0
45.7K
262K
¥0.72 / ¥2.16输入/输出
85
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
77.0
3.5K
-
-
85
Ogpt-5.2
gpt-5.2Openai
77.0
54.9K
400K
¥12.6 / ¥101输入/输出
85
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
77.0
28.4K
262K
¥2.88 / ¥23输入/输出
86
Aqwen3.5-27b
qwen3.5-27bAlibaba
76.7
27K
262K
¥2.16 / ¥17.3输入/输出
86
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
76.7
45.7K
262K
¥0.72 / ¥2.16输入/输出
86
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
76.7
16.7K
205K
¥0 / ¥0输入/输出
86
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
76.7
32.6K
128K
¥12.6 / ¥101输入/输出
86
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
76.7
45.7K
262K
¥0.72 / ¥2.16输入/输出
86
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
76.7
77.4K
200K
¥108 / ¥540输入/输出
87
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
76.4
24.2K
1M
¥1.01 / ¥2.02输入/输出
87
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
76.4
3.4K
-
-
87
MAmistral-medium-2508
mistral-medium-2508Mistral
76.4
66.8K
262K
¥2.88 / ¥14.4输入/输出
87
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
76.4
45.7K
262K
¥0.72 / ¥2.16输入/输出
87
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
76.4
55.7K
2M
¥1.44 / ¥3.6输入/输出
87
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
76.4
14.5K
8.19K
¥216 / ¥432输入/输出
88
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
76.2
5.2K
246K
¥9.5 / ¥56.9输入/输出
88
Mminimax-m3
minimax-m3Minimax
76.2
7.6K
512K
¥0 / ¥0输入/输出
88
Mminimax-m2.7
minimax-m2.7Minimax
76.2
31K
205K
¥0 / ¥0输入/输出
88
Xgrok-4-0709
grok-4-0709Xai
76.2
10.6K
256K
¥21.6 / ¥108输入/输出
88
Aqwen3.5-27b
qwen3.5-27bAlibaba
76.2
27K
262K
¥2.16 / ¥17.3输入/输出
88
Ggemini-2.5-flash
gemini-2.5-flashGoogle
76.2
124.4K
1.05M
¥2.16 / ¥18输入/输出
89
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
75.9
45.7K
262K
¥0.72 / ¥2.16输入/输出
89
Aqwen3.5-27b
qwen3.5-27bAlibaba
75.9
27K
262K
¥2.16 / ¥17.3输入/输出
89
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.9
60.9K
262K
¥8.28 / ¥57.6输入/输出
89
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
75.9
45.9K
-
-
89
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
75.9
11.7K
131K
¥4.13 / ¥12.4输入/输出
89
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
75.9
23.2K
1M
¥2.16 / ¥18输入/输出
90
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
75.6
12.1K
200K
¥14.4 / ¥57.6输入/输出
90
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
75.6
10.8K
2M
¥1.44 / ¥3.6输入/输出
90
Bernie-5.0-0110
ernie-5.0-0110Baidu
75.6
34.6K
128K
¥6.05 / ¥24.3输入/输出
90
Aqwen3.5-27b
qwen3.5-27bAlibaba
75.6
27K
262K
¥2.16 / ¥17.3输入/输出
90
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
75.6
25.4K
-
-
90
Ogpt-5-high
gpt-5-highOpenai
75.6
6.9K
400K
¥9 / ¥72输入/输出
91
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
75.3
8.1K
262K
¥4.32 / ¥18输入/输出
91
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.3
60.9K
262K
¥8.28 / ¥57.6输入/输出
91
Aqwen3.5-27b
qwen3.5-27bAlibaba
75.3
27K
262K
¥2.16 / ¥17.3输入/输出
91
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
75.3
7.6K
131K
¥1.04 / ¥4.13输入/输出
91
Ogpt-5.2-high
gpt-5.2-highOpenai
75.3
47.9K
400K
¥12.6 / ¥101输入/输出
91
ST
step-3.5-flash
step-3.5-flashStepfun
75.3
41.1K
256K
¥0.69 / ¥2.07输入/输出
92
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
75.1
28.8K
262K
¥1.8 / ¥14.4输入/输出
92
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
75.1
6.5K
256K
¥0 / ¥0输入/输出
92
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
75.1
10.9K
262K
¥0.72 / ¥2.16输入/输出
92
Mminimax-m2.7
minimax-m2.7Minimax
75.1
31K
205K
¥0 / ¥0输入/输出
92
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
75.1
44.7K
1.05M
¥1.8 / ¥10.8输入/输出
92
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
75.1
6.5K
256K
¥0 / ¥0输入/输出
93
MAmistral-large-3
mistral-large-3Mistral
74.8
42.6K
262K
¥3.6 / ¥10.8输入/输出
93
Aqwen3.6-plus
qwen3.6-plusAlibaba
74.8
25.5K
1M
¥3.6 / ¥21.6输入/输出
93
Aqwen3.5-flash
qwen3.5-flashAlibaba
74.8
37.1K
1M
¥1.24 / ¥12.4输入/输出
93
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.8
10.8K
2M
¥1.44 / ¥3.6输入/输出
93
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
74.8
62K
262K
¥8.28 / ¥57.6输入/输出
93
Xgrok-4.3
grok-4.3Xai
74.8
24K
1M
¥9 / ¥18输入/输出
94
IB
granite-4.1-8b
granite-4.1-8bIbm
74.5
4K
131K
¥0.36 / ¥0.72输入/输出
94
MAmistral-medium-2508
mistral-medium-2508Mistral
74.5
66.8K
262K
¥2.88 / ¥14.4输入/输出
94
Xgrok-4.1-thinking
grok-4.1-thinkingXai
74.5
64.4K
200K
¥14.4 / ¥72输入/输出
94
STstep-3.5-flash
step-3.5-flashStepfun
74.5
41.1K
256K
¥0.69 / ¥2.07输入/输出
94
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
74.5
9K
131K
¥2.07 / ¥8.26输入/输出
94
Ogpt-5-chat
gpt-5-chatOpenai
74.5
7.7K
400K
¥9 / ¥72输入/输出
95
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
74.2
60.9K
262K
¥8.28 / ¥57.6输入/输出
95
STstep-3.5-flash
step-3.5-flashStepfun
74.2
41.1K
256K
¥0.69 / ¥2.07输入/输出
95
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
74.2
27.8K
-
-
95
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
74.2
6.5K
256K
¥0 / ¥0输入/输出
95
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
74.2
9.2K
262K
¥6.2 / ¥24.8输入/输出
95
Xgrok-4-0709
grok-4-0709Xai
74.2
10.6K
256K
¥21.6 / ¥108输入/输出
96
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
74.0
1.4K
262K
¥4.32 / ¥18输入/输出
96
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
74.0
28.8K
262K
¥1.8 / ¥14.4输入/输出
96
STstep-3.5-flash
step-3.5-flashStepfun
74.0
41.1K
256K
¥0.69 / ¥2.07输入/输出
96
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
74.0
80.3K
200K
¥7.2 / ¥36输入/输出
96
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
74.0
35.7K
400K
¥5.4 / ¥32.4输入/输出
96
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.0
10.8K
2M
¥1.44 / ¥3.6输入/输出
97
STstep-3.5-flash
step-3.5-flashStepfun
73.7
41.1K
256K
¥0.69 / ¥2.07输入/输出
97
UNtrinity-large-thinking
-
73.7
28.8K
131K
¥1.8 / ¥7.2输入/输出
97
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
73.7
6.5K
256K
¥0 / ¥0输入/输出
97
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
73.7
24.9K
-
-
97
Mminimax-m2.7
minimax-m2.7Minimax
73.7
31K
205K
¥0 / ¥0输入/输出
97
Ogpt-5.2
gpt-5.2Openai
73.7
55.8K
400K
¥12.6 / ¥101输入/输出
98
UNintellect-3
-
73.4
5K
128K
¥1.58 / ¥8.65输入/输出
98
Aqwen3-max-preview
qwen3-max-previewAlibaba
73.4
7.5K
262K
¥6.2 / ¥24.8输入/输出
98
Ogpt-5-mini-high
gpt-5-mini-highOpenai
73.4
6.8K
400K
¥1.8 / ¥14.4输入/输出
98
Aqwen3.5-flash
qwen3.5-flashAlibaba
73.4
37.1K
1M
¥1.24 / ¥12.4输入/输出
98
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
73.4
46.6K
262K
¥0.72 / ¥2.16输入/输出
98
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
73.4
3.4K
-
-
99
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
73.2
3.5K
262K
¥6.2 / ¥24.8输入/输出
99
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
73.2
3.5K
262K
¥6.2 / ¥24.8输入/输出
99
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
73.2
3.5K
262K
¥6.2 / ¥24.8输入/输出
99
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
73.2
34.3K
400K
¥1.44 / ¥9输入/输出
99
Xgrok-4-0709
grok-4-0709Xai
73.2
41.4K
256K
¥21.6 / ¥108输入/输出
99
Aqwen3.5-flash
qwen3.5-flashAlibaba
73.2
37.1K
1M
¥1.24 / ¥12.4输入/输出
100
Zglm-4.5-air
glm-4.5-airZai
72.9
7.2K
131K
¥1.44 / ¥7.92输入/输出
100
Ggemma-3-27b-it
gemma-3-27b-itGoogle
72.9
2.4K
110K
¥0.72 / ¥2.16输入/输出
100
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
72.9
3.5K
-
-
100
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
72.9
16.7K
205K
¥0 / ¥0输入/输出
100
Oo3-2025-04-16
o3-2025-04-16Openai
72.9
59.8K
200K
¥14.4 / ¥57.6输入/输出
100
Oo3-2025-04-16
o3-2025-04-16Openai
72.9
7.6K
200K
¥14.4 / ¥57.6输入/输出
101
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
72.6
43.8K
262K
¥4.32 / ¥21.6输入/输出
101
Mmuse-spark
muse-sparkMeta
72.6
13.4K
-
-
101
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
72.6
28.8K
262K
¥1.8 / ¥14.4输入/输出
101
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
72.6
10.9K
262K
¥0.72 / ¥2.16输入/输出
101
Xgrok-4-fast-chat
grok-4-fast-chatXai
72.6
6.8K
2M
¥1.44 / ¥3.6输入/输出
101
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
72.6
11.1K
-
-
102
Mminimax-m3
minimax-m3Minimax
72.3
7.6K
512K
¥0 / ¥0输入/输出
102
Zglm-4.6v
glm-4.6vZai
72.3
2.5K
128K
¥2.16 / ¥6.48输入/输出
102
Xgrok-4.1
grok-4.1Xai
72.3
66.6K
200K
¥14.4 / ¥72输入/输出
102
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
72.3
55.7K
2M
¥1.44 / ¥3.6输入/输出
102
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
72.3
56.7K
2M
¥1.44 / ¥3.6输入/输出
102
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
72.3
28.8K
262K
¥1.8 / ¥14.4输入/输出
103
MAmistral-medium-2508
mistral-medium-2508Mistral
72.1
66.8K
262K
¥2.88 / ¥14.4输入/输出
103
COcommand-a-03-2025
command-a-03-2025Cohere
72.1
7.6K
256K
¥18 / ¥72输入/输出
103
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
72.1
3.5K
1M
¥3.6 / ¥18输入/输出
103
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
72.1
3.1K
131K
¥2.06 / ¥8.26输入/输出
103
Aqwen3.5-27b
qwen3.5-27bAlibaba
72.1
27.3K
262K
¥2.16 / ¥17.3输入/输出
103
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
72.1
10.9K
262K
¥0.72 / ¥2.16输入/输出
104
Aqwen3.6-plus
qwen3.6-plusAlibaba
71.8
25.5K
1M
¥3.6 / ¥21.6输入/输出
104
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
71.8
1.4K
262K
¥4.32 / ¥18输入/输出
104
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
71.8
37.3K
1.05M
¥2.16 / ¥18输入/输出
104
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
71.8
7.6K
131K
¥1.04 / ¥4.13输入/输出
104
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
71.8
32.9K
1M
¥2.16 / ¥18输入/输出
104
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
71.8
80.3K
200K
¥7.2 / ¥36输入/输出
105
Zglm-4.7-flash
glm-4.7-flashZai
71.5
11.6K
200K
¥0 / ¥0输入/输出
105
Mminimax-m1
minimax-m1Minimax
71.5
2.5K
1M
¥3.96 / ¥15.8输入/输出
105
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.5
7.8K
8.19K
¥216 / ¥432输入/输出
105
Mminimax-m2.5
minimax-m2.5Minimax
71.5
40.6K
205K
¥0 / ¥0输入/输出
105
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
71.5
2.2K
-
-
105
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
71.5
16.7K
205K
¥0 / ¥0输入/输出
106
Bernie-5.1
ernie-5.1Baidu
71.2
21.5K
119K
¥5.4 / ¥21.6输入/输出
106
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
71.2
27.8K
-
-
106
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
71.2
28.8K
262K
¥1.8 / ¥14.4输入/输出
106
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
71.2
1.4K
262K
¥4.32 / ¥18输入/输出
106
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.2
6.6K
256K
¥0 / ¥0输入/输出
106
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
71.2
32.6K
128K
¥12.6 / ¥101输入/输出
107
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
71.0
2.7K
200K
¥7.92 / ¥31.7输入/输出
107
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
71.0
9.5K
128K
¥6.05 / ¥24.3输入/输出
107
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
71.0
55.7K
2M
¥1.44 / ¥3.6输入/输出
107
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
71.0
3.4K
-
-
107
Ogpt-5-high
gpt-5-highOpenai
71.0
31.9K
400K
¥9 / ¥72输入/输出
107
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.0
7.8K
8.19K
¥216 / ¥432输入/输出
108
Zglm-4.5-air
glm-4.5-airZai
70.7
7.2K
131K
¥1.44 / ¥7.92输入/输出
108
Bernie-5.0-0110
ernie-5.0-0110Baidu
70.7
34.6K
128K
¥6.05 / ¥24.3输入/输出
108
UNtrinity-large-preview
-
70.7
29.6K
131K
¥1.8 / ¥7.2输入/输出
108
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
70.7
3.5K
262K
¥6.2 / ¥24.8输入/输出
108
STstep-3.5-flash
step-3.5-flashStepfun
70.7
41.8K
256K
¥0.69 / ¥2.07输入/输出
108
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
70.7
1.4K
262K
¥4.32 / ¥18输入/输出
109
Xgrok-4.1-thinking
grok-4.1-thinkingXai
70.4
64.4K
200K
¥14.4 / ¥72输入/输出
109
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
70.4
27.8K
-
-
109
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
70.4
3.1K
131K
¥2.06 / ¥8.26输入/输出
109
Oo3-2025-04-16
o3-2025-04-16Openai
70.4
7.6K
200K
¥14.4 / ¥57.6输入/输出
109
Xgrok-4.3
grok-4.3Xai
70.4
24.4K
1M
¥9 / ¥18输入/输出
109
Zglm-4.5-air
glm-4.5-airZai
70.4
7.2K
131K
¥1.44 / ¥7.92输入/输出
110
IA
mercury-2
mercury-2Inception Ai
70.1
3.1K
128K
¥1.8 / ¥5.4输入/输出
110
Zglm-4.5-air
glm-4.5-airZai
70.1
7.2K
131K
¥1.44 / ¥7.92输入/输出
110
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
70.1
3.5K
-
-
110
Ogpt-5-chat
gpt-5-chatOpenai
70.1
31.6K
400K
¥9 / ¥72输入/输出
110
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
70.1
1.4K
262K
¥4.32 / ¥18输入/输出
110
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
70.1
37.3K
1.05M
¥2.16 / ¥18输入/输出
111
Mminimax-m2
minimax-m2Minimax
69.9
6.7K
197K
¥0 / ¥0输入/输出
111
Mminimax-m2.7
minimax-m2.7Minimax
69.9
31.4K
205K
¥0 / ¥0输入/输出
111
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
69.9
3.4K
-
-
111
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
69.9
55.7K
2M
¥1.44 / ¥3.6输入/输出
111
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
69.9
11.1K
-
-
111
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
69.9
7.5K
256K
¥1.08 / ¥4.68输入/输出
112
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
69.6
3.4K
-
-
112
Zglm-4.6v
glm-4.6vZai
69.6
2.5K
128K
¥2.16 / ¥6.48输入/输出
112
UNintellect-3
-
69.6
5K
128K
¥1.58 / ¥8.65输入/输出
112
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
69.6
7.9K
131K
¥2.06 / ¥8.26输入/输出
112
Ogpt-5-mini-high
gpt-5-mini-highOpenai
69.6
6.8K
400K
¥1.8 / ¥14.4输入/输出
112
Ogpt-oss-120b
gpt-oss-120bOpenai
69.6
7.4K
128K
¥7.2 / ¥30.2输入/输出
113
Anova-2-lite
nova-2-liteAmazon
69.3
11.8K
128K
¥2.38 / ¥19.8输入/输出
113
Oo3-2025-04-16
o3-2025-04-16Openai
69.3
7.6K
200K
¥14.4 / ¥57.6输入/输出
113
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
69.3
7.6K
131K
¥1.04 / ¥4.13输入/输出
113
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
69.3
4.7K
131K
¥0 / ¥0输入/输出
113
Zglm-4.5-air
glm-4.5-airZai
69.3
7.2K
131K
¥1.44 / ¥7.92输入/输出
113
Zglm-4.6v
glm-4.6vZai
69.3
2.5K
128K
¥2.16 / ¥6.48输入/输出
114
Aqwen3-max-preview
qwen3-max-previewAlibaba
69.0
7.5K
262K
¥6.2 / ¥24.8输入/输出
114
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
69.0
3.1K
131K
¥2.06 / ¥8.26输入/输出
114
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
69.0
24.9K
-
-
114
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
69.0
3.4K
-
-
114
Zglm-4.6v
glm-4.6vZai
69.0
2.5K
128K
¥2.16 / ¥6.48输入/输出
114
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
69.0
34.3K
400K
¥1.44 / ¥9输入/输出
115
IAmercury
mercuryInception Ai
68.8
1.9K
128K
¥1.8 / ¥5.4输入/输出
115
Xgrok-4.1
grok-4.1Xai
68.8
66.6K
200K
¥14.4 / ¥72输入/输出
115
Ggemma-3-27b-it
gemma-3-27b-itGoogle
68.8
2.4K
110K
¥0.72 / ¥2.16输入/输出
115
Aqwen3.5-flash
qwen3.5-flashAlibaba
68.8
37.6K
1M
¥1.24 / ¥12.4输入/输出
115
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
68.8
7.5K
256K
¥1.08 / ¥4.68输入/输出
115
Ogpt-5-mini-high
gpt-5-mini-highOpenai
68.8
6.8K
400K
¥1.8 / ¥14.4输入/输出
116
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
68.5
12.1K
200K
¥14.4 / ¥57.6输入/输出
116
Xgrok-4.1-thinking
grok-4.1-thinkingXai
68.5
64.4K
200K
¥14.4 / ¥72输入/输出
116
UNtrinity-large-thinking
-
68.5
28.8K
131K
¥1.8 / ¥7.2输入/输出
116
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
68.5
18.7K
2M
¥1.44 / ¥3.6输入/输出
116
Mminimax-m2.5
minimax-m2.5Minimax
68.5
40.6K
205K
¥0 / ¥0输入/输出
116
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
68.5
3.5K
262K
¥6.2 / ¥24.8输入/输出
117
Zglm-4.7-flash
glm-4.7-flashZai
68.2
11.6K
200K
¥0 / ¥0输入/输出
117
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
68.2
9.5K
128K
¥6.05 / ¥24.3输入/输出
117
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
68.2
29.1K
262K
¥1.8 / ¥14.4输入/输出
117
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
68.2
11.1K
-
-
117
Ogpt-oss-120b
gpt-oss-120bOpenai
68.2
7.4K
128K
¥7.2 / ¥30.2输入/输出
117
Anova-2-lite
nova-2-liteAmazon
68.2
11.8K
128K
¥2.38 / ¥19.8输入/输出
118
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
67.9
3.4K
-
-
118
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.9
7.5K
256K
¥1.08 / ¥4.68输入/输出
118
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
67.9
11K
262K
¥0.72 / ¥2.16输入/输出
118
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.9
7.5K
256K
¥1.08 / ¥4.68输入/输出
118
Ggemma-3-27b-it
gemma-3-27b-itGoogle
67.9
2.4K
110K
¥0.72 / ¥2.16输入/输出
118
Ggemma-3-27b-it
gemma-3-27b-itGoogle
67.9
2.4K
110K
¥0.72 / ¥2.16输入/输出
119
Oo3-2025-04-16
o3-2025-04-16Openai
67.7
7.6K
200K
¥14.4 / ¥57.6输入/输出
119
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
67.7
55.7K
2M
¥1.44 / ¥3.6输入/输出
119
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
67.7
11.5K
-
-
119
Mminimax-m1
minimax-m1Minimax
67.7
2.5K
1M
¥3.96 / ¥15.8输入/输出
119
Anova-2-lite
nova-2-liteAmazon
67.7
11.8K
128K
¥2.38 / ¥19.8输入/输出
119
Mminimax-m2.5
minimax-m2.5Minimax
67.7
40.6K
205K
¥0 / ¥0输入/输出
120
Anova-2-lite
nova-2-liteAmazon
67.4
11.8K
128K
¥2.38 / ¥19.8输入/输出
120
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
67.4
3.1K
131K
¥2.06 / ¥8.26输入/输出
120
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
67.4
38.2K
131K
¥2.07 / ¥8.26输入/输出
120
COcommand-a-03-2025
command-a-03-2025Cohere
67.4
7.6K
256K
¥18 / ¥72输入/输出
120
UNtrinity-large-preview
-
67.4
29.6K
131K
¥1.8 / ¥7.2输入/输出
120
IAmercury-2
mercury-2Inception Ai
67.4
3.1K
128K
¥1.8 / ¥5.4输入/输出
121
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
67.1
2.7K
200K
¥7.92 / ¥31.7输入/输出
121
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
67.1
3.4K
-
-
121
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
67.1
87.4K
200K
¥7.2 / ¥36输入/输出
121
Anova-2-lite
nova-2-liteAmazon
67.1
11.8K
128K
¥2.38 / ¥19.8输入/输出
121
UNtrinity-large-thinking
-
67.1
28.8K
131K
¥1.8 / ¥7.2输入/输出
121
UNintellect-3
-
67.1
5K
128K
¥1.58 / ¥8.65输入/输出
122
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
66.8
3.5K
1M
¥3.6 / ¥18输入/输出
122
Oo3-2025-04-16
o3-2025-04-16Openai
66.8
7.6K
200K
¥14.4 / ¥57.6输入/输出
122
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
66.8
17.1K
205K
¥0 / ¥0输入/输出
122
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
66.8
45.9K
-
-
122
UNintellect-3
-
66.8
5K
128K
¥1.58 / ¥8.65输入/输出
122
Zglm-4.7-flash
glm-4.7-flashZai
66.8
11.6K
200K
¥0 / ¥0输入/输出
123
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
66.6
7.5K
256K
¥1.08 / ¥4.68输入/输出
123
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
66.6
3.5K
-
-
123
Ogpt-oss-120b
gpt-oss-120bOpenai
66.6
7.4K
128K
¥7.2 / ¥30.2输入/输出
123
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
66.6
33K
128K
¥12.6 / ¥101输入/输出
123
Zglm-4.7-flash
glm-4.7-flashZai
66.6
11.6K
200K
¥0 / ¥0输入/输出
123
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
66.6
2.7K
200K
¥7.92 / ¥31.7输入/输出
124
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
66.3
8.3K
200K
¥14.4 / ¥57.6输入/输出
124
IAmercury-2
mercury-2Inception Ai
66.3
3.1K
128K
¥1.8 / ¥5.4输入/输出
124
UNintellect-3
-
66.3
5K
128K
¥1.58 / ¥8.65输入/输出
124
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
66.3
23.7K
128K
¥0.72 / ¥2.16输入/输出
124
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
66.3
2.7K
200K
¥7.92 / ¥31.7输入/输出
124
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
66.3
15.2K
131K
¥0 / ¥0输入/输出
125
Mminimax-m2
minimax-m2Minimax
66.0
6.7K
197K
¥0 / ¥0输入/输出
125
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
66.0
7.6K
131K
¥1.04 / ¥4.13输入/输出
125
Zglm-4.7-flash
glm-4.7-flashZai
66.0
11.6K
200K
¥0 / ¥0输入/输出
125
Zglm-4.5-air
glm-4.5-airZai
66.0
31.1K
131K
¥1.44 / ¥7.92输入/输出
125
Mminimax-m1
minimax-m1Minimax
66.0
2.5K
1M
¥3.96 / ¥15.8输入/输出
125
Mminimax-m1
minimax-m1Minimax
66.0
2.5K
1M
¥3.96 / ¥15.8输入/输出
126
Xgrok-4.1
grok-4.1Xai
65.8
66.6K
200K
¥14.4 / ¥72输入/输出
126
Ogpt-oss-120b
gpt-oss-120bOpenai
65.8
7.4K
128K
¥7.2 / ¥30.2输入/输出
126
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
65.8
2.7K
200K
¥7.92 / ¥31.7输入/输出
126
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
65.8
51K
8.19K
¥216 / ¥432输入/输出
126
IAmercury-2
mercury-2Inception Ai
65.8
3.1K
128K
¥1.8 / ¥5.4输入/输出
126
Mminimax-m2
minimax-m2Minimax
65.8
6.7K
197K
¥0 / ¥0输入/输出
127
Ogpt-oss-120b
gpt-oss-120bOpenai
65.5
7.4K
128K
¥7.2 / ¥30.2输入/输出
127
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
65.5
11.1K
-
-
127
IAmercury-2
mercury-2Inception Ai
65.5
3.1K
128K
¥1.8 / ¥5.4输入/输出
127
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
65.5
11.8K
262K
¥4.32 / ¥18输入/输出
127
COcommand-a-03-2025
command-a-03-2025Cohere
65.5
7.6K
256K
¥18 / ¥72输入/输出
127
UNtrinity-large-thinking
-
65.5
28.8K
131K
¥1.8 / ¥7.2输入/输出
128
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
65.2
24.9K
-
-
128
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
65.2
5.8K
65.5K
¥1.08 / ¥3.6输入/输出
128
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
65.2
47.2K
1.05M
¥2.16 / ¥18输入/输出
128
Mminimax-m2
minimax-m2Minimax
65.2
6.7K
197K
¥0 / ¥0输入/输出
128
Mminimax-m2
minimax-m2Minimax
65.2
6.7K
197K
¥0 / ¥0输入/输出
128
COcommand-a-03-2025
command-a-03-2025Cohere
65.2
7.6K
256K
¥18 / ¥72输入/输出
129
Mmuse-spark
muse-sparkMeta
64.9
13.4K
-
-
129
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
64.9
7.5K
256K
¥1.08 / ¥4.68输入/输出
129
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.9
12.1K
200K
¥14.4 / ¥57.6输入/输出
129
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.9
15.2K
131K
¥0 / ¥0输入/输出
129
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.9
15.2K
131K
¥0 / ¥0输入/输出
129
UNtrinity-large-preview
-
64.9
29.6K
131K
¥1.8 / ¥7.2输入/输出
130
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
64.7
11.1K
-
-
130
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
64.7
10.7K
131K
¥0 / ¥0输入/输出
130
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.7
15.2K
131K
¥0 / ¥0输入/输出
130
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
64.7
45.9K
-
-
130
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.7
12.1K
200K
¥14.4 / ¥57.6输入/输出
130
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.7
12.1K
200K
¥14.4 / ¥57.6输入/输出
131
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
64.4
3.5K
1M
¥3.6 / ¥18输入/输出
131
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
64.4
36.9K
200K
¥108 / ¥540输入/输出
131
IBgranite-4.1-8b
granite-4.1-8bIbm
64.4
4K
131K
¥0.36 / ¥0.72输入/输出
131
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.4
5.8K
65.5K
¥1.08 / ¥3.6输入/输出
131
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.4
5.8K
65.5K
¥1.08 / ¥3.6输入/输出
131
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.4
5.8K
65.5K
¥1.08 / ¥3.6输入/输出
132
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.1
15.2K
131K
¥0 / ¥0输入/输出
132
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
64.1
45.5K
164K
¥1.94 / ¥8.06输入/输出
132
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
64.1
8.3K
200K
¥14.4 / ¥57.6输入/输出
132
IBgranite-4.1-8b
granite-4.1-8bIbm
64.1
4K
131K
¥0.36 / ¥0.72输入/输出
132
IBgranite-4.1-8b
granite-4.1-8bIbm
64.1
4K
131K
¥0.36 / ¥0.72输入/输出
132
IBgranite-4.1-8b
granite-4.1-8bIbm
64.1
4K
131K
¥0.36 / ¥0.72输入/输出
133
Zglm-4.6v
glm-4.6vZai
63.8
2.8K
128K
¥2.16 / ¥6.48输入/输出
133
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
63.8
24.9K
-
-
133
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
63.8
5.8K
65.5K
¥1.08 / ¥3.6输入/输出
133
IAmercury
mercuryInception Ai
63.8
1.9K
128K
¥1.8 / ¥5.4输入/输出
133
IAmercury
mercuryInception Ai
63.8
1.9K
128K
¥1.8 / ¥5.4输入/输出
133
IAmercury
mercuryInception Ai
63.8
1.9K
128K
¥1.8 / ¥5.4输入/输出
134
Ogpt-5-mini-high
gpt-5-mini-highOpenai
63.6
27K
400K
¥1.8 / ¥14.4输入/输出
134
IAmercury
mercuryInception Ai
63.6
1.9K
128K
¥1.8 / ¥5.4输入/输出
134
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
63.6
45.9K
-
-
134
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.6
8.3K
200K
¥14.4 / ¥57.6输入/输出
134
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.6
8.3K
200K
¥14.4 / ¥57.6输入/输出
134
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.6
8.3K
200K
¥14.4 / ¥57.6输入/输出
135
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
63.3
34.8K
400K
¥1.44 / ¥9输入/输出
136
Ddeepseek-r1
deepseek-r1Deepseek
63.0
18.5K
164K
¥5.04 / ¥18输入/输出
137
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
62.7
27.6K
131K
¥4.32 / ¥18输入/输出
138
MAmistral-medium-2505
mistral-medium-2505Mistral
62.5
33.2K
262K
¥2.88 / ¥14.4输入/输出
139
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
62.2
32.9K
1.05M
¥2.16 / ¥18输入/输出
140
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
61.9
13.7K
131K
¥1.04 / ¥10.3输入/输出
141
Xgrok-3-mini-high
grok-3-mini-highXai
61.6
17K
128K
¥0 / ¥0输入/输出
142
Aqwen2.5-max
qwen2.5-maxAlibaba
61.4
32.6K
32K
¥11.5 / ¥46输入/输出
143
Oo1-2024-12-17
o1-2024-12-17Openai
61.1
27.8K
200K
¥108 / ¥432输入/输出
144
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
60.8
26.3K
131K
¥2.07 / ¥8.26输入/输出
145
Ogpt-oss-120b
gpt-oss-120bOpenai
60.5
30.6K
128K
¥7.2 / ¥30.2输入/输出
146
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
60.3
44.2K
200K
¥108 / ¥540输入/输出
147
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
60.0
2.8K
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-
148
Anova-2-lite
nova-2-liteAmazon
59.7
12.2K
128K
¥2.38 / ¥19.8输入/输出
149
AG
ling-flash-2.0
ling-flash-2.0Ant Group
59.5
7K
131K
¥1.01 / ¥4.1输入/输出
150
Xgrok-3-mini-beta
grok-3-mini-betaXai
59.2
22.7K
128K
¥0 / ¥0输入/输出
151
Mminimax-m2.5
minimax-m2.5Minimax
58.9
41.1K
205K
¥0 / ¥0输入/输出
152
Ggemma-3-27b-it
gemma-3-27b-itGoogle
58.6
47.5K
110K
¥0.72 / ¥2.16输入/输出
153
IAmercury-2
mercury-2Inception Ai
58.4
3.1K
128K
¥1.8 / ¥5.4输入/输出
154
UNintellect-3
-
58.1
5.3K
128K
¥1.58 / ¥8.65输入/输出
155
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
57.8
25.7K
262K
¥6.2 / ¥24.8输入/输出
156
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
57.5
43.8K
1.05M
¥0.72 / ¥2.88输入/输出
157
Zglm-4.7-flash
glm-4.7-flashZai
57.3
11.7K
200K
¥0 / ¥0输入/输出
158
Oo1-preview
o1-previewOpenai
57.0
31.1K
200K
¥108 / ¥432输入/输出
159
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
56.7
45.4K
200K
¥7.92 / ¥31.7输入/输出
160
STstep-3
step-3Stepfun
56.4
6.5K
256K
¥0.69 / ¥2.07输入/输出
161
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
56.2
15.5K
131K
¥0 / ¥0输入/输出
162
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
55.9
35.1K
200K
¥21.6 / ¥108输入/输出
163
Mminimax-m1
minimax-m1Minimax
55.6
35.2K
1M
¥3.96 / ¥15.8输入/输出
164
Mminimax-m2
minimax-m2Minimax
55.3
6.9K
197K
¥0 / ¥0输入/输出
165
UNtrinity-large-thinking
-
55.1
29.2K
131K
¥1.8 / ¥7.2输入/输出
166
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
54.8
39.3K
8.19K
¥216 / ¥432输入/输出
167
Aqwen3-32b
qwen3-32bAlibaba
54.5
3.9K
131K
¥2.07 / ¥8.26输入/输出
168
MAmistral-small-2506
mistral-small-2506Mistral
54.2
17.7K
262K
¥2.88 / ¥14.4输入/输出
169
UNtrinity-large-preview
-
54.0
30K
131K
¥1.8 / ¥7.2输入/输出
170
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
53.7
40.3K
200K
¥21.6 / ¥108输入/输出
171
NVnvidia-llama-3.3-nemotron-super-49b-v1.5
nvidia-llama-3.3-nemotron-super-49b-v1.5Nvidia
53.4
3.3K
131K
¥2.88 / ¥2.88输入/输出
172
Oo3-mini-high
o3-mini-highOpenai
53.2
18.6K
200K
¥7.92 / ¥31.7输入/输出
173
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
52.9
9K
-
-
174
Ggemma-3-12b-it
gemma-3-12b-itGoogle
52.6
3.8K
128K
¥2.52 / ¥4.03输入/输出
175
Zglm-4.5v
glm-4.5vZai
52.3
5K
64K
¥4.32 / ¥13输入/输出
176
Ddeepseek-v3
deepseek-v3Deepseek
52.1
21.8K
65.5K
¥2.07 / ¥8.26输入/输出
177
AGring-flash-2.0
ring-flash-2.0Ant Group
51.8
7.1K
131K
¥1.01 / ¥4.1输入/输出
178
COcommand-a-03-2025
command-a-03-2025Cohere
51.5
56.3K
256K
¥18 / ¥72输入/输出
179
Zglm-4-plus-0111
glm-4-plus-0111Zai
51.2
5.8K
128K
¥72 / ¥72输入/输出
180
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
51.0
25K
1.05M
¥0.72 / ¥2.88输入/输出
181
Aqwq-32b
qwq-32bAlibaba
50.7
25.4K
131K
¥2.07 / ¥6.2输入/输出
182
Aqwen-plus-0125
qwen-plus-0125Alibaba
50.4
5.8K
1M
¥0.83 / ¥2.07输入/输出
183
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
50.1
4.8K
16.4K
¥37.5 / ¥118输入/输出
184
Ogpt-5-nano-high
gpt-5-nano-highOpenai
49.9
8.3K
400K
¥0.36 / ¥2.88输入/输出
185
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
49.6
2.2K
131K
¥0 / ¥0输入/输出
186
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
49.3
2.5K
128K
¥4.32 / ¥13输入/输出
187
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
49.0
55.6K
-
-
188
Oo3-mini
o3-miniOpenai
48.8
57.3K
200K
¥7.92 / ¥31.7输入/输出
189
Oo1-mini
o1-miniOpenai
48.5
52K
200K
¥108 / ¥432输入/输出
190
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
48.2
26.5K
41K
¥0.86 / ¥3.6输入/输出
191
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
47.9
38.8K
-
-
192
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
47.7
12.2K
200K
¥14.4 / ¥57.6输入/输出
193
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
47.4
2.3K
-
-
194
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
47.1
2.2K
131K
¥2.88 / ¥2.88输入/输出
195
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
46.8
22.6K
128K
¥0 / ¥0输入/输出
196
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
46.6
63.5K
1M
¥9 / ¥18输入/输出
197
UNyi-lightning
-
46.3
27.3K
12K
¥1.44 / ¥1.44输入/输出
198
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
46.0
112.9K
128K
¥36 / ¥108输入/输出
199
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
45.8
10.2K
-
-
200
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
45.5
43.2K
200K
¥21.6 / ¥108输入/输出
201
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
45.2
5.9K
65.5K
¥1.08 / ¥3.6输入/输出
202
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
44.9
88.3K
200K
¥21.6 / ¥108输入/输出
203
AImolmo-2-8b
molmo-2-8bAllenai
44.7
803
-
-
204
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
44.4
6.8K
1M
¥1.01 / ¥2.02输入/输出
205
IBgranite-4.1-8b
granite-4.1-8bIbm
44.1
4K
131K
¥0.36 / ¥0.72输入/输出
206
UNathene-v2-chat
-
43.8
24.7K
-
-
207
Ggemma-3-4b-it
gemma-3-4b-itGoogle
43.6
4.2K
128K
¥0.29 / ¥0.58输入/输出
208
Zglm-4-plus
glm-4-plusZai
43.3
26.1K
128K
¥54 / ¥54输入/输出
209
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
43.0
3.7K
-
-
210
Ogpt-oss-20b
gpt-oss-20bOpenai
42.7
10.6K
128K
¥2.88 / ¥13输入/输出
211
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
42.5
40K
1M
¥1.8 / ¥6.26输入/输出
212
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
42.2
34.9K
2M
¥0.54 / ¥2.2输入/输出
213
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
41.9
68.7K
128K
¥18 / ¥72输入/输出
214
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
41.6
6.1K
8.19K
¥216 / ¥432输入/输出
215
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
41.4
41.4K
128K
¥0 / ¥0输入/输出
216
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
41.1
7.1K
128K
¥0 / ¥0输入/输出
217
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
40.8
45.5K
128K
¥18 / ¥72输入/输出
218
IAmercury
mercuryInception Ai
40.5
2K
128K
¥1.8 / ¥5.4输入/输出
219
Aqwen-max-0919
qwen-max-0919Alibaba
40.3
16.5K
131K
¥2.48 / ¥9.91输入/输出
220
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
40.0
59.7K
128K
¥0 / ¥0输入/输出
221
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
39.7
82.4K
200K
¥21.6 / ¥108输入/输出
222
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
39.5
30.3K
131K
¥1.94 / ¥6.12输入/输出
223
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
39.2
52.6K
1M
¥9 / ¥18输入/输出
224
Ggemini-advanced-0514
gemini-advanced-0514Google
38.9
50.1K
-
-
225
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
38.6
33.2K
262K
¥2.88 / ¥14.4输入/输出
226
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
38.4
54.7K
128K
¥0 / ¥0输入/输出
227
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
38.1
3.9K
-
-
228
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
37.8
79.1K
-
-
229
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
37.5
98.1K
8.19K
¥216 / ¥432输入/输出
230
Ddeepseek-v2.5
deepseek-v2.5Deepseek
37.3
24.6K
1M
¥1.01 / ¥2.02输入/输出
231
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
37.0
8.5K
200K
¥14.4 / ¥57.6输入/输出
232
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
36.7
39.4K
131K
¥4.13 / ¥12.4输入/输出
233
MAmistral-large-2407
mistral-large-2407Mistral
36.4
45.5K
131K
¥14.4 / ¥43.2输入/输出
234
MAmistral-large-2411
mistral-large-2411Mistral
36.2
28.1K
262K
¥3.6 / ¥10.8输入/输出
235
UNathene-70b-0725
-
35.9
19.6K
-
-
236
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
35.6
100.1K
8.19K
¥216 / ¥432输入/输出
237
TEhunyuan-large-vision
hunyuan-large-visionTencent
35.3
5.4K
-
-
238
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
35.1
93.4K
8.19K
¥216 / ¥432输入/输出
239
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
34.8
194.9K
200K
¥108 / ¥540输入/输出
240
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
34.5
55.2K
128K
¥5.18 / ¥5.18输入/输出
241
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
34.2
24.7K
300K
¥5.76 / ¥23输入/输出
242
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
34.0
2.8K
-
-
243
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
33.7
70K
200K
¥5.76 / ¥28.8输入/输出
244
MAmagistral-medium-2506
magistral-medium-2506Mistral
33.4
11.6K
128K
¥14.4 / ¥36输入/输出
245
UNreka-core-20240904
-
33.2
7.3K
-
-
246
IBibm-granite-h-small
ibm-granite-h-smallIbm
32.9
5.7K
-
-
247
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
32.6
62.8K
2M
¥0.54 / ¥2.2输入/输出
248
UNjamba-1.5-large
-
32.3
8.7K
256K
¥0 / ¥0输入/输出
249
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
32.1
14.7K
262K
¥2.88 / ¥14.4输入/输出
250
Ggemma-2-27b-it
gemma-2-27b-itGoogle
31.8
75.8K
8.19K
¥0.58 / ¥0.58输入/输出
251
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
31.5
5.4K
131K
¥2.07 / ¥6.2输入/输出
252
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
31.2
9.9K
128K
¥1.08 / ¥4.32输入/输出
253
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
31.0
19.4K
300K
¥0.43 / ¥1.73输入/输出
254
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
30.7
3.7K
128K
¥0 / ¥0输入/输出
255
UNgemma-2-9b-it-simpo
-
30.4
10.1K
8.19K
¥0.58 / ¥0.58输入/输出
256
Zglm-4-0520
glm-4-0520Zai
30.1
9.8K
128K
¥108 / ¥108输入/输出
257
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
29.9
35.6K
2M
¥0.54 / ¥2.2输入/输出
258
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
29.6
19.7K
-
-
259
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
29.3
27.1K
-
-
260
Mllama-3-70b-instruct
llama-3-70b-instructMeta
29.0
156.9K
8.19K
¥3.67 / ¥5.33输入/输出
261
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
28.8
109.3K
200K
¥21.6 / ¥108输入/输出
262
UNreka-flash-20240904
-
28.5
7.5K
65.5K
¥0.72 / ¥1.44输入/输出
263
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
28.2
3.3K
-
-
264
M
phi-4
phi-4Microsoft
27.9
24.1K
128K
¥0.9 / ¥3.6输入/输出
265
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
27.7
19.4K
128K
¥0.25 / ¥1.01输入/输出
266
Ggemma-2-9b-it
gemma-2-9b-itGoogle
27.4
54.6K
-
-
267
Ogpt-4-0314
gpt-4-0314Openai
27.1
54.2K
8.19K
¥216 / ¥432输入/输出
268
COcommand-r-plus
command-r-plusCohere
26.8
77.6K
128K
¥1.08 / ¥4.32输入/输出
269
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
26.6
37.3K
131K
¥4.13 / ¥12.4输入/输出
270
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
26.3
2.7K
-
-
271
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
26.0
117.7K
200K
¥1.8 / ¥9输入/输出
272
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
25.8
2.9K
-
-
273
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
25.5
15.1K
1M
¥1.01 / ¥2.02输入/输出
274
MAministral-8b-2410
ministral-8b-2410Mistral
25.2
4.8K
128K
¥0.72 / ¥0.72输入/输出
275
COcommand-r-08-2024
command-r-08-2024Cohere
24.9
10.1K
128K
¥1.08 / ¥4.32输入/输出
276
UNjamba-1.5-mini
-
24.7
8.9K
256K
¥0 / ¥0输入/输出
277
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
24.4
49.6K
120K
¥0.36 / ¥1.8输入/输出
278
Ogpt-4-0613
gpt-4-0613Openai
24.1
88.7K
8.19K
¥216 / ¥432输入/输出
279
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
23.8
9.8K
-
-
280
MAmistral-large-2402
mistral-large-2402Mistral
23.6
62.4K
262K
¥3.6 / ¥10.8输入/输出
281
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
23.3
26.2K
-
-
282
UNyi-1.5-34b-chat
-
23.0
24.1K
-
-
283
UNreka-flash-21b-20240226-online
-
22.7
15.5K
-
-
284
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
22.5
39.3K
-
-
285
Mllama-3-8b-instruct
llama-3-8b-instructMeta
22.2
104.6K
8.19K
¥0.29 / ¥0.29输入/输出
286
MAmistral-medium
mistral-mediumMistral
21.9
34.6K
262K
¥2.88 / ¥14.4输入/输出
287
UNreka-flash-21b-20240226
-
21.6
24.8K
-
-
288
COcommand-r
command-rCohere
21.4
54K
128K
¥1.08 / ¥4.32输入/输出
289
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
21.1
51.4K
64K
¥14.4 / ¥43.2输入/输出
290
Aqwq-32b-preview
qwq-32b-previewAlibaba
20.8
3.2K
131K
¥2.07 / ¥6.2输入/输出
291
UNinternlm2_5-20b-chat
-
20.5
9.9K
-
-
292
Ggemma-2-2b-it
gemma-2-2b-itGoogle
20.3
46.6K
128K
¥0 / ¥0输入/输出
293
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
20.0
3.1K
-
-
294
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
19.7
18.4K
1.05M
¥14.4 / ¥86.4输入/输出
295
UNzephyr-orpo-141b-A35b-v0.1
-
19.5
4.7K
200K
¥108 / ¥432输入/输出
296
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
19.2
25.1K
4.1K
¥1.22 / ¥4.9输入/输出
297
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
18.9
21.7K
-
-
298
UNstarling-lm-7b-beta
-
18.6
16.1K
200K
¥5.4 / ¥18.7输入/输出
299
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
18.4
73.5K
32K
¥3.15 / ¥4.9输入/输出
300
Ggemini-pro
gemini-proGoogle
18.1
6.4K
1.05M
¥14.4 / ¥86.4输入/输出
301
UNyi-34b-chat
-
17.8
15.5K
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302
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
17.5
17.8K
-
-
303
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
17.3
3.2K
-
-
304
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
17.0
66.2K
16.4K
¥3.6 / ¥10.8输入/输出
305
UNtulu-2-dpo-70b
-
16.7
6.5K
-
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306
Mwizardlm-70b
wizardlm-70bMicrosoft
16.4
8.2K
-
-
307
UNdbrx-instruct-preview
-
16.2
32.2K
-
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308
Mllama-2-70b-chat
llama-2-70b-chatMeta
15.9
38.5K
-
-
309
UNnous-hermes-2-mixtral-8x7b-dpo
-
15.6
3.8K
32K
¥5.04 / ¥5.04输入/输出
310
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
15.3
17.8K
8.19K
¥1.08 / ¥4.32输入/输出
311
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
15.1
7.9K
128K
¥1.08 / ¥1.08输入/输出
312
UNstarling-lm-7b-alpha
-
14.8
10.2K
200K
¥5.4 / ¥18.7输入/输出
313
UNopenchat-3.5-0106
-
14.5
12.6K
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-
314
UNvicuna-33b
-
14.2
22.5K
-
-
315
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
14.0
4.9K
1M
¥1.01 / ¥2.02输入/输出
316
UNsnowflake-arctic-instruct
-
13.7
32.8K
-
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317
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
13.4
3.6K
-
-
318
UNopenchat-3.5
-
13.2
8K
-
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319
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
12.9
6.6K
-
-
320
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
12.6
16.6K
16.4K
¥3.6 / ¥10.8输入/输出
321
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
12.3
23.9K
-
-
322
UNopenhermes-2.5-mistral-7b
-
12.1
5K
256K
¥10.8 / ¥54输入/输出
323
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
11.8
19.4K
8K
¥1.8 / ¥1.8输入/输出
324
Mllama-2-13b-chat
llama-2-13b-chatMeta
11.5
19.2K
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-
325
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
11.2
4.7K
-
-
326
UNsolar-10.7b-instruct-v1.0
-
11.0
4.2K
128K
¥0 / ¥0输入/输出
327
UNdolphin-2.2.1-mistral-7b
-
10.7
1.7K
256K
¥10.8 / ¥54输入/输出
328
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
10.4
12.3K
4.1K
¥0.94 / ¥3.74输入/输出
329
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
10.1
6.8K
-
-
330
Mwizardlm-13b
wizardlm-13bMicrosoft
9.9
7K
-
-
331
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
9.6
20.1K
4.1K
¥0.94 / ¥3.74输入/输出
332
UNzephyr-7b-beta
-
9.3
11.1K
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333
UNmpt-30b-chat
-
9.0
2.6K
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334
Mcodellama-34b-instruct
codellama-34b-instructMeta
8.8
7.4K
-
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335
UNzephyr-7b-alpha
-
8.5
1.8K
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336
UNvicuna-13b
-
8.2
19.4K
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337
Mcodellama-70b-instruct
codellama-70b-instructMeta
7.9
1.1K
-
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338
Ggemma-7b-it
gemma-7b-itGoogle
7.7
8.9K
-
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339
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
7.4
8K
128K
¥0.72 / ¥0.72输入/输出
340
UNfalcon-180b-chat
-
7.1
1.3K
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341
Mllama-2-7b-chat
llama-2-7b-chatMeta
6.8
14.1K
128K
¥4.03 / ¥48输入/输出
342
UNguanaco-33b
-
6.6
2.9K
200K
¥14.4 / ¥57.6输入/输出
343
Aqwen-14b-chat
qwen-14b-chatAlibaba
6.3
5K
32.8K
¥1.04 / ¥3.1输入/输出
344
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
6.0
20.7K
128K
¥0.94 / ¥3.74输入/输出
345
UNsmollm2-1.7b-instruct
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5.8
2.2K
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346
UNstripedhyena-nous-7b
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5.5
5.2K
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347
AIolmo-7b-instruct
olmo-7b-instructAllenai
5.2
6.3K
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348
UNvicuna-7b
-
4.9
6.9K
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349
Gpalm-2
palm-2Google
4.7
8.6K
-
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350
MAmistral-7b-instruct
mistral-7b-instructMistral
4.4
9K
8K
¥1.8 / ¥1.8输入/输出
351
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.1
10.9K
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352
Ggemma-2b-it
gemma-2b-itGoogle
3.8
4.8K
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353
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.6
7.6K
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354
UNkoala-13b
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3.3
7K
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355
UNchatglm3-6b
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3.0
4.7K
200K
¥5.4 / ¥18.7输入/输出
356
UNgpt4all-13b-snoozy
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2.7
1.7K
8.19K
¥216 / ¥432输入/输出
357
UNmpt-7b-chat
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2.5
3.9K
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UNRWKV-4-Raven-14B
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2.2
4.8K
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359
UNchatglm2-6b
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1.9
2.7K
200K
¥5.4 / ¥18.7输入/输出
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UNalpaca-13b
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1.6
5.7K
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UNchatglm-6b
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1.4
4.9K
200K
¥5.4 / ¥18.7输入/输出
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UNoasst-pythia-12b
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1.1
6.3K
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UNfastchat-t5-3b
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0.8
4.2K
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UNstablelm-tuned-alpha-7b
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0.5
3.3K
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UNdolly-v2-12b
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0.3
3.4K
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366
Mllama-13b
llama-13bMeta
0.0
2.4K
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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 42.1K。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
总榜常见问题
总榜排行榜看什么指标？
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。
总榜模型应该怎么选？
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。
筛选项
筛选项
输入价格0 - 216 元/百万 token
-
输出价格0 - 540 元/百万 token
-
上下文长度4096 - 2000000 token
-
厂商
模式