1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
32.3K
1M
¥36 / ¥180输入/输出
对话 · 文本 · 排除平局排行榜
基于公开偏好评测数据展示 文本 / 排除平局 榜单，每个榜单独立排序。
排除平局模型怎么选？
排除平局排行榜用于回答“排除平局哪个 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 32.3K。 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 2026-06-10 为准。
claude-opus-4-6-thinkingclaude-opus-4-6-thinkingclaude-opus-4-6-thinkinggpt-5.4-mini-highgpt-5.4-high
1
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
32.8K
1M
¥36 / ¥180输入/输出
1
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
32.3K
1M
¥36 / ¥180输入/输出
1
O
gpt-5.4-mini-high
gpt-5.4-mini-highOpenai
100.0
27.2K
400K
¥5.4 / ¥32.4输入/输出
1
Ogpt-5.4-high
gpt-5.4-highOpenai
100.0
28.2K
1.05M
¥18 / ¥108输入/输出
1
Ogpt-5.4-high
gpt-5.4-highOpenai
100.0
28.2K
1.05M
¥18 / ¥108输入/输出
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
34.1K
1M
¥36 / ¥180输入/输出
2
Aclaude-fable-5
claude-fable-5Anthropic
99.7
2.2K
1M
¥72 / ¥360输入/输出
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.7
34.1K
1M
¥36 / ¥180输入/输出
2
Ogpt-5.4-high
gpt-5.4-highOpenai
99.7
28.2K
1.05M
¥18 / ¥108输入/输出
2
Ogpt-5.5-high
gpt-5.5-highOpenai
99.7
18.7K
1.05M
¥36 / ¥216输入/输出
2
Ogpt-5.5-high
gpt-5.5-highOpenai
99.7
18.7K
1.05M
¥36 / ¥216输入/输出
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.5
21.8K
1M
¥36 / ¥180输入/输出
3
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.5
34.6K
1M
¥36 / ¥180输入/输出
3
G
gemini-3.5-flash
gemini-3.5-flashGoogle
99.5
7.7K
1.05M
¥10.8 / ¥64.8输入/输出
3
Ogpt-5.2-high
gpt-5.2-highOpenai
99.5
35.1K
400K
¥12.6 / ¥101输入/输出
3
Ogpt-5.4
gpt-5.4Openai
99.5
30.1K
1.05M
¥18 / ¥108输入/输出
3
Ggemini-3.5-flash
gemini-3.5-flashGoogle
99.5
7.7K
1.05M
¥10.8 / ¥64.8输入/输出
4
Ggemini-3-pro
gemini-3-proGoogle
99.2
28.9K
1.05M
¥14.4 / ¥86.4输入/输出
4
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.2
22.2K
1M
¥36 / ¥180输入/输出
4
Ggemini-3-pro
gemini-3-proGoogle
99.2
28.9K
1.05M
¥14.4 / ¥86.4输入/输出
4
Ogpt-5.4
gpt-5.4Openai
99.2
30.1K
1.05M
¥18 / ¥108输入/输出
4
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
99.2
32.3K
1M
¥36 / ¥180输入/输出
4
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
99.2
27.2K
400K
¥5.4 / ¥32.4输入/输出
5
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.9
41K
1.05M
¥14.4 / ¥86.4输入/输出
5
Ggemini-3-pro
gemini-3-proGoogle
98.9
29.7K
1.05M
¥14.4 / ¥86.4输入/输出
5
Ogpt-5.4-high
gpt-5.4-highOpenai
98.9
28.2K
1.05M
¥18 / ¥108输入/输出
5
Ogpt-5.5-high
gpt-5.5-highOpenai
98.9
18.7K
1.05M
¥36 / ¥216输入/输出
5
Aclaude-opus-4-6
claude-opus-4-6Anthropic
98.9
34.1K
1M
¥36 / ¥180输入/输出
5
Ogpt-5.5
gpt-5.5Openai
98.9
19.2K
1.05M
¥36 / ¥216输入/输出
6
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.6
22.8K
1M
¥36 / ¥180输入/输出
6
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
98.6
41.6K
1.05M
¥14.4 / ¥86.4输入/输出
6
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.6
21.8K
1M
¥36 / ¥180输入/输出
6
Ogpt-5.1-high
gpt-5.1-highOpenai
98.6
28.7K
128K
¥9 / ¥72输入/输出
6
Ogpt-5.4
gpt-5.4Openai
98.6
30.1K
1.05M
¥18 / ¥108输入/输出
6
Ogpt-5.1-high
gpt-5.1-highOpenai
98.6
28.7K
128K
¥9 / ¥72输入/输出
7
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.4
7.7K
1.05M
¥10.8 / ¥64.8输入/输出
7
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.4
23.1K
1M
¥36 / ¥180输入/输出
7
Ogpt-5.5-high
gpt-5.5-highOpenai
98.4
18.7K
1.05M
¥36 / ¥216输入/输出
7
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
98.4
25K
128K
¥12.6 / ¥101输入/输出
7
Ogpt-5.5
gpt-5.5Openai
98.4
19.2K
1.05M
¥36 / ¥216输入/输出
7
Ogpt-5.2-high
gpt-5.2-highOpenai
98.4
35.1K
400K
¥12.6 / ¥101输入/输出
8
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
98.1
15.6K
-
-
8
Ggemini-3.5-flash
gemini-3.5-flashGoogle
98.1
7.8K
1.05M
¥10.8 / ¥64.8输入/输出
8
Aclaude-opus-4-7
claude-opus-4-7Anthropic
98.1
22.8K
1M
¥36 / ¥180输入/输出
8
Ogpt-5.1
gpt-5.1Openai
98.1
30.2K
128K
¥9 / ¥72输入/输出
8
Ggemini-3-pro
gemini-3-proGoogle
98.1
28.9K
1.05M
¥14.4 / ¥86.4输入/输出
8
Ogpt-5.1
gpt-5.1Openai
98.1
30.2K
128K
¥9 / ¥72输入/输出
9
M
muse-spark
muse-sparkMeta
97.8
10.1K
-
-
9
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.8
2.8K
1M
¥18 / ¥54输入/输出
9
Ogpt-5.2
gpt-5.2Openai
97.8
40.9K
400K
¥12.6 / ¥101输入/输出
9
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.8
2.9K
1M
¥18 / ¥54输入/输出
9
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.8
15.6K
-
-
9
Ggemini-3.5-flash
gemini-3.5-flashGoogle
97.8
7.7K
1.05M
¥10.8 / ¥64.8输入/输出
10
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.5
2.8K
1M
¥18 / ¥54输入/输出
10
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.5
15.6K
-
-
10
Ogpt-5.5
gpt-5.5Openai
97.5
19.2K
1.05M
¥36 / ¥216输入/输出
10
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
97.5
15.7K
-
-
10
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
97.5
2.8K
1M
¥18 / ¥54输入/输出
10
Ogpt-5.2
gpt-5.2Openai
97.5
40.9K
400K
¥12.6 / ¥101输入/输出
11
Ogpt-5.4-high
gpt-5.4-highOpenai
97.3
28.2K
1.05M
¥18 / ¥108输入/输出
11
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
97.3
41K
1.05M
¥14.4 / ¥86.4输入/输出
11
Mmuse-spark
muse-sparkMeta
97.3
10.2K
-
-
11
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
97.3
26.3K
400K
¥1.44 / ¥9输入/输出
11
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
97.3
6.7K
200K
¥108 / ¥540输入/输出
11
D
deepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
97.3
1.7K
131K
¥2.07 / ¥3.1输入/输出
12
Ggemini-3-flash
gemini-3-flashGoogle
97.0
21.4K
1.05M
¥3.6 / ¥21.6输入/输出
12
Ogpt-5.5
gpt-5.5Openai
97.0
19.2K
1.05M
¥36 / ¥216输入/输出
12
Ogpt-5.4-high
gpt-5.4-highOpenai
97.0
28.5K
1.05M
¥18 / ¥108输入/输出
12
Ogpt-5.1-high
gpt-5.1-highOpenai
97.0
28.7K
128K
¥9 / ¥72输入/输出
12
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
97.0
1.7K
131K
¥2.07 / ¥3.1输入/输出
12
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
97.0
6.7K
200K
¥108 / ¥540输入/输出
13
Z
glm-5.1
glm-5.1Zai
96.7
12.1K
200K
¥10.1 / ¥31.7输入/输出
13
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
96.7
6.7K
200K
¥108 / ¥540输入/输出
13
Ggemini-3-flash
gemini-3-flashGoogle
96.7
21.8K
1.05M
¥3.6 / ¥21.6输入/输出
13
Ogpt-5.5-instant
gpt-5.5-instantOpenai
96.7
20.3K
400K
¥36 / ¥216输入/输出
13
Aclaude-opus-4-7
claude-opus-4-7Anthropic
96.7
22.8K
1M
¥36 / ¥180输入/输出
13
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
96.7
32.3K
1M
¥36 / ¥180输入/输出
14
B
ernie-5.1
ernie-5.1Baidu
96.4
16.4K
119K
¥5.4 / ¥21.6输入/输出
14
Ogpt-5.4
gpt-5.4Openai
96.4
30.1K
1.05M
¥18 / ¥108输入/输出
14
Zglm-5.1
glm-5.1Zai
96.4
12.3K
200K
¥10.1 / ¥31.7输入/输出
14
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
96.4
26.1K
200K
¥108 / ¥540输入/输出
14
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
96.4
21.8K
1M
¥36 / ¥180输入/输出
14
Ggemini-3-pro
gemini-3-proGoogle
96.4
28.9K
1.05M
¥14.4 / ¥86.4输入/输出
15
Ogpt-5.5-high
gpt-5.5-highOpenai
96.2
18.7K
1.05M
¥36 / ¥216输入/输出
15
Ggemini-3-flash
gemini-3-flashGoogle
96.2
21.4K
1.05M
¥3.6 / ¥21.6输入/输出
15
Bernie-5.1
ernie-5.1Baidu
96.2
16.7K
119K
¥5.4 / ¥21.6输入/输出
15
Ogpt-5-high
gpt-5-highOpenai
96.2
4.9K
400K
¥9 / ¥72输入/输出
15
Aclaude-opus-4-8
claude-opus-4-8Anthropic
96.2
7.1K
200K
¥108 / ¥540输入/输出
15
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
96.2
26.1K
200K
¥108 / ¥540输入/输出
16
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
95.9
6.7K
200K
¥108 / ¥540输入/输出
16
Zglm-5.1
glm-5.1Zai
95.9
12.1K
200K
¥10.1 / ¥31.7输入/输出
16
Ogpt-5.5-high
gpt-5.5-highOpenai
95.9
19K
1.05M
¥36 / ¥216输入/输出
16
Ogpt-5.5-instant
gpt-5.5-instantOpenai
95.9
20.3K
400K
¥36 / ¥216输入/输出
16
Ggemini-3-flash
gemini-3-flashGoogle
95.9
21.4K
1.05M
¥3.6 / ¥21.6输入/输出
16
Ogpt-5-mini-high
gpt-5-mini-highOpenai
95.9
4.8K
400K
¥1.8 / ¥14.4输入/输出
17
Ogpt-5.5
gpt-5.5Openai
95.6
19.2K
1.05M
¥36 / ¥216输入/输出
17
Mmuse-spark
muse-sparkMeta
95.6
10.1K
-
-
17
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
95.6
6.9K
200K
¥108 / ¥540输入/输出
17
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
95.6
15.6K
-
-
17
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
95.6
41K
1.05M
¥14.4 / ¥86.4输入/输出
17
M
minimax-m1
minimax-m1Minimax
95.6
1.7K
1M
¥3.96 / ¥15.8输入/输出
18
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
95.3
17.7K
1.05M
¥0 / ¥0输入/输出
18
Aclaude-opus-4-8
claude-opus-4-8Anthropic
95.3
7.1K
200K
¥108 / ¥540输入/输出
18
Aclaude-opus-4-6
claude-opus-4-6Anthropic
95.3
34.1K
1M
¥36 / ¥180输入/输出
18
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
95.3
26.1K
200K
¥108 / ¥540输入/输出
18
Ogpt-5.5
gpt-5.5Openai
95.3
19.5K
1.05M
¥36 / ¥216输入/输出
18
Ggemini-2.5-flash
gemini-2.5-flashGoogle
95.3
49K
1.05M
¥2.16 / ¥18输入/输出
19
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
95.1
26.4K
1M
¥21.6 / ¥108输入/输出
19
Ggemini-2.5-pro
gemini-2.5-proGoogle
95.1
48.9K
1.05M
¥9 / ¥72输入/输出
19
Aclaude-opus-4-8
claude-opus-4-8Anthropic
95.1
7.1K
200K
¥108 / ¥540输入/输出
19
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
95.1
18K
1.05M
¥0 / ¥0输入/输出
19
Ggemini-2.5-pro
gemini-2.5-proGoogle
95.1
48.9K
1.05M
¥9 / ¥72输入/输出
19
Ogpt-5-chat
gpt-5-chatOpenai
95.1
5.3K
400K
¥9 / ¥72输入/输出
20
M
kimi-k2.6
kimi-k2.6Moonshot
94.8
16.6K
262K
¥6.84 / ¥28.8输入/输出
20
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
94.8
17.7K
1.05M
¥0 / ¥0输入/输出
20
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
94.8
27.2K
400K
¥5.4 / ¥32.4输入/输出
20
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
94.8
5.4K
8.19K
¥216 / ¥432输入/输出
20
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
94.8
25K
128K
¥12.6 / ¥101输入/输出
20
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.8
90.9K
1.05M
¥9 / ¥72输入/输出
21
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.5
48.9K
1.05M
¥9 / ¥72输入/输出
21
Bernie-5.1
ernie-5.1Baidu
94.5
16.4K
119K
¥5.4 / ¥21.6输入/输出
21
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
94.5
25.8K
1.05M
¥2.16 / ¥18输入/输出
21
Zglm-5.1
glm-5.1Zai
94.5
12.1K
200K
¥10.1 / ¥31.7输入/输出
21
Ggemini-2.5-pro
gemini-2.5-proGoogle
94.5
48.9K
1.05M
¥9 / ¥72输入/输出
21
Mkimi-k2.6
kimi-k2.6Moonshot
94.5
16.8K
262K
¥6.84 / ¥28.8输入/输出
22
Aclaude-opus-4-8
claude-opus-4-8Anthropic
94.2
7.1K
200K
¥108 / ¥540输入/输出
22
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
94.2
26.4K
1M
¥21.6 / ¥108输入/输出
22
Aclaude-opus-4-8
claude-opus-4-8Anthropic
94.2
7.1K
200K
¥108 / ¥540输入/输出
22
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
94.2
1.7K
131K
¥2.07 / ¥3.1输入/输出
22
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
94.2
2.8K
1M
¥18 / ¥54输入/输出
22
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
94.2
26.9K
1M
¥21.6 / ¥108输入/输出
23
Ogpt-5.4
gpt-5.4Openai
94.0
30.1K
1.05M
¥18 / ¥108输入/输出
23
Ogpt-5.1-high
gpt-5.1-highOpenai
94.0
28.7K
128K
¥9 / ¥72输入/输出
23
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
94.0
25.7K
400K
¥9 / ¥72输入/输出
23
Ogpt-5.1
gpt-5.1Openai
94.0
30.2K
128K
¥9 / ¥72输入/输出
23
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
94.0
25.7K
400K
¥9 / ¥72输入/输出
23
Aclaude-opus-4-8
claude-opus-4-8Anthropic
94.0
7.3K
200K
¥108 / ¥540输入/输出
24
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.7
28.9K
2M
¥14.4 / ¥43.2输入/输出
24
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
93.7
26.1K
200K
¥108 / ¥540输入/输出
24
UNtrinity-large-preview
-
93.7
22.5K
131K
¥1.8 / ¥7.2输入/输出
24
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.7
51.8K
200K
¥36 / ¥180输入/输出
24
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
93.7
28.4K
128K
¥18 / ¥72输入/输出
24
Ogpt-5.4
gpt-5.4Openai
93.7
30.5K
1.05M
¥18 / ¥108输入/输出
25
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.4
51.8K
200K
¥36 / ¥180输入/输出
25
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.4
51.8K
200K
¥36 / ¥180输入/输出
25
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
93.4
28.4K
128K
¥18 / ¥72输入/输出
25
Ogpt-5.2-high
gpt-5.2-highOpenai
93.4
35.1K
400K
¥12.6 / ¥101输入/输出
25
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
93.4
51.8K
200K
¥36 / ¥180输入/输出
25
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.4
29.3K
2M
¥14.4 / ¥43.2输入/输出
26
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
93.2
28K
1M
¥9 / ¥18输入/输出
26
Aclaude-opus-4-8-thinking
claude-opus-4-8-thinkingAnthropic
93.2
6.7K
200K
¥108 / ¥540输入/输出
26
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
93.2
28.9K
2M
¥14.4 / ¥43.2输入/输出
26
Ogpt-5.5-instant
gpt-5.5-instantOpenai
93.2
20.3K
400K
¥36 / ¥216输入/输出
26
Ggemini-3-flash
gemini-3-flashGoogle
93.2
21.4K
1.05M
¥3.6 / ¥21.6输入/输出
26
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
93.2
28.4K
1M
¥9 / ¥18输入/输出
27
A
amazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
92.9
2.4K
-
-
27
Mkimi-k2.6
kimi-k2.6Moonshot
92.9
16.6K
262K
¥6.84 / ¥28.8输入/输出
27
Ggemini-2.5-pro
gemini-2.5-proGoogle
92.9
48.9K
1.05M
¥9 / ¥72输入/输出
27
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
92.9
26.4K
1M
¥21.6 / ¥108输入/输出
27
Aclaude-opus-4-7
claude-opus-4-7Anthropic
92.9
22.8K
1M
¥36 / ¥180输入/输出
27
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
92.9
2.4K
-
-
28
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
92.6
34.5K
-
-
28
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
92.6
28K
1M
¥9 / ¥18输入/输出
28
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
92.6
8.2K
131K
¥2.07 / ¥3.1输入/输出
28
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
92.6
17.7K
1.05M
¥0 / ¥0输入/输出
28
Ggemini-2.5-flash
gemini-2.5-flashGoogle
92.6
49K
1.05M
¥2.16 / ¥18输入/输出
28
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
92.6
52.8K
200K
¥36 / ¥180输入/输出
29
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
92.3
26.1K
200K
¥108 / ¥540输入/输出
29
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
92.3
4K
262K
¥0.94 / ¥2.88输入/输出
29
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.3
45.2K
1.05M
¥3.6 / ¥21.6输入/输出
29
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
92.3
25.7K
400K
¥9 / ¥72输入/输出
29
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
92.3
26.3K
400K
¥1.44 / ¥9输入/输出
29
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
92.3
35K
-
-
30
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.1
18.9K
1M
¥3.13 / ¥6.26输入/输出
30
Aqwen3.5-max-preview
qwen3.5-max-previewAlibaba
92.1
15.6K
-
-
30
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.1
18.9K
1M
¥3.13 / ¥6.26输入/输出
30
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.1
45.2K
1.05M
¥3.6 / ¥21.6输入/输出
30
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
92.1
45.2K
1.05M
¥3.6 / ¥21.6输入/输出
30
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
92.1
19.2K
1M
¥3.13 / ¥6.26输入/输出
31
Bernie-5.0-0110
ernie-5.0-0110Baidu
91.8
24.6K
128K
¥6.05 / ¥24.3输入/输出
31
Ggemini-3-pro
gemini-3-proGoogle
91.8
28.9K
1.05M
¥14.4 / ¥86.4输入/输出
31
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
91.8
2.4K
-
-
31
Ogpt-5.2
gpt-5.2Openai
91.8
40.9K
400K
¥12.6 / ¥101输入/输出
31
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
91.8
8.2K
131K
¥2.07 / ¥3.1输入/输出
31
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
91.8
26.8K
200K
¥108 / ¥540输入/输出
32
Zglm-5
glm-5Zai
91.5
16.3K
205K
¥7.2 / ¥23输入/输出
32
Ggemini-3.5-flash
gemini-3.5-flashGoogle
91.5
7.7K
1.05M
¥10.8 / ¥64.8输入/输出
32
Zglm-5
glm-5Zai
91.5
16.3K
205K
¥7.2 / ¥23输入/输出
32
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
91.5
4K
262K
¥0.94 / ¥2.88输入/输出
32
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
91.5
28.4K
128K
¥18 / ¥72输入/输出
32
Bernie-5.0-0110
ernie-5.0-0110Baidu
91.5
25.1K
128K
¥6.05 / ¥24.3输入/输出
33
Mminimax-m3
minimax-m3Minimax
91.2
5.8K
512K
¥0 / ¥0输入/输出
33
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
91.2
51.8K
200K
¥36 / ¥180输入/输出
33
Xgrok-4.20-beta1
grok-4.20-beta1Xai
91.2
20.1K
256K
¥21.6 / ¥108输入/输出
33
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
91.2
28.9K
2M
¥14.4 / ¥43.2输入/输出
33
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
91.2
41K
1.05M
¥14.4 / ¥86.4输入/输出
33
Zglm-5
glm-5Zai
91.2
16.6K
205K
¥7.2 / ¥23输入/输出
34
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
91.0
31.7K
262K
¥4.32 / ¥21.6输入/输出
34
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
91.0
16.2K
1M
¥2.16 / ¥18输入/输出
34
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
91.0
1.7K
131K
¥2.07 / ¥3.1输入/输出
34
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
91.0
28K
1M
¥9 / ¥18输入/输出
34
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
91.0
21.8K
1M
¥36 / ¥180输入/输出
34
Mminimax-m3
minimax-m3Minimax
91.0
5.9K
512K
¥0 / ¥0输入/输出
35
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
90.7
45.2K
1.05M
¥3.6 / ¥21.6输入/输出
35
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
90.7
45.2K
1.05M
¥3.6 / ¥21.6输入/输出
35
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
90.7
25.7K
400K
¥9 / ¥72输入/输出
35
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
90.7
26.4K
1M
¥21.6 / ¥108输入/输出
35
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
90.7
4K
262K
¥0.94 / ¥2.88输入/输出
35
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
90.7
32.2K
262K
¥4.32 / ¥21.6输入/输出
36
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
90.4
17.8K
1M
¥3.13 / ¥6.26输入/输出
36
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
90.4
29K
200K
¥108 / ¥540输入/输出
36
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
90.4
3.9K
246K
¥9.5 / ¥56.9输入/输出
36
Xgrok-4.20-beta1
grok-4.20-beta1Xai
90.4
20.1K
256K
¥21.6 / ¥108输入/输出
36
Zglm-4.6
glm-4.6Zai
90.4
19.7K
205K
¥4.32 / ¥15.8输入/输出
36
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
90.4
46.1K
1.05M
¥3.6 / ¥21.6输入/输出
37
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
90.1
6.7K
128K
¥6.05 / ¥24.3输入/输出
37
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
90.1
32.3K
1M
¥36 / ¥180输入/输出
37
Zglm-4.6
glm-4.6Zai
90.1
19.7K
205K
¥4.32 / ¥15.8输入/输出
37
Zglm-4.6
glm-4.6Zai
90.1
19.7K
205K
¥4.32 / ¥15.8输入/输出
37
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
90.1
53.3K
200K
¥21.6 / ¥108输入/输出
37
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
90.1
18.1K
1M
¥3.13 / ¥6.26输入/输出
38
Xgrok-4.20-beta1
grok-4.20-beta1Xai
89.9
20.1K
256K
¥21.6 / ¥108输入/输出
38
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
89.9
53.3K
200K
¥21.6 / ¥108输入/输出
38
Ggemma-4-31b
gemma-4-31bGoogle
89.9
4K
262K
¥1.01 / ¥2.88输入/输出
38
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
89.9
18.9K
1M
¥3.13 / ¥6.26输入/输出
38
Ogpt-5-high
gpt-5-highOpenai
89.9
4.9K
400K
¥9 / ¥72输入/输出
38
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
89.9
3.9K
246K
¥9.5 / ¥56.9输入/输出
39
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
89.6
3.9K
246K
¥9.5 / ¥56.9输入/输出
39
Aclaude-opus-4-6
claude-opus-4-6Anthropic
89.6
34.1K
1M
¥36 / ¥180输入/输出
39
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
89.6
17.8K
1M
¥3.13 / ¥6.26输入/输出
39
Zglm-5
glm-5Zai
89.6
16.3K
205K
¥7.2 / ¥23输入/输出
39
Ogpt-5-chat
gpt-5-chatOpenai
89.6
5.3K
400K
¥9 / ¥72输入/输出
39
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
89.6
6.9K
128K
¥6.05 / ¥24.3输入/输出
40
Ggemma-4-31b
gemma-4-31bGoogle
89.3
4K
262K
¥1.01 / ¥2.88输入/输出
40
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
89.3
11.8K
205K
¥0 / ¥0输入/输出
40
Bernie-5.0-0110
ernie-5.0-0110Baidu
89.3
24.6K
128K
¥6.05 / ¥24.3输入/输出
40
Mmuse-spark
muse-sparkMeta
89.3
10.1K
-
-
40
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
89.3
28K
1M
¥9 / ¥18输入/输出
40
Xgrok-4.20-beta1
grok-4.20-beta1Xai
89.3
20.3K
256K
¥21.6 / ¥108输入/输出
41
Ogpt-5.1-high
gpt-5.1-highOpenai
89.0
28.7K
128K
¥9 / ¥72输入/输出
41
Ggemini-3-flash
gemini-3-flashGoogle
89.0
21.4K
1.05M
¥3.6 / ¥21.6输入/输出
41
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
89.0
55K
200K
¥21.6 / ¥108输入/输出
41
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
89.0
8.2K
131K
¥2.07 / ¥3.1输入/输出
41
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
89.0
28.9K
2M
¥14.4 / ¥43.2输入/输出
41
Ggemma-4-31b
gemma-4-31bGoogle
89.0
4K
262K
¥1.01 / ¥2.88输入/输出
42
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
88.8
28.4K
262K
¥3.1 / ¥18.6输入/输出
42
Zglm-4.6
glm-4.6Zai
88.8
19.7K
205K
¥4.32 / ¥15.8输入/输出
42
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
88.8
28.4K
262K
¥3.1 / ¥18.6输入/输出
42
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
88.8
17.7K
1.05M
¥0 / ¥0输入/输出
42
Mkimi-k2.6
kimi-k2.6Moonshot
88.8
16.6K
262K
¥6.84 / ¥28.8输入/输出
42
Ogpt-5.1-high
gpt-5.1-highOpenai
88.8
29.4K
128K
¥9 / ¥72输入/输出
43
Zglm-4.6
glm-4.6Zai
88.5
19.7K
205K
¥4.32 / ¥15.8输入/输出
43
Xgrok-4.3
grok-4.3Xai
88.5
18.4K
1M
¥9 / ¥18输入/输出
43
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
88.5
28.4K
128K
¥18 / ¥72输入/输出
43
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
88.5
53.3K
200K
¥21.6 / ¥108输入/输出
43
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
88.5
29K
200K
¥108 / ¥540输入/输出
43
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
88.5
28.9K
262K
¥3.1 / ¥18.6输入/输出
44
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
88.2
55K
200K
¥21.6 / ¥108输入/输出
44
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
88.2
4K
262K
¥0.94 / ¥2.88输入/输出
44
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
88.2
26.4K
1M
¥21.6 / ¥108输入/输出
44
Ggemini-2.5-flash
gemini-2.5-flashGoogle
88.2
49K
1.05M
¥2.16 / ¥18输入/输出
44
Xgrok-4.20-beta1
grok-4.20-beta1Xai
88.2
20.1K
256K
¥21.6 / ¥108输入/输出
44
Zglm-4.6
glm-4.6Zai
88.2
25K
205K
¥4.32 / ¥15.8输入/输出
45
Aqwen3-max-preview
qwen3-max-previewAlibaba
87.9
5.2K
262K
¥6.2 / ¥24.8输入/输出
45
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
87.9
31.7K
262K
¥4.32 / ¥21.6输入/输出
45
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
87.9
32.7K
1.05M
¥1.8 / ¥10.8输入/输出
45
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
87.9
55K
200K
¥21.6 / ¥108输入/输出
45
Zglm-5.1
glm-5.1Zai
87.9
12.1K
200K
¥10.1 / ¥31.7输入/输出
45
Aqwen3-max-preview
qwen3-max-previewAlibaba
87.9
19.7K
262K
¥6.2 / ¥24.8输入/输出
46
Zglm-4.7
glm-4.7Zai
87.7
8.1K
205K
¥4.32 / ¥15.8输入/输出
46
Zglm-4.7
glm-4.7Zai
87.7
8.1K
205K
¥4.32 / ¥15.8输入/输出
46
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
87.7
3.9K
246K
¥9.5 / ¥56.9输入/输出
46
Ddeepseek-v3.2
deepseek-v3.2Deepseek
87.7
32.7K
128K
¥4.46 / ¥13.3输入/输出
46
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
87.7
18.9K
1M
¥3.13 / ¥6.26输入/输出
46
NV
nvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
87.7
2.7K
1M
¥3.6 / ¥18输入/输出
47
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
87.4
2.6K
1M
¥3.6 / ¥18输入/输出
47
Ogpt-5.1
gpt-5.1Openai
87.4
30.2K
128K
¥9 / ¥72输入/输出
47
Bernie-5.1
ernie-5.1Baidu
87.4
16.4K
119K
¥5.4 / ¥21.6输入/输出
47
Aclaude-opus-4-7
claude-opus-4-7Anthropic
87.4
22.8K
1M
¥36 / ¥180输入/输出
47
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
87.4
55K
200K
¥21.6 / ¥108输入/输出
47
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
87.4
59.2K
200K
¥21.6 / ¥108输入/输出
48
Xgrok-4.1-thinking
grok-4.1-thinkingXai
87.1
47.3K
200K
¥14.4 / ¥72输入/输出
48
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
87.1
53.3K
200K
¥21.6 / ¥108输入/输出
48
Ggemma-4-31b
gemma-4-31bGoogle
87.1
4K
262K
¥1.01 / ¥2.88输入/输出
48
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
87.1
16.2K
1M
¥2.16 / ¥18输入/输出
48
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
87.1
28K
1M
¥9 / ¥18输入/输出
48
Zglm-4.7
glm-4.7Zai
87.1
8.4K
205K
¥4.32 / ¥15.8输入/输出
49
Xgrok-4.1
grok-4.1Xai
86.8
48K
200K
¥14.4 / ¥72输入/输出
49
Ogpt-5.5-instant
gpt-5.5-instantOpenai
86.8
20.3K
400K
¥36 / ¥216输入/输出
49
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
86.8
18.2K
200K
¥108 / ¥540输入/输出
49
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
86.8
25.8K
1.05M
¥2.16 / ¥18输入/输出
49
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
86.8
28.4K
262K
¥3.1 / ¥18.6输入/输出
49
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
86.8
26.1K
400K
¥9 / ¥72输入/输出
50
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
86.6
25.7K
400K
¥9 / ¥72输入/输出
50
Mminimax-m3
minimax-m3Minimax
86.6
5.8K
512K
¥0 / ¥0输入/输出
50
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
86.6
28.9K
2M
¥14.4 / ¥43.2输入/输出
50
Zglm-4.7
glm-4.7Zai
86.6
8.1K
205K
¥4.32 / ¥15.8输入/输出
50
Zglm-5
glm-5Zai
86.6
16.3K
205K
¥7.2 / ¥23输入/输出
50
Xgrok-4.1-thinking
grok-4.1-thinkingXai
86.6
48.3K
200K
¥14.4 / ¥72输入/输出
51
Aqwen3.6-plus
qwen3.6-plusAlibaba
86.3
19.3K
1M
¥3.6 / ¥21.6输入/输出
51
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
86.3
2.4K
-
-
51
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
86.3
55K
200K
¥21.6 / ¥108输入/输出
51
Aqwen3-max-preview
qwen3-max-previewAlibaba
86.3
5.2K
262K
¥6.2 / ¥24.8输入/输出
51
Ddeepseek-v3.2
deepseek-v3.2Deepseek
86.3
32.7K
128K
¥4.46 / ¥13.3输入/输出
51
Xgrok-4.1
grok-4.1Xai
86.3
49K
200K
¥14.4 / ¥72输入/输出
52
MImimo-v2-pro
mimo-v2-proXiaomi
86.0
18.4K
1.05M
¥0 / ¥0输入/输出
52
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
86.0
41K
1.05M
¥14.4 / ¥86.4输入/输出
52
MImimo-v2-pro
mimo-v2-proXiaomi
86.0
18.4K
1.05M
¥0 / ¥0输入/输出
52
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
86.0
17.8K
1M
¥3.13 / ¥6.26输入/输出
52
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
86.0
32.7K
1.05M
¥1.8 / ¥10.8输入/输出
52
Aqwen3.6-plus
qwen3.6-plusAlibaba
86.0
19.6K
1M
¥3.6 / ¥21.6输入/输出
53
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
85.8
4K
262K
¥0.94 / ¥2.88输入/输出
53
Xgrok-4.20-beta1
grok-4.20-beta1Xai
85.8
20.1K
256K
¥21.6 / ¥108输入/输出
53
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
85.8
27.2K
400K
¥5.4 / ¥32.4输入/输出
53
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
85.8
5.4K
8.19K
¥216 / ¥432输入/输出
53
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
85.8
2.7K
128K
¥6.05 / ¥24.3输入/输出
53
MImimo-v2-pro
mimo-v2-proXiaomi
85.8
18.5K
1.05M
¥0 / ¥0输入/输出
54
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
85.5
53.3K
200K
¥21.6 / ¥108输入/输出
54
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
85.5
8.2K
131K
¥2.07 / ¥3.1输入/输出
54
Aqwen3.7-max-preview
qwen3.7-max-previewAlibaba
85.5
2.8K
1M
¥18 / ¥54输入/输出
54
Xgrok-4.3
grok-4.3Xai
85.5
18.4K
1M
¥9 / ¥18输入/输出
54
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
85.5
29K
200K
¥108 / ¥540输入/输出
54
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
85.5
4K
262K
¥0.94 / ¥2.88输入/输出
55
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
85.2
1.7K
131K
¥2.07 / ¥3.1输入/输出
55
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
85.2
6.7K
128K
¥6.05 / ¥24.3输入/输出
55
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
85.2
28.1K
128K
¥4.46 / ¥13.3输入/输出
55
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
85.2
28.4K
262K
¥3.1 / ¥18.6输入/输出
55
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
85.2
25K
128K
¥12.6 / ¥101输入/输出
55
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
85.2
60.6K
200K
¥21.6 / ¥108输入/输出
56
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
84.9
28.4K
128K
¥18 / ¥72输入/输出
56
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
84.9
5.5K
262K
¥4.32 / ¥18输入/输出
56
Ogpt-5.2-high
gpt-5.2-highOpenai
84.9
35.1K
400K
¥12.6 / ¥101输入/输出
56
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
84.9
18.2K
200K
¥108 / ¥540输入/输出
56
Ddeepseek-v3.2
deepseek-v3.2Deepseek
84.9
32.7K
128K
¥4.46 / ¥13.3输入/输出
56
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.9
3.3K
128K
¥6.05 / ¥24.3输入/输出
57
MA
mistral-large-3
mistral-large-3Mistral
84.7
30.1K
262K
¥3.6 / ¥10.8输入/输出
57
Ddeepseek-v4-pro
deepseek-v4-proDeepseek
84.7
18.9K
1M
¥3.13 / ¥6.26输入/输出
57
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.7
2.7K
128K
¥6.05 / ¥24.3输入/输出
57
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.7
2.7K
128K
¥6.05 / ¥24.3输入/输出
57
Bernie-5.0-0110
ernie-5.0-0110Baidu
84.7
24.6K
128K
¥6.05 / ¥24.3输入/输出
57
MAmistral-large-3
mistral-large-3Mistral
84.7
30.7K
262K
¥3.6 / ¥10.8输入/输出
58
Mminimax-m2.5
minimax-m2.5Minimax
84.4
30.6K
205K
¥0 / ¥0输入/输出
58
Zglm-4.7
glm-4.7Zai
84.4
8.1K
205K
¥4.32 / ¥15.8输入/输出
58
MImimo-v2-pro
mimo-v2-proXiaomi
84.4
18.4K
1.05M
¥0 / ¥0输入/输出
58
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
84.4
2.7K
128K
¥6.05 / ¥24.3输入/输出
58
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
84.4
18.5K
1M
¥1.01 / ¥2.02输入/输出
58
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
84.4
58.8K
128K
¥18 / ¥72输入/输出
59
MImimo-v2.5-pro
mimo-v2.5-proXiaomi
84.1
17.7K
1.05M
¥0 / ¥0输入/输出
59
Ggemma-4-31b
gemma-4-31bGoogle
84.1
4K
262K
¥1.01 / ¥2.88输入/输出
59
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
84.1
31.7K
262K
¥4.32 / ¥21.6输入/输出
59
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
84.1
18.5K
1M
¥1.01 / ¥2.02输入/输出
59
Aqwen3.6-plus
qwen3.6-plusAlibaba
84.1
19.3K
1M
¥3.6 / ¥21.6输入/输出
59
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
84.1
18.9K
1M
¥1.01 / ¥2.02输入/输出
60
Xgrok-4-0709
grok-4-0709Xai
83.8
7.4K
256K
¥21.6 / ¥108输入/输出
60
Mkimi-k2.6
kimi-k2.6Moonshot
83.8
16.6K
262K
¥6.84 / ¥28.8输入/输出
60
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
83.8
18.5K
1M
¥1.01 / ¥2.02输入/输出
60
MAmistral-large-3
mistral-large-3Mistral
83.8
30.1K
262K
¥3.6 / ¥10.8输入/输出
60
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
83.8
8.2K
131K
¥2.07 / ¥3.1输入/输出
60
Zglm-4.5
glm-4.5Zai
83.8
17.3K
131K
¥4.32 / ¥15.8输入/输出
61
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
83.6
21.8K
1M
¥36 / ¥180输入/输出
61
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
83.6
28.1K
128K
¥4.46 / ¥13.3输入/输出
61
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
83.6
32.7K
1.05M
¥1.8 / ¥10.8输入/输出
61
Ogpt-5.2
gpt-5.2Openai
83.6
40.9K
400K
¥12.6 / ¥101输入/输出
61
MAmistral-medium-2508
mistral-medium-2508Mistral
83.6
47.8K
262K
¥2.88 / ¥14.4输入/输出
61
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
83.6
13.3K
164K
¥3.6 / ¥15.5输入/输出
62
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
83.3
59.2K
200K
¥7.2 / ¥36输入/输出
62
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
83.3
18.5K
1M
¥1.01 / ¥2.02输入/输出
62
Ggemini-2.5-flash
gemini-2.5-flashGoogle
83.3
49K
1.05M
¥2.16 / ¥18输入/输出
62
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
83.3
18.2K
200K
¥108 / ¥540输入/输出
62
Ddeepseek-v3.2
deepseek-v3.2Deepseek
83.3
32.7K
128K
¥4.46 / ¥13.3输入/输出
62
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
83.3
23.4K
128K
¥0 / ¥0输入/输出
63
MImimo-v2.5
mimo-v2.5Xiaomi
83.0
18.1K
1.05M
¥0 / ¥0输入/输出
63
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
83.0
3.9K
246K
¥9.5 / ¥56.9输入/输出
63
Ddeepseek-v3.2
deepseek-v3.2Deepseek
83.0
32.7K
128K
¥4.46 / ¥13.3输入/输出
63
MImimo-v2.5
mimo-v2.5Xiaomi
83.0
18.1K
1.05M
¥0 / ¥0输入/输出
63
M
longcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
83.0
20.9K
-
-
63
MAmistral-medium-2508
mistral-medium-2508Mistral
83.0
67.6K
262K
¥2.88 / ¥14.4输入/输出
64
MImimo-v2-omni
mimo-v2-omniXiaomi
82.7
6.8K
262K
¥0 / ¥0输入/输出
64
MImimo-v2.5
mimo-v2.5Xiaomi
82.7
18.1K
1.05M
¥0 / ¥0输入/输出
64
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
82.7
16.2K
1M
¥2.16 / ¥18输入/输出
64
Xgrok-4.1-thinking
grok-4.1-thinkingXai
82.7
47.3K
200K
¥14.4 / ¥72输入/输出
64
MImimo-v2.5
mimo-v2.5Xiaomi
82.7
18.1K
1.05M
¥0 / ¥0输入/输出
64
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
82.7
21.2K
-
-
65
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
82.5
18.5K
1M
¥1.01 / ¥2.02输入/输出
65
MImimo-v2-omni
mimo-v2-omniXiaomi
82.5
6.8K
262K
¥0 / ¥0输入/输出
65
Mminimax-m3
minimax-m3Minimax
82.5
5.8K
512K
¥0 / ¥0输入/输出
65
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
82.5
29K
200K
¥108 / ¥540输入/输出
65
Ogpt-5.1
gpt-5.1Openai
82.5
30.2K
128K
¥9 / ¥72输入/输出
65
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
82.5
8.4K
131K
¥2.07 / ¥3.1输入/输出
66
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
82.2
7.6K
262K
¥0.72 / ¥2.16输入/输出
66
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
82.2
11.8K
205K
¥0 / ¥0输入/输出
66
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
82.2
28.1K
128K
¥4.46 / ¥13.3输入/输出
66
MImimo-v2.5
mimo-v2.5Xiaomi
82.2
18.1K
1.05M
¥0 / ¥0输入/输出
66
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
82.2
2.4K
-
-
66
MImimo-v2.5
mimo-v2.5Xiaomi
82.2
18.4K
1.05M
¥0 / ¥0输入/输出
67
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.9
7K
262K
¥10.8 / ¥54输入/输出
67
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.9
7K
262K
¥10.8 / ¥54输入/输出
67
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.9
7K
262K
¥10.8 / ¥54输入/输出
67
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.9
7K
262K
¥10.8 / ¥54输入/输出
67
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.9
7K
262K
¥10.8 / ¥54输入/输出
67
Ddeepseek-v3.2
deepseek-v3.2Deepseek
81.9
33.4K
128K
¥4.46 / ¥13.3输入/输出
68
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
81.6
28.4K
262K
¥3.1 / ¥18.6输入/输出
68
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
81.6
5.5K
262K
¥4.32 / ¥18输入/输出
68
Ogpt-5-chat
gpt-5-chatOpenai
81.6
5.3K
400K
¥9 / ¥72输入/输出
68
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
81.6
18.2K
200K
¥108 / ¥540输入/输出
68
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
81.6
18.5K
1M
¥1.01 / ¥2.02输入/输出
68
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
81.6
6.5K
131K
¥2.07 / ¥3.1输入/输出
69
Zglm-5
glm-5Zai
81.4
16.3K
205K
¥7.2 / ¥23输入/输出
69
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
81.4
17.8K
1M
¥3.13 / ¥6.26输入/输出
69
MImimo-v2-omni
mimo-v2-omniXiaomi
81.4
6.8K
262K
¥0 / ¥0输入/输出
69
Xgrok-4.1
grok-4.1Xai
81.4
48K
200K
¥14.4 / ¥72输入/输出
69
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
81.4
46.1K
131K
¥2.07 / ¥8.26输入/输出
69
MAmistral-medium-3.5
mistral-medium-3.5Mistral
81.4
7.2K
262K
¥10.8 / ¥54输入/输出
70
CO
command-a-03-2025
command-a-03-2025Cohere
81.1
5.3K
256K
¥18 / ¥72输入/输出
70
MImimo-v2-pro
mimo-v2-proXiaomi
81.1
18.4K
1.05M
¥0 / ¥0输入/输出
70
Aqwen3-max-preview
qwen3-max-previewAlibaba
81.1
5.2K
262K
¥6.2 / ¥24.8输入/输出
70
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
81.1
28.1K
128K
¥4.46 / ¥13.3输入/输出
70
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
81.1
5.5K
262K
¥4.32 / ¥18输入/输出
70
Ogpt-5.1
gpt-5.1Openai
81.1
31K
128K
¥9 / ¥72输入/输出
71
UNtrinity-large-thinking
-
80.8
22.3K
131K
¥1.8 / ¥7.2输入/输出
71
Ogpt-5-high
gpt-5-highOpenai
80.8
4.9K
400K
¥9 / ¥72输入/输出
71
Ogpt-5-mini-high
gpt-5-mini-highOpenai
80.8
4.8K
400K
¥1.8 / ¥14.4输入/输出
71
MImimo-v2-omni
mimo-v2-omniXiaomi
80.8
6.8K
262K
¥0 / ¥0输入/输出
71
Ogpt-5.5-instant
gpt-5.5-instantOpenai
80.8
20.3K
400K
¥36 / ¥216输入/输出
71
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
80.8
10K
8.19K
¥216 / ¥432输入/输出
72
Bernie-5.0-preview-1022
ernie-5.0-preview-1022Baidu
80.5
2.7K
128K
¥6.05 / ¥24.3输入/输出
72
MAmistral-large-3
mistral-large-3Mistral
80.5
30.1K
262K
¥3.6 / ¥10.8输入/输出
72
Xgrok-4-0709
grok-4-0709Xai
80.5
7.4K
256K
¥21.6 / ¥108输入/输出
72
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
80.5
2.6K
1M
¥3.6 / ¥18输入/输出
72
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
80.5
2.2K
131K
¥2.06 / ¥8.26输入/输出
72
Mlongcat-flash-chat
longcat-flash-chatMeituan
80.5
8.1K
-
-
73
Zglm-4.7
glm-4.7Zai
80.3
8.1K
205K
¥4.32 / ¥15.8输入/输出
73
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.3
5.5K
262K
¥4.32 / ¥18输入/输出
73
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
80.3
20.5K
262K
¥2.88 / ¥23输入/输出
73
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
80.3
32.7K
1.05M
¥1.8 / ¥10.8输入/输出
73
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
80.3
28.1K
128K
¥4.46 / ¥13.3输入/输出
73
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
80.3
18.8K
1M
¥1.01 / ¥2.02输入/输出
74
Mminimax-m2.7
minimax-m2.7Minimax
80.0
23.5K
205K
¥0 / ¥0输入/输出
74
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
80.0
26.3K
400K
¥1.44 / ¥9输入/输出
74
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
80.0
46.1K
131K
¥2.07 / ¥8.26输入/输出
74
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
80.0
46.1K
131K
¥2.07 / ¥8.26输入/输出
74
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
80.0
29K
200K
¥108 / ¥540输入/输出
74
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
80.0
8.1K
131K
¥2.06 / ¥8.26输入/输出
75
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
79.7
20.5K
262K
¥2.88 / ¥23输入/输出
75
Xgrok-4.3
grok-4.3Xai
79.7
18.4K
1M
¥9 / ¥18输入/输出
75
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
79.7
59.2K
200K
¥7.2 / ¥36输入/输出
75
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
79.7
5.5K
262K
¥4.32 / ¥18输入/输出
75
MImimo-v2-omni
mimo-v2-omniXiaomi
79.7
6.8K
262K
¥0 / ¥0输入/输出
75
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
79.7
2.5K
-
-
76
Ggemma-4-31b
gemma-4-31bGoogle
79.5
4K
262K
¥1.01 / ¥2.88输入/输出
76
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
79.5
46.1K
131K
¥2.07 / ¥8.26输入/输出
76
Bernie-5.1
ernie-5.1Baidu
79.5
16.4K
119K
¥5.4 / ¥21.6输入/输出
76
MAmistral-medium-2508
mistral-medium-2508Mistral
79.5
47.8K
262K
¥2.88 / ¥14.4输入/输出
76
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
79.5
18.2K
200K
¥108 / ¥540输入/输出
76
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
79.5
5.6K
262K
¥4.32 / ¥18输入/输出
77
Aqwen3.5-27b
qwen3.5-27bAlibaba
79.2
19.7K
262K
¥2.16 / ¥17.3输入/输出
77
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
79.2
2.4K
-
-
77
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
79.2
20.5K
262K
¥2.88 / ¥23输入/输出
77
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
79.2
18.5K
1M
¥1.01 / ¥2.02输入/输出
77
Ggemini-2.5-flash
gemini-2.5-flashGoogle
79.2
49K
1.05M
¥2.16 / ¥18输入/输出
77
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
79.2
69.2K
131K
¥2.07 / ¥8.26输入/输出
78
Zglm-5.1
glm-5.1Zai
78.9
12.1K
200K
¥10.1 / ¥31.7输入/输出
78
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
78.9
31.7K
262K
¥4.32 / ¥21.6输入/输出
78
Aqwen3.6-plus
qwen3.6-plusAlibaba
78.9
19.3K
1M
¥3.6 / ¥21.6输入/输出
78
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
78.9
20.9K
-
-
78
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
78.9
17.4K
-
-
78
MImimo-v2-omni
mimo-v2-omniXiaomi
78.9
7K
262K
¥0 / ¥0输入/输出
79
Aqwen3.5-flash
qwen3.5-flashAlibaba
78.6
27.1K
1M
¥1.24 / ¥12.4输入/输出
79
Bernie-5.0-0110
ernie-5.0-0110Baidu
78.6
24.6K
128K
¥6.05 / ¥24.3输入/输出
79
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
78.6
18.5K
1M
¥1.01 / ¥2.02输入/输出
79
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
78.6
20.5K
262K
¥2.88 / ¥23输入/输出
79
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
78.6
20.5K
262K
¥2.88 / ¥23输入/输出
79
Ddeepseek-v3.1-terminus-thinking
deepseek-v3.1-terminus-thinkingDeepseek
78.6
2.5K
131K
¥1.94 / ¥7.2输入/输出
80
Ggemma-3-27b-it
gemma-3-27b-itGoogle
78.4
1.7K
110K
¥0.72 / ¥2.16输入/输出
80
MAmistral-large-3
mistral-large-3Mistral
78.4
30.1K
262K
¥3.6 / ¥10.8输入/输出
80
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
78.4
6.7K
128K
¥6.05 / ¥24.3输入/输出
80
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
78.4
34.5K
-
-
80
Ogpt-5.2-high
gpt-5.2-highOpenai
78.4
35.1K
400K
¥12.6 / ¥101输入/输出
80
Ogpt-5.5-instant
gpt-5.5-instantOpenai
78.4
20.5K
400K
¥36 / ¥216输入/输出
81
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
78.1
46.1K
131K
¥2.07 / ¥8.26输入/输出
81
Mminimax-m2.7
minimax-m2.7Minimax
78.1
23.5K
205K
¥0 / ¥0输入/输出
81
MAmistral-medium-2508
mistral-medium-2508Mistral
78.1
47.8K
262K
¥2.88 / ¥14.4输入/输出
81
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
78.1
16.2K
1M
¥2.16 / ¥18输入/输出
81
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
78.1
32.7K
1.05M
¥1.8 / ¥10.8输入/输出
81
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
78.1
28.7K
128K
¥4.46 / ¥13.3输入/输出
82
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
77.8
33K
262K
¥0.72 / ¥2.16输入/输出
82
UNtrinity-large-preview
-
77.8
22.5K
131K
¥1.8 / ¥7.2输入/输出
82
Xgrok-4-0709
grok-4-0709Xai
77.8
7.4K
256K
¥21.6 / ¥108输入/输出
82
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
77.8
2.4K
-
-
82
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
77.8
5.2K
131K
¥1.04 / ¥4.13输入/输出
82
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
77.8
16.2K
131K
¥1.04 / ¥4.13输入/输出
83
Mkimi-k2.6
kimi-k2.6Moonshot
77.5
16.6K
262K
¥6.84 / ¥28.8输入/输出
83
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
77.5
18.5K
1M
¥1.01 / ¥2.02输入/输出
83
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
77.5
33K
262K
¥0.72 / ¥2.16输入/输出
83
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
77.5
43.6K
262K
¥8.28 / ¥57.6输入/输出
83
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
77.5
43.6K
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
35.8K
200K
¥108 / ¥540输入/输出
84
MImimo-v2-pro
mimo-v2-proXiaomi
77.3
18.4K
1.05M
¥0 / ¥0输入/输出
84
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
77.3
33K
262K
¥0.72 / ¥2.16输入/输出
84
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
77.3
25.8K
1.05M
¥2.16 / ¥18输入/输出
84
Xgrok-4.3
grok-4.3Xai
77.3
18.4K
1M
¥9 / ¥18输入/输出
84
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
77.3
27.2K
400K
¥5.4 / ¥32.4输入/输出
84
Ddeepseek-v3.1
deepseek-v3.1Deepseek
77.3
10.7K
131K
¥4.13 / ¥12.4输入/输出
85
Zglm-4.6v
glm-4.6vZai
77.0
1.8K
128K
¥2.16 / ¥6.48输入/输出
85
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
77.0
7.6K
262K
¥0.72 / ¥2.16输入/输出
85
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
77.0
43.6K
262K
¥8.28 / ¥57.6输入/输出
85
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
77.0
33K
262K
¥0.72 / ¥2.16输入/输出
85
Ogpt-5.2
gpt-5.2Openai
77.0
40.9K
400K
¥12.6 / ¥101输入/输出
85
Ggemini-2.5-flash
gemini-2.5-flashGoogle
77.0
89.3K
1.05M
¥2.16 / ¥18输入/输出
86
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
76.7
17.8K
1M
¥3.13 / ¥6.26输入/输出
86
Mminimax-m3
minimax-m3Minimax
76.7
5.8K
512K
¥0 / ¥0输入/输出
86
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
76.7
11.8K
205K
¥0 / ¥0输入/输出
86
Ogpt-5-chat
gpt-5-chatOpenai
76.7
5.3K
400K
¥9 / ¥72输入/输出
86
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
76.7
33K
262K
¥0.72 / ¥2.16输入/输出
86
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
76.7
55.8K
200K
¥108 / ¥540输入/输出
87
Zglm-4.5-air
glm-4.5-airZai
76.4
4.9K
131K
¥1.44 / ¥7.92输入/输出
87
Aqwen3.5-27b
qwen3.5-27bAlibaba
76.4
19.7K
262K
¥2.16 / ¥17.3输入/输出
87
Xgrok-4.1-thinking
grok-4.1-thinkingXai
76.4
47.3K
200K
¥14.4 / ¥72输入/输出
87
Ogpt-5-high
gpt-5-highOpenai
76.4
4.9K
400K
¥9 / ¥72输入/输出
87
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
76.4
40.1K
2M
¥1.44 / ¥3.6输入/输出
87
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
76.4
17.8K
-
-
88
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
76.2
18.5K
1M
¥1.01 / ¥2.02输入/输出
88
Aqwen3.5-flash
qwen3.5-flashAlibaba
76.2
27.1K
1M
¥1.24 / ¥12.4输入/输出
88
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
76.2
20.9K
-
-
88
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
76.2
25K
128K
¥12.6 / ¥101输入/输出
88
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
76.2
16.2K
1M
¥2.16 / ¥18输入/输出
88
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
76.2
20.8K
262K
¥2.88 / ¥23输入/输出
89
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
75.9
7.5K
2M
¥1.44 / ¥3.6输入/输出
89
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
75.9
2.5K
262K
¥6.2 / ¥24.8输入/输出
89
Mminimax-m2.7
minimax-m2.7Minimax
75.9
23.5K
205K
¥0 / ¥0输入/输出
89
Xgrok-4-0709
grok-4-0709Xai
75.9
7.4K
256K
¥21.6 / ¥108输入/输出
89
Aqwen3.5-27b
qwen3.5-27bAlibaba
75.9
19.7K
262K
¥2.16 / ¥17.3输入/输出
89
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
75.9
8.4K
131K
¥4.13 / ¥12.4输入/输出
90
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
75.6
21K
262K
¥1.8 / ¥14.4输入/输出
90
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.6
43.6K
262K
¥8.28 / ¥57.6输入/输出
90
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
75.6
5.4K
8.19K
¥216 / ¥432输入/输出
90
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
75.6
5.2K
131K
¥1.04 / ¥4.13输入/输出
90
Ddeepseek-v3.1-terminus
deepseek-v3.1-terminusDeepseek
75.6
2.7K
131K
¥1.94 / ¥7.2输入/输出
90
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
75.6
4.9K
256K
¥0 / ¥0输入/输出
91
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
75.3
2.5K
262K
¥6.2 / ¥24.8输入/输出
91
Mminimax-m1
minimax-m1Minimax
75.3
1.7K
1M
¥3.96 / ¥15.8输入/输出
91
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
75.3
59.2K
200K
¥7.2 / ¥36输入/输出
91
Aqwen3.5-27b
qwen3.5-27bAlibaba
75.3
19.7K
262K
¥2.16 / ¥17.3输入/输出
91
Ogpt-5.2-high
gpt-5.2-highOpenai
75.3
35.6K
400K
¥12.6 / ¥101输入/输出
91
ST
step-3.5-flash
step-3.5-flashStepfun
75.3
29.8K
256K
¥0.69 / ¥2.07输入/输出
92
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
75.1
43.6K
262K
¥8.28 / ¥57.6输入/输出
92
Mminimax-m2.5
minimax-m2.5Minimax
75.1
30.6K
205K
¥0 / ¥0输入/输出
92
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
75.1
2.5K
262K
¥6.2 / ¥24.8输入/输出
92
Mminimax-m2.7
minimax-m2.7Minimax
75.1
23.5K
205K
¥0 / ¥0输入/输出
92
Xgrok-4.3
grok-4.3Xai
75.1
18.4K
1M
¥9 / ¥18输入/输出
92
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
75.1
33.2K
1.05M
¥1.8 / ¥10.8输入/输出
93
MAmistral-large-3
mistral-large-3Mistral
74.8
30.1K
262K
¥3.6 / ¥10.8输入/输出
93
Aqwen3-max-preview
qwen3-max-previewAlibaba
74.8
5.2K
262K
¥6.2 / ¥24.8输入/输出
93
Aqwen3.5-27b
qwen3.5-27bAlibaba
74.8
19.7K
262K
¥2.16 / ¥17.3输入/输出
93
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
74.8
17.4K
-
-
93
Ogpt-5-high
gpt-5-highOpenai
74.8
4.9K
400K
¥9 / ¥72输入/输出
93
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
74.8
44.5K
262K
¥8.28 / ¥57.6输入/输出
94
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
74.5
3.9K
246K
¥9.5 / ¥56.9输入/输出
94
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.5
7.5K
2M
¥1.44 / ¥3.6输入/输出
94
Aqwen3.5-flash
qwen3.5-flashAlibaba
74.5
27.1K
1M
¥1.24 / ¥12.4输入/输出
94
STstep-3.5-flash
step-3.5-flashStepfun
74.5
29.8K
256K
¥0.69 / ¥2.07输入/输出
94
Ogpt-5-chat
gpt-5-chatOpenai
74.5
5.3K
400K
¥9 / ¥72输入/输出
94
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
74.5
6.4K
131K
¥2.07 / ¥8.26输入/输出
95
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
74.2
8.7K
200K
¥14.4 / ¥57.6输入/输出
95
Mmuse-spark
muse-sparkMeta
74.2
10.1K
-
-
95
STstep-3.5-flash
step-3.5-flashStepfun
74.2
29.8K
256K
¥0.69 / ¥2.07输入/输出
95
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.2
7.5K
2M
¥1.44 / ¥3.6输入/输出
95
Mminimax-m2.7
minimax-m2.7Minimax
74.2
23.5K
205K
¥0 / ¥0输入/输出
95
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
74.2
27.5K
400K
¥5.4 / ¥32.4输入/输出
96
STstep-3.5-flash
step-3.5-flashStepfun
74.0
29.8K
256K
¥0.69 / ¥2.07输入/输出
96
MAmistral-medium-2508
mistral-medium-2508Mistral
74.0
47.8K
262K
¥2.88 / ¥14.4输入/输出
96
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
74.0
7.5K
2M
¥1.44 / ¥3.6输入/输出
96
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
74.0
2.2K
131K
¥2.06 / ¥8.26输入/输出
96
Xgrok-4-0709
grok-4-0709Xai
74.0
7.4K
256K
¥21.6 / ¥108输入/输出
96
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
74.0
6.4K
262K
¥6.2 / ¥24.8输入/输出
97
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
73.7
31.7K
262K
¥4.32 / ¥21.6输入/输出
97
Aqwen3.6-plus
qwen3.6-plusAlibaba
73.7
19.3K
1M
¥3.6 / ¥21.6输入/输出
97
Xgrok-4.1
grok-4.1Xai
73.7
48K
200K
¥14.4 / ¥72输入/输出
97
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
73.7
40.1K
2M
¥1.44 / ¥3.6输入/输出
97
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
73.7
7.5K
2M
¥1.44 / ¥3.6输入/输出
97
Ogpt-5.2
gpt-5.2Openai
73.7
41.6K
400K
¥12.6 / ¥101输入/输出
98
IB
granite-4.1-8b
granite-4.1-8bIbm
73.4
3.1K
131K
¥0.36 / ¥0.72输入/输出
98
STstep-3.5-flash
step-3.5-flashStepfun
73.4
29.8K
256K
¥0.69 / ¥2.07输入/输出
98
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
73.4
7.6K
262K
¥0.72 / ¥2.16输入/输出
98
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
73.4
59.2K
200K
¥7.2 / ¥36输入/输出
98
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
73.4
33.6K
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
2.3K
-
-
99
Bernie-5.0-0110
ernie-5.0-0110Baidu
73.2
24.6K
128K
¥6.05 / ¥24.3输入/输出
99
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
73.2
21K
262K
¥1.8 / ¥14.4输入/输出
99
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
73.2
2.4K
-
-
99
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
73.2
4.9K
256K
¥0 / ¥0输入/输出
99
Xgrok-4-0709
grok-4-0709Xai
73.2
30K
256K
¥21.6 / ¥108输入/输出
99
Aqwen3.5-flash
qwen3.5-flashAlibaba
73.2
27.1K
1M
¥1.24 / ¥12.4输入/输出
100
Zglm-4.7-flash
glm-4.7-flashZai
72.9
8.1K
200K
¥0 / ¥0输入/输出
100
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
72.9
20.9K
-
-
100
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
72.9
2.6K
1M
¥3.6 / ¥18输入/输出
100
Aqwen3.5-flash
qwen3.5-flashAlibaba
72.9
27.1K
1M
¥1.24 / ¥12.4输入/输出
100
Xgrok-4-fast-chat
grok-4-fast-chatXai
72.9
4.9K
2M
¥1.44 / ¥3.6输入/输出
100
Oo3-2025-04-16
o3-2025-04-16Openai
72.9
5.2K
200K
¥14.4 / ¥57.6输入/输出
101
Mminimax-m2
minimax-m2Minimax
72.6
4.8K
197K
¥0 / ¥0输入/输出
101
Zglm-4.5-air
glm-4.5-airZai
72.6
4.9K
131K
¥1.44 / ¥7.92输入/输出
101
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
72.6
21K
262K
¥1.8 / ¥14.4输入/输出
101
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
72.6
2.5K
262K
¥6.2 / ¥24.8输入/输出
101
Oo3-2025-04-16
o3-2025-04-16Openai
72.6
43.5K
200K
¥14.4 / ¥57.6输入/输出
101
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
72.6
7.8K
-
-
102
MAmistral-medium-2508
mistral-medium-2508Mistral
72.3
47.8K
262K
¥2.88 / ¥14.4输入/输出
102
UNtrinity-large-thinking
-
72.3
22.3K
131K
¥1.8 / ¥7.2输入/输出
102
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
72.3
4.9K
256K
¥0 / ¥0输入/输出
102
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
72.3
11.8K
205K
¥0 / ¥0输入/输出
102
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
72.3
41K
2M
¥1.44 / ¥3.6输入/输出
102
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
72.3
21K
262K
¥1.8 / ¥14.4输入/输出
103
Mminimax-m3
minimax-m3Minimax
72.1
5.8K
512K
¥0 / ¥0输入/输出
103
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
72.1
6.7K
128K
¥6.05 / ¥24.3输入/输出
103
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
72.1
5.2K
131K
¥1.04 / ¥4.13输入/输出
103
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
72.1
26.3K
400K
¥1.44 / ¥9输入/输出
103
Aqwen3.5-27b
qwen3.5-27bAlibaba
72.1
19.9K
262K
¥2.16 / ¥17.3输入/输出
103
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
72.1
59.2K
200K
¥7.2 / ¥36输入/输出
104
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.8
4.9K
256K
¥0 / ¥0输入/输出
104
Xgrok-4.1-thinking
grok-4.1-thinkingXai
71.8
47.3K
200K
¥14.4 / ¥72输入/输出
104
Ogpt-5-mini-high
gpt-5-mini-highOpenai
71.8
4.8K
400K
¥1.8 / ¥14.4输入/输出
104
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
71.8
7.6K
262K
¥0.72 / ¥2.16输入/输出
104
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
71.8
23.4K
1M
¥2.16 / ¥18输入/输出
104
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
71.8
7.6K
262K
¥0.72 / ¥2.16输入/输出
105
UNintellect-3
-
71.5
3.6K
128K
¥1.58 / ¥8.65输入/输出
105
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.5
4.9K
256K
¥0 / ¥0输入/输出
105
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
71.5
40.1K
2M
¥1.44 / ¥3.6输入/输出
105
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
71.5
21K
262K
¥1.8 / ¥14.4输入/输出
105
TEhunyuan-hy3-preview
hunyuan-hy3-previewTencent
71.5
5K
256K
¥0 / ¥0输入/输出
105
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
71.5
11.8K
205K
¥0 / ¥0输入/输出
106
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
71.2
1.8K
200K
¥7.92 / ¥31.7输入/输出
106
Zglm-4.6v
glm-4.6vZai
71.2
1.8K
128K
¥2.16 / ¥6.48输入/输出
106
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
71.2
2.2K
131K
¥2.06 / ¥8.26输入/输出
106
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.2
5.4K
8.19K
¥216 / ¥432输入/输出
106
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
71.2
1.6K
-
-
106
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
71.2
25K
128K
¥12.6 / ¥101输入/输出
107
Bernie-5.1
ernie-5.1Baidu
71.0
16.4K
119K
¥5.4 / ¥21.6输入/输出
107
Ggemma-3-27b-it
gemma-3-27b-itGoogle
71.0
1.7K
110K
¥0.72 / ¥2.16输入/输出
107
Zglm-4.5-air
glm-4.5-airZai
71.0
4.9K
131K
¥1.44 / ¥7.92输入/输出
107
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
71.0
25.8K
1.05M
¥2.16 / ¥18输入/输出
107
STstep-3.5-flash
step-3.5-flashStepfun
71.0
30.3K
256K
¥0.69 / ¥2.07输入/输出
107
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
71.0
5.4K
8.19K
¥216 / ¥432输入/输出
108
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
70.7
20.9K
-
-
108
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
70.7
2.4K
-
-
108
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
70.7
17.4K
-
-
108
Oo3-2025-04-16
o3-2025-04-16Openai
70.7
5.2K
200K
¥14.4 / ¥57.6输入/输出
108
Xgrok-4.3
grok-4.3Xai
70.7
18.7K
1M
¥9 / ¥18输入/输出
108
Zglm-4.5-air
glm-4.5-airZai
70.7
4.9K
131K
¥1.44 / ¥7.92输入/输出
109
Aqwen3.6-plus
qwen3.6-plusAlibaba
70.4
19.3K
1M
¥3.6 / ¥21.6输入/输出
109
Xgrok-4.1
grok-4.1Xai
70.4
48K
200K
¥14.4 / ¥72输入/输出
109
Mminimax-m2.5
minimax-m2.5Minimax
70.4
30.6K
205K
¥0 / ¥0输入/输出
109
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
70.4
2.3K
-
-
109
Ogpt-5-high
gpt-5-highOpenai
70.4
23.6K
400K
¥9 / ¥72输入/输出
109
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
70.4
25.8K
1.05M
¥2.16 / ¥18输入/输出
110
IA
mercury-2
mercury-2Inception Ai
70.1
2.2K
128K
¥1.8 / ¥5.4输入/输出
110
COcommand-a-03-2025
command-a-03-2025Cohere
70.1
5.3K
256K
¥18 / ¥72输入/输出
110
Oo3-2025-04-16
o3-2025-04-16Openai
70.1
5.2K
200K
¥14.4 / ¥57.6输入/输出
110
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
70.1
7.8K
-
-
110
Mminimax-m2.7
minimax-m2.7Minimax
70.1
23.8K
205K
¥0 / ¥0输入/输出
110
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
70.1
5.2K
256K
¥1.08 / ¥4.68输入/输出
111
Aamazon-nova-experimental-chat-26-02-10
amazon-nova-experimental-chat-26-02-10Amazon
69.9
2.4K
-
-
111
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
69.9
40.1K
2M
¥1.44 / ¥3.6输入/输出
111
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
69.9
2.3K
-
-
111
Zglm-4.5-air
glm-4.5-airZai
69.9
4.9K
131K
¥1.44 / ¥7.92输入/输出
111
Ogpt-5-chat
gpt-5-chatOpenai
69.9
22.7K
400K
¥9 / ¥72输入/输出
111
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
69.9
26.3K
400K
¥1.44 / ¥9输入/输出
112
Aqwen3-max-preview
qwen3-max-previewAlibaba
69.6
5.2K
262K
¥6.2 / ¥24.8输入/输出
112
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
69.6
5.2K
131K
¥1.04 / ¥4.13输入/输出
112
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
69.6
34.5K
-
-
112
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
69.6
5.6K
131K
¥2.06 / ¥8.26输入/输出
112
Ogpt-5-mini-high
gpt-5-mini-highOpenai
69.6
4.8K
400K
¥1.8 / ¥14.4输入/输出
112
Ogpt-oss-120b
gpt-oss-120bOpenai
69.6
5K
128K
¥7.2 / ¥30.2输入/输出
113
Anova-2-lite
nova-2-liteAmazon
69.3
8.4K
128K
¥2.38 / ¥19.8输入/输出
113
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
69.3
2.2K
131K
¥2.06 / ¥8.26输入/输出
113
UNtrinity-large-preview
-
69.3
22.5K
131K
¥1.8 / ¥7.2输入/输出
113
TEhunyuan-t1-20250711
hunyuan-t1-20250711Tencent
69.3
3.3K
131K
¥0 / ¥0输入/输出
113
Zglm-4.6v
glm-4.6vZai
69.3
1.8K
128K
¥2.16 / ¥6.48输入/输出
113
Zglm-4.6v
glm-4.6vZai
69.3
1.8K
128K
¥2.16 / ¥6.48输入/输出
114
Xgrok-4.1-thinking
grok-4.1-thinkingXai
69.0
47.3K
200K
¥14.4 / ¥72输入/输出
114
Oo3-2025-04-16
o3-2025-04-16Openai
69.0
5.2K
200K
¥14.4 / ¥57.6输入/输出
114
Zglm-4.6v
glm-4.6vZai
69.0
1.8K
128K
¥2.16 / ¥6.48输入/输出
114
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
69.0
2.3K
-
-
114
Mminimax-m2.5
minimax-m2.5Minimax
69.0
30.6K
205K
¥0 / ¥0输入/输出
114
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
69.0
2.5K
262K
¥6.2 / ¥24.8输入/输出
115
Oo3-2025-04-16
o3-2025-04-16Openai
68.8
5.2K
200K
¥14.4 / ¥57.6输入/输出
115
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
68.8
2.3K
-
-
115
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
68.8
7.8K
-
-
115
Aqwen3.5-flash
qwen3.5-flashAlibaba
68.8
27.5K
1M
¥1.24 / ¥12.4输入/输出
115
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
68.8
5.2K
256K
¥1.08 / ¥4.68输入/输出
115
Ogpt-5-mini-high
gpt-5-mini-highOpenai
68.8
4.8K
400K
¥1.8 / ¥14.4输入/输出
116
Aamazon-nova-experimental-chat-26-01-10
amazon-nova-experimental-chat-26-01-10Amazon
68.5
2.3K
-
-
116
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
68.5
2.6K
1M
¥3.6 / ¥18输入/输出
116
UNtrinity-large-thinking
-
68.5
22.3K
131K
¥1.8 / ¥7.2输入/输出
116
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
68.5
13.2K
2M
¥1.44 / ¥3.6输入/输出
116
Ogpt-oss-120b
gpt-oss-120bOpenai
68.5
5K
128K
¥7.2 / ¥30.2输入/输出
116
Anova-2-lite
nova-2-liteAmazon
68.5
8.4K
128K
¥2.38 / ¥19.8输入/输出
117
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
68.2
2.2K
131K
¥2.06 / ¥8.26输入/输出
117
Zglm-4.7-flash
glm-4.7-flashZai
68.2
8.1K
200K
¥0 / ¥0输入/输出
117
Mminimax-m1
minimax-m1Minimax
68.2
1.7K
1M
¥3.96 / ¥15.8输入/输出
117
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
68.2
21.2K
262K
¥1.8 / ¥14.4输入/输出
117
Ggemma-3-27b-it
gemma-3-27b-itGoogle
68.2
1.7K
110K
¥0.72 / ¥2.16输入/输出
117
Ggemma-3-27b-it
gemma-3-27b-itGoogle
68.2
1.7K
110K
¥0.72 / ¥2.16输入/输出
118
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
67.9
40.1K
2M
¥1.44 / ¥3.6输入/输出
118
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
67.9
1.8K
200K
¥7.92 / ¥31.7输入/输出
118
Ggemma-3-27b-it
gemma-3-27b-itGoogle
67.9
1.7K
110K
¥0.72 / ¥2.16输入/输出
118
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
67.9
8.2K
-
-
118
Anova-2-lite
nova-2-liteAmazon
67.9
8.4K
128K
¥2.38 / ¥19.8输入/输出
118
Mminimax-m2.5
minimax-m2.5Minimax
67.9
30.6K
205K
¥0 / ¥0输入/输出
119
Bernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
67.7
6.7K
128K
¥6.05 / ¥24.3输入/输出
119
Mminimax-m2
minimax-m2Minimax
67.7
4.8K
197K
¥0 / ¥0输入/输出
119
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.7
5.2K
256K
¥1.08 / ¥4.68输入/输出
119
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
67.7
27.2K
131K
¥2.07 / ¥8.26输入/输出
119
UNtrinity-large-thinking
-
67.7
22.3K
131K
¥1.8 / ¥7.2输入/输出
119
UNintellect-3
-
67.7
3.6K
128K
¥1.58 / ¥8.65输入/输出
120
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
67.4
5.2K
256K
¥1.08 / ¥4.68输入/输出
120
Anova-2-lite
nova-2-liteAmazon
67.4
8.4K
128K
¥2.38 / ¥19.8输入/输出
120
Ogpt-oss-120b
gpt-oss-120bOpenai
67.4
5K
128K
¥7.2 / ¥30.2输入/输出
120
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
67.4
7.6K
262K
¥0.72 / ¥2.16输入/输出
120
UNtrinity-large-preview
-
67.4
22.5K
131K
¥1.8 / ¥7.2输入/输出
120
IAmercury-2
mercury-2Inception Ai
67.4
2.2K
128K
¥1.8 / ¥5.4输入/输出
121
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
67.1
4.2K
65.5K
¥1.08 / ¥3.6输入/输出
121
UNintellect-3
-
67.1
3.6K
128K
¥1.58 / ¥8.65输入/输出
121
Anova-2-lite
nova-2-liteAmazon
67.1
8.4K
128K
¥2.38 / ¥19.8输入/输出
121
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
67.1
64.6K
200K
¥7.2 / ¥36输入/输出
121
Mminimax-m1
minimax-m1Minimax
67.1
1.7K
1M
¥3.96 / ¥15.8输入/输出
121
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
67.1
1.8K
200K
¥7.92 / ¥31.7输入/输出
122
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
66.8
5.2K
131K
¥1.04 / ¥4.13输入/输出
122
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
66.8
5.2K
256K
¥1.08 / ¥4.68输入/输出
122
Zglm-4.7-flash
glm-4.7-flashZai
66.8
8.1K
200K
¥0 / ¥0输入/输出
122
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
66.8
12.1K
205K
¥0 / ¥0输入/输出
122
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
66.8
1.8K
200K
¥7.92 / ¥31.7输入/输出
122
Zglm-4.7-flash
glm-4.7-flashZai
66.8
8.1K
200K
¥0 / ¥0输入/输出
123
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
66.6
5.9K
200K
¥14.4 / ¥57.6输入/输出
123
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
66.6
7.8K
-
-
123
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
66.6
1.8K
200K
¥7.92 / ¥31.7输入/输出
123
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
66.6
25.3K
128K
¥12.6 / ¥101输入/输出
123
UNintellect-3
-
66.6
3.6K
128K
¥1.58 / ¥8.65输入/输出
123
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
66.6
10.7K
131K
¥0 / ¥0输入/输出
124
Ogpt-oss-120b
gpt-oss-120bOpenai
66.3
5K
128K
¥7.2 / ¥30.2输入/输出
124
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
66.3
17.4K
-
-
124
UNintellect-3
-
66.3
3.6K
128K
¥1.58 / ¥8.65输入/输出
124
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
66.3
16.7K
128K
¥0.72 / ¥2.16输入/输出
124
Zglm-4.7-flash
glm-4.7-flashZai
66.3
8.1K
200K
¥0 / ¥0输入/输出
124
Mminimax-m1
minimax-m1Minimax
66.3
1.7K
1M
¥3.96 / ¥15.8输入/输出
125
Aamazon-nova-experimental-chat-12-10
amazon-nova-experimental-chat-12-10Amazon
66.0
2.4K
-
-
125
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
66.0
8.7K
200K
¥14.4 / ¥57.6输入/输出
125
COcommand-a-03-2025
command-a-03-2025Cohere
66.0
5.3K
256K
¥18 / ¥72输入/输出
125
Zglm-4.5-air
glm-4.5-airZai
66.0
21.9K
131K
¥1.44 / ¥7.92输入/输出
125
IAmercury-2
mercury-2Inception Ai
66.0
2.2K
128K
¥1.8 / ¥5.4输入/输出
125
UNtrinity-large-thinking
-
66.0
22.3K
131K
¥1.8 / ¥7.2输入/输出
126
IAmercury
mercuryInception Ai
65.8
1.4K
128K
¥1.8 / ¥5.4输入/输出
126
IAmercury-2
mercury-2Inception Ai
65.8
2.2K
128K
¥1.8 / ¥5.4输入/输出
126
Mminimax-m2
minimax-m2Minimax
65.8
4.8K
197K
¥0 / ¥0输入/输出
126
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
65.8
36.2K
8.19K
¥216 / ¥432输入/输出
126
Mminimax-m2
minimax-m2Minimax
65.8
4.8K
197K
¥0 / ¥0输入/输出
126
Mminimax-m2
minimax-m2Minimax
65.8
4.8K
197K
¥0 / ¥0输入/输出
127
Xgrok-4.1
grok-4.1Xai
65.5
48K
200K
¥14.4 / ¥72输入/输出
127
Ogpt-oss-120b
gpt-oss-120bOpenai
65.5
5K
128K
¥7.2 / ¥30.2输入/输出
127
IAmercury-2
mercury-2Inception Ai
65.5
2.2K
128K
¥1.8 / ¥5.4输入/输出
127
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
65.5
8.6K
262K
¥4.32 / ¥18输入/输出
127
COcommand-a-03-2025
command-a-03-2025Cohere
65.5
5.3K
256K
¥18 / ¥72输入/输出
127
UNtrinity-large-preview
-
65.5
22.5K
131K
¥1.8 / ¥7.2输入/输出
128
Mmuse-spark
muse-sparkMeta
65.2
10.1K
-
-
128
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
65.2
34.5K
-
-
128
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
65.2
33.1K
1.05M
¥2.16 / ¥18输入/输出
128
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
65.2
10.7K
131K
¥0 / ¥0输入/输出
128
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
65.2
10.7K
131K
¥0 / ¥0输入/输出
128
COcommand-a-03-2025
command-a-03-2025Cohere
65.2
5.3K
256K
¥18 / ¥72输入/输出
129
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
64.9
7.8K
-
-
129
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.9
10.7K
131K
¥0 / ¥0输入/输出
129
TEhunyuan-turbos-20250416
hunyuan-turbos-20250416Tencent
64.9
7.5K
131K
¥0 / ¥0输入/输出
129
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.9
8.7K
200K
¥14.4 / ¥57.6输入/输出
129
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.9
8.7K
200K
¥14.4 / ¥57.6输入/输出
129
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
64.9
8.7K
200K
¥14.4 / ¥57.6输入/输出
130
NVnvidia-nemotron-3-ultra-550b-a55b-nvfp4
nvidia-nemotron-3-ultra-550b-a55b-nvfp4Nvidia
64.7
2.6K
1M
¥3.6 / ¥18输入/输出
130
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.7
4.2K
65.5K
¥1.08 / ¥3.6输入/输出
130
NVnvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
64.7
5.2K
256K
¥1.08 / ¥4.68输入/输出
130
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.7
4.2K
65.5K
¥1.08 / ¥3.6输入/输出
130
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.7
4.2K
65.5K
¥1.08 / ¥3.6输入/输出
130
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
64.7
4.2K
65.5K
¥1.08 / ¥3.6输入/输出
131
Aamazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
64.4
17.4K
-
-
131
IBgranite-4.1-8b
granite-4.1-8bIbm
64.4
3.1K
131K
¥0.36 / ¥0.72输入/输出
131
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
64.4
26.7K
400K
¥1.44 / ¥9输入/输出
131
IBgranite-4.1-8b
granite-4.1-8bIbm
64.4
3.1K
131K
¥0.36 / ¥0.72输入/输出
131
IBgranite-4.1-8b
granite-4.1-8bIbm
64.4
3.1K
131K
¥0.36 / ¥0.72输入/输出
131
IBgranite-4.1-8b
granite-4.1-8bIbm
64.4
3.1K
131K
¥0.36 / ¥0.72输入/输出
132
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
64.1
10.7K
131K
¥0 / ¥0输入/输出
132
Ddeepseek-r1
deepseek-r1Deepseek
64.1
12.5K
164K
¥5.04 / ¥18输入/输出
132
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
64.1
5.9K
200K
¥14.4 / ¥57.6输入/输出
132
IAmercury
mercuryInception Ai
64.1
1.4K
128K
¥1.8 / ¥5.4输入/输出
132
IAmercury
mercuryInception Ai
64.1
1.4K
128K
¥1.8 / ¥5.4输入/输出
132
IAmercury
mercuryInception Ai
64.1
1.4K
128K
¥1.8 / ¥5.4输入/输出
133
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
63.8
31.9K
164K
¥1.94 / ¥8.06输入/输出
133
Bdola-seed-2.0-pro
dola-seed-2.0-proBytedance
63.8
34.5K
-
-
133
IAmercury
mercuryInception Ai
63.8
1.4K
128K
¥1.8 / ¥5.4输入/输出
133
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.8
5.9K
200K
¥14.4 / ¥57.6输入/输出
133
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.8
5.9K
200K
¥14.4 / ¥57.6输入/输出
133
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
63.8
5.9K
200K
¥14.4 / ¥57.6输入/输出
134
Zglm-4.6v
glm-4.6vZai
63.6
2K
128K
¥2.16 / ¥6.48输入/输出
135
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
63.3
27K
200K
¥108 / ¥540输入/输出
136
Ogpt-5-mini-high
gpt-5-mini-highOpenai
63.0
19.7K
400K
¥1.8 / ¥14.4输入/输出
137
MAmistral-medium-2505
mistral-medium-2505Mistral
62.7
23.1K
262K
¥2.88 / ¥14.4输入/输出
138
Mkimi-k2-0711-preview
kimi-k2-0711-previewMoonshot
62.5
20K
131K
¥4.32 / ¥18输入/输出
139
Aqwen2.5-max
qwen2.5-maxAlibaba
62.2
22K
32K
¥11.5 / ¥46输入/输出
140
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
61.9
23.2K
1.05M
¥2.16 / ¥18输入/输出
141
Oo1-2024-12-17
o1-2024-12-17Openai
61.6
19.2K
200K
¥108 / ¥432输入/输出
142
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
61.4
9.8K
131K
¥1.04 / ¥10.3输入/输出
143
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
61.1
18.1K
131K
¥2.07 / ¥8.26输入/输出
144
Xgrok-3-mini-high
grok-3-mini-highXai
60.8
12.1K
128K
¥0 / ¥0输入/输出
145
Ogpt-oss-120b
gpt-oss-120bOpenai
60.5
21.8K
128K
¥7.2 / ¥30.2输入/输出
146
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
60.3
32.1K
200K
¥108 / ¥540输入/输出
147
Aamazon-nova-experimental-chat-10-09
amazon-nova-experimental-chat-10-09Amazon
60.0
2K
-
-
148
Xgrok-3-mini-beta
grok-3-mini-betaXai
59.7
16K
128K
¥0 / ¥0输入/输出
149
Anova-2-lite
nova-2-liteAmazon
59.5
8.8K
128K
¥2.38 / ¥19.8输入/输出
150
Mminimax-m2.5
minimax-m2.5Minimax
59.2
31.1K
205K
¥0 / ¥0输入/输出
151
AG
ling-flash-2.0
ling-flash-2.0Ant Group
58.9
5K
131K
¥1.01 / ¥4.1输入/输出
152
Ggemma-3-27b-it
gemma-3-27b-itGoogle
58.6
33.4K
110K
¥0.72 / ¥2.16输入/输出
153
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
58.4
18.4K
262K
¥6.2 / ¥24.8输入/输出
154
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
58.1
30.1K
1.05M
¥0.72 / ¥2.88输入/输出
155
UNintellect-3
-
57.8
3.8K
128K
¥1.58 / ¥8.65输入/输出
156
Oo1-preview
o1-previewOpenai
57.5
21.5K
200K
¥108 / ¥432输入/输出
157
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
57.3
32.2K
200K
¥7.92 / ¥31.7输入/输出
158
IAmercury-2
mercury-2Inception Ai
57.0
2.2K
128K
¥1.8 / ¥5.4输入/输出
159
Zglm-4.7-flash
glm-4.7-flashZai
56.7
8.1K
200K
¥0 / ¥0输入/输出
160
STstep-3
step-3Stepfun
56.4
4.7K
256K
¥0.69 / ¥2.07输入/输出
161
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
56.2
25.8K
200K
¥21.6 / ¥108输入/输出
162
UNtrinity-large-thinking
-
55.9
22.7K
131K
¥1.8 / ¥7.2输入/输出
163
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
55.6
11K
131K
¥0 / ¥0输入/输出
164
Mminimax-m2
minimax-m2Minimax
55.3
5K
197K
¥0 / ¥0输入/输出
165
Mminimax-m1
minimax-m1Minimax
55.1
24.8K
1M
¥3.96 / ¥15.8输入/输出
166
UNtrinity-large-preview
-
54.8
22.8K
131K
¥1.8 / ¥7.2输入/输出
167
Aqwen3-32b
qwen3-32bAlibaba
54.5
2.5K
131K
¥2.07 / ¥8.26输入/输出
168
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
54.2
27.9K
8.19K
¥216 / ¥432输入/输出
169
MAmistral-small-2506
mistral-small-2506Mistral
54.0
12.4K
262K
¥2.88 / ¥14.4输入/输出
170
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
53.7
29.5K
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
2.3K
131K
¥2.88 / ¥2.88输入/输出
172
Oo3-mini-high
o3-mini-highOpenai
53.2
12.7K
200K
¥7.92 / ¥31.7输入/输出
173
Ggemma-3-12b-it
gemma-3-12b-itGoogle
52.9
2.5K
128K
¥2.52 / ¥4.03输入/输出
174
Ddeepseek-v3
deepseek-v3Deepseek
52.6
14.1K
65.5K
¥2.07 / ¥8.26输入/输出
175
STstep-1o-turbo-202506
step-1o-turbo-202506Stepfun
52.3
6.5K
-
-
176
Zglm-4.5v
glm-4.5vZai
52.1
3.5K
64K
¥4.32 / ¥13输入/输出
177
Zglm-4-plus-0111
glm-4-plus-0111Zai
51.8
3.8K
128K
¥72 / ¥72输入/输出
178
AGring-flash-2.0
ring-flash-2.0Ant Group
51.5
5.1K
131K
¥1.01 / ¥4.1输入/输出
179
COcommand-a-03-2025
command-a-03-2025Cohere
51.2
38.9K
256K
¥18 / ¥72输入/输出
180
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
51.0
16.3K
1.05M
¥0.72 / ¥2.88输入/输出
181
Aqwen-plus-0125
qwen-plus-0125Alibaba
50.7
3.8K
1M
¥0.83 / ¥2.07输入/输出
182
Aqwq-32b
qwq-32bAlibaba
50.4
17.3K
131K
¥2.07 / ¥6.2输入/输出
183
STstep-2-16k-exp-202412
step-2-16k-exp-202412Stepfun
50.1
3K
16.4K
¥37.5 / ¥118输入/输出
184
Ogpt-5-nano-high
gpt-5-nano-highOpenai
49.9
6K
400K
¥0.36 / ¥2.88输入/输出
185
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
49.6
36K
-
-
186
TEhunyuan-turbos-20250226
hunyuan-turbos-20250226Tencent
49.3
1.4K
131K
¥0 / ¥0输入/输出
187
Oo3-mini
o3-miniOpenai
49.0
40.1K
200K
¥7.92 / ¥31.7输入/输出
188
NVllama-3.1-nemotron-ultra-253b-v1
llama-3.1-nemotron-ultra-253b-v1Nvidia
48.8
1.7K
128K
¥4.32 / ¥13输入/输出
189
Oo1-mini
o1-miniOpenai
48.5
34.4K
200K
¥108 / ¥432输入/输出
190
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
48.2
28.7K
-
-
191
Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
47.9
18.3K
41K
¥0.86 / ¥3.6输入/输出
192
NVllama-3.3-nemotron-49b-super-v1
llama-3.3-nemotron-49b-super-v1Nvidia
47.7
1.4K
131K
¥2.88 / ¥2.88输入/输出
193
AIolmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
47.4
8.7K
200K
¥14.4 / ¥57.6输入/输出
194
TEhunyuan-turbo-0110
hunyuan-turbo-0110Tencent
47.1
1.4K
-
-
195
Ggemma-3n-e4b-it
gemma-3n-e4b-itGoogle
46.8
16K
128K
¥0 / ¥0输入/输出
196
Xgrok-2-2024-08-13
grok-2-2024-08-13Xai
46.6
40.8K
1M
¥9 / ¥18输入/输出
197
UNyi-lightning
-
46.3
17.5K
12K
¥1.44 / ¥1.44输入/输出
198
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
46.0
31.7K
200K
¥21.6 / ¥108输入/输出
199
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
45.8
74.3K
128K
¥36 / ¥108输入/输出
200
AIolmo-3-32b-think
olmo-3-32b-thinkAllenai
45.5
4.3K
65.5K
¥1.08 / ¥3.6输入/输出
201
Aqwen2.5-plus-1127
qwen2.5-plus-1127Alibaba
45.2
6.4K
-
-
202
IBgranite-4.1-8b
granite-4.1-8bIbm
44.9
3.1K
131K
¥0.36 / ¥0.72输入/输出
203
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
44.7
62K
200K
¥21.6 / ¥108输入/输出
204
Ddeepseek-v2.5-1210
deepseek-v2.5-1210Deepseek
44.4
4.2K
1M
¥1.01 / ¥2.02输入/输出
205
AImolmo-2-8b
molmo-2-8bAllenai
44.1
581
-
-
206
UNathene-v2-chat
-
43.8
15.4K
-
-
207
Ogpt-oss-20b
gpt-oss-20bOpenai
43.6
7.8K
128K
¥2.88 / ¥13输入/输出
208
Zglm-4-plus
glm-4-plusZai
43.3
16.4K
128K
¥54 / ¥54输入/输出
209
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
43.0
28.5K
1M
¥1.8 / ¥6.26输入/输出
210
Ggemma-3-4b-it
gemma-3-4b-itGoogle
42.7
2.8K
128K
¥0.29 / ¥0.58输入/输出
211
TEhunyuan-large-2025-02-10
hunyuan-large-2025-02-10Tencent
42.5
2.5K
-
-
212
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
42.2
43.4K
128K
¥18 / ¥72输入/输出
213
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
41.9
22.5K
2M
¥0.54 / ¥2.2输入/输出
214
IAmercury
mercuryInception Ai
41.6
1.4K
128K
¥1.8 / ¥5.4输入/输出
215
Mllama-3.1-405b-instruct-bf16
llama-3.1-405b-instruct-bf16Meta
41.4
27.1K
128K
¥0 / ¥0输入/输出
216
NVllama-3.1-nemotron-70b-instruct
llama-3.1-nemotron-70b-instructNvidia
41.1
4.7K
128K
¥0 / ¥0输入/输出
217
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
40.8
4K
8.19K
¥216 / ¥432输入/输出
218
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
40.5
21.8K
131K
¥1.94 / ¥6.12输入/输出
219
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
40.3
28.5K
128K
¥18 / ¥72输入/输出
220
Mllama-3.1-405b-instruct-fp8
llama-3.1-405b-instruct-fp8Meta
40.0
38.1K
128K
¥0 / ¥0输入/输出
221
Xgrok-2-mini-2024-08-13
grok-2-mini-2024-08-13Xai
39.7
33.2K
1M
¥9 / ¥18输入/输出
222
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
39.5
55.1K
200K
¥21.6 / ¥108输入/输出
223
Aqwen-max-0919
qwen-max-0919Alibaba
39.2
10.3K
131K
¥2.48 / ¥9.91输入/输出
224
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
38.9
23.7K
262K
¥2.88 / ¥14.4输入/输出
225
Ggemini-advanced-0514
gemini-advanced-0514Google
38.6
34.1K
-
-
226
Mllama-3.3-70b-instruct
llama-3.3-70b-instructMeta
38.4
36.9K
128K
¥0 / ¥0输入/输出
227
TEhunyuan-standard-2025-02-10
hunyuan-standard-2025-02-10Tencent
38.1
2.6K
-
-
228
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
37.8
52.5K
-
-
229
Ddeepseek-v2.5
deepseek-v2.5Deepseek
37.5
15.3K
1M
¥1.01 / ¥2.02输入/输出
230
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
37.3
65.1K
8.19K
¥216 / ¥432输入/输出
231
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
37.0
24.4K
131K
¥4.13 / ¥12.4输入/输出
232
UNathene-70b-0725
-
36.7
12.3K
-
-
233
TEhunyuan-large-vision
hunyuan-large-visionTencent
36.4
4K
-
-
234
AIolmo-3.1-32b-think
olmo-3.1-32b-thinkAllenai
36.2
6.1K
200K
¥14.4 / ¥57.6输入/输出
235
MAmistral-large-2407
mistral-large-2407Mistral
35.9
28.3K
131K
¥14.4 / ¥43.2输入/输出
236
MAmistral-large-2411
mistral-large-2411Mistral
35.6
18K
262K
¥3.6 / ¥10.8输入/输出
237
MAmagistral-medium-2506
magistral-medium-2506Mistral
35.3
8.8K
128K
¥14.4 / ¥36输入/输出
238
Mllama-3.1-70b-instruct
llama-3.1-70b-instructMeta
35.1
34.8K
128K
¥5.18 / ¥5.18输入/输出
239
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
34.8
133.3K
200K
¥108 / ¥540输入/输出
240
Ogpt-4-1106-preview
gpt-4-1106-previewOpenai
34.5
69K
8.19K
¥216 / ¥432输入/输出
241
Ogpt-4-0125-preview
gpt-4-0125-previewOpenai
34.2
63.5K
8.19K
¥216 / ¥432输入/输出
242
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
34.0
49.3K
200K
¥5.76 / ¥28.8输入/输出
243
AIllama-3.1-tulu-3-70b
llama-3.1-tulu-3-70bAllenai
33.7
1.7K
-
-
244
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
33.4
15.6K
300K
¥5.76 / ¥23输入/输出
245
UNreka-core-20240904
-
33.2
4.5K
-
-
246
IBibm-granite-h-small
ibm-granite-h-smallIbm
32.9
4.2K
-
-
247
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
32.6
40.5K
2M
¥0.54 / ¥2.2输入/输出
248
UNjamba-1.5-large
-
32.3
5.5K
256K
¥0 / ¥0输入/输出
249
MAmistral-small-24b-instruct-2501
mistral-small-24b-instruct-2501Mistral
32.1
9.6K
262K
¥2.88 / ¥14.4输入/输出
250
Ggemma-2-27b-it
gemma-2-27b-itGoogle
31.8
48K
8.19K
¥0.58 / ¥0.58输入/输出
251
Aqwen2.5-coder-32b-instruct
qwen2.5-coder-32b-instructAlibaba
31.5
3.4K
131K
¥2.07 / ¥6.2输入/输出
252
COcommand-r-plus-08-2024
command-r-plus-08-2024Cohere
31.2
6.2K
128K
¥1.08 / ¥4.32输入/输出
253
Zglm-4-0520
glm-4-0520Zai
31.0
6.2K
128K
¥108 / ¥108输入/输出
254
UNgemma-2-9b-it-simpo
-
30.7
6.3K
8.19K
¥0.58 / ¥0.58输入/输出
255
NVllama-3.1-nemotron-51b-instruct
llama-3.1-nemotron-51b-instructNvidia
30.4
2.4K
128K
¥0 / ¥0输入/输出
256
NVnemotron-4-340b-instruct
nemotron-4-340b-instructNvidia
30.1
12.7K
-
-
257
Aamazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
29.9
12.3K
300K
¥0.43 / ¥1.73输入/输出
258
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
29.6
22.7K
2M
¥0.54 / ¥2.2输入/输出
259
Mllama-3-70b-instruct
llama-3-70b-instructMeta
29.3
103.8K
8.19K
¥3.67 / ¥5.33输入/输出
260
COc4ai-aya-expanse-32b
c4ai-aya-expanse-32bCohere
29.0
17.1K
-
-
261
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
28.8
73.6K
200K
¥21.6 / ¥108输入/输出
262
AIolmo-2-0325-32b-instruct
olmo-2-0325-32b-instructAllenai
28.5
2.3K
-
-
263
UNreka-flash-20240904
-
28.2
4.6K
65.5K
¥0.72 / ¥1.44输入/输出
264
M
phi-4
phi-4Microsoft
27.9
15.8K
128K
¥0.9 / ¥3.6输入/输出
265
COcommand-r-plus
command-r-plusCohere
27.7
51.3K
128K
¥1.08 / ¥4.32输入/输出
266
Ggemma-2-9b-it
gemma-2-9b-itGoogle
27.4
34.7K
-
-
267
Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
27.1
23.8K
131K
¥4.13 / ¥12.4输入/输出
268
Ogpt-4-0314
gpt-4-0314Openai
26.8
37.2K
8.19K
¥216 / ¥432输入/输出
269
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
26.6
12.4K
128K
¥0.25 / ¥1.01输入/输出
270
TEhunyuan-standard-256k
hunyuan-standard-256kTencent
26.3
1.8K
-
-
271
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
26.0
77.6K
200K
¥1.8 / ¥9输入/输出
272
Ddeepseek-coder-v2
deepseek-coder-v2Deepseek
25.8
9.9K
1M
¥1.01 / ¥2.02输入/输出
273
MAministral-8b-2410
ministral-8b-2410Mistral
25.5
3K
128K
¥0.72 / ¥0.72输入/输出
274
AIllama-3.1-tulu-3-8b
llama-3.1-tulu-3-8bAllenai
25.2
1.8K
-
-
275
Ogpt-4-0613
gpt-4-0613Openai
24.9
60.7K
8.19K
¥216 / ¥432输入/输出
276
UNjamba-1.5-mini
-
24.7
5.6K
256K
¥0 / ¥0输入/输出
277
COcommand-r-08-2024
command-r-08-2024Cohere
24.4
6.4K
128K
¥1.08 / ¥4.32输入/输出
278
Mllama-3.1-8b-instruct
llama-3.1-8b-instructMeta
24.1
31.7K
120K
¥0.36 / ¥1.8输入/输出
279
COc4ai-aya-expanse-8b
c4ai-aya-expanse-8bCohere
23.8
6.3K
-
-
280
MAmistral-large-2402
mistral-large-2402Mistral
23.6
41.8K
262K
¥3.6 / ¥10.8输入/输出
281
Aqwen1.5-110b-chat
qwen1.5-110b-chatAlibaba
23.3
16.5K
-
-
282
UNyi-1.5-34b-chat
-
23.0
15.3K
-
-
283
UNreka-flash-21b-20240226-online
-
22.7
10.1K
-
-
284
Aqwen1.5-72b-chat
qwen1.5-72b-chatAlibaba
22.5
25.9K
-
-
285
UNreka-flash-21b-20240226
-
22.2
16.1K
-
-
286
MAmistral-medium
mistral-mediumMistral
21.9
23.6K
262K
¥2.88 / ¥14.4输入/输出
287
Mllama-3-8b-instruct
llama-3-8b-instructMeta
21.6
67.7K
8.19K
¥0.29 / ¥0.29输入/输出
288
COcommand-r
command-rCohere
21.4
35.7K
128K
¥1.08 / ¥4.32输入/输出
289
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
21.1
33.7K
64K
¥14.4 / ¥43.2输入/输出
290
Aqwq-32b-preview
qwq-32b-previewAlibaba
20.8
2.2K
131K
¥2.07 / ¥6.2输入/输出
291
UNinternlm2_5-20b-chat
-
20.5
6.4K
-
-
292
Ggemini-pro-dev-api
gemini-pro-dev-apiGoogle
20.3
13K
1.05M
¥14.4 / ¥86.4输入/输出
293
Ggemma-2-2b-it
gemma-2-2b-itGoogle
20.0
30.7K
128K
¥0 / ¥0输入/输出
294
UNzephyr-orpo-141b-A35b-v0.1
-
19.7
3.2K
200K
¥108 / ¥432输入/输出
295
IBgranite-3.1-8b-instruct
granite-3.1-8b-instructIbm
19.5
2.1K
-
-
296
Aqwen1.5-32b-chat
qwen1.5-32b-chatAlibaba
19.2
14.2K
-
-
297
UNstarling-lm-7b-beta
-
18.9
10.7K
200K
¥5.4 / ¥18.7输入/输出
298
Mphi-3-medium-4k-instruct
phi-3-medium-4k-instructMicrosoft
18.6
15.9K
4.1K
¥1.22 / ¥4.9输入/输出
299
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
18.4
49K
32K
¥3.15 / ¥4.9输入/输出
300
Ggemini-pro
gemini-proGoogle
18.1
4.5K
1.05M
¥14.4 / ¥86.4输入/输出
301
UNyi-34b-chat
-
17.8
10.4K
-
-
302
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
17.5
11.5K
-
-
303
Ogpt-3.5-turbo-0125
gpt-3.5-turbo-0125Openai
17.3
44.4K
16.4K
¥3.6 / ¥10.8输入/输出
304
Mwizardlm-70b
wizardlm-70bMicrosoft
17.0
5.7K
-
-
305
UNtulu-2-dpo-70b
-
16.7
4.4K
-
-
306
UNdbrx-instruct-preview
-
16.4
21.4K
-
-
307
Mllama-2-70b-chat
llama-2-70b-chatMeta
16.2
25.5K
-
-
308
UNnous-hermes-2-mixtral-8x7b-dpo
-
15.9
2.6K
32K
¥5.04 / ¥5.04输入/输出
309
IBgranite-3.1-2b-instruct
granite-3.1-2b-instructIbm
15.6
2.2K
-
-
310
UNstarling-lm-7b-alpha
-
15.3
6.7K
200K
¥5.4 / ¥18.7输入/输出
311
UNvicuna-33b
-
15.1
15.3K
-
-
312
UNopenchat-3.5-0106
-
14.8
8.1K
-
-
313
Ddeepseek-llm-67b-chat
deepseek-llm-67b-chatDeepseek
14.5
3.4K
1M
¥1.01 / ¥2.02输入/输出
314
Mphi-3-small-8k-instruct
phi-3-small-8k-instructMicrosoft
14.2
11.2K
8.19K
¥1.08 / ¥4.32输入/输出
315
Mllama-3.2-3b-instruct
llama-3.2-3b-instructMeta
14.0
5.4K
128K
¥1.08 / ¥1.08输入/输出
316
NVllama2-70b-steerlm-chat
llama2-70b-steerlm-chatNvidia
13.7
2.5K
-
-
317
UNopenchat-3.5
-
13.4
5.3K
-
-
318
UNsnowflake-arctic-instruct
-
13.2
21.5K
-
-
319
UNopenhermes-2.5-mistral-7b
-
12.9
3.3K
256K
¥10.8 / ¥54输入/输出
320
Ogpt-3.5-turbo-1106
gpt-3.5-turbo-1106Openai
12.6
11.5K
16.4K
¥3.6 / ¥10.8输入/输出
321
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
12.3
15.5K
-
-
322
MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
12.1
12.7K
8K
¥1.8 / ¥1.8输入/输出
323
IBgranite-3.0-8b-instruct
granite-3.0-8b-instructIbm
11.8
4.7K
-
-
324
Mllama-2-13b-chat
llama-2-13b-chatMeta
11.5
12.7K
-
-
325
UNsolar-10.7b-instruct-v1.0
-
11.2
2.8K
128K
¥0 / ¥0输入/输出
326
Aqwen1.5-7b-chat
qwen1.5-7b-chatAlibaba
11.0
3.1K
-
-
327
UNdolphin-2.2.1-mistral-7b
-
10.7
1.1K
256K
¥10.8 / ¥54输入/输出
328
Mwizardlm-13b
wizardlm-13bMicrosoft
10.4
4.8K
-
-
329
UNmpt-30b-chat
-
10.1
1.8K
-
-
330
UNzephyr-7b-beta
-
9.9
7.5K
-
-
331
Mcodellama-34b-instruct
codellama-34b-instructMeta
9.6
5.1K
-
-
332
UNzephyr-7b-alpha
-
9.3
1.2K
-
-
333
Mphi-3-mini-4k-instruct-june-2024
phi-3-mini-4k-instruct-june-2024Microsoft
9.0
8.2K
4.1K
¥0.94 / ¥3.74输入/输出
334
IBgranite-3.0-2b-instruct
granite-3.0-2b-instructIbm
8.8
4.8K
-
-
335
Mcodellama-70b-instruct
codellama-70b-instructMeta
8.5
809
-
-
336
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
8.2
12.9K
4.1K
¥0.94 / ¥3.74输入/输出
337
UNguanaco-33b
-
7.9
2K
200K
¥14.4 / ¥57.6输入/输出
338
UNvicuna-13b
-
7.7
13.2K
-
-
339
UNfalcon-180b-chat
-
7.4
944
-
-
340
Aqwen-14b-chat
qwen-14b-chatAlibaba
7.1
3.3K
32.8K
¥1.04 / ¥3.1输入/输出
341
Ggemma-7b-it
gemma-7b-itGoogle
6.8
6K
-
-
342
Mllama-2-7b-chat
llama-2-7b-chatMeta
6.6
9.2K
128K
¥4.03 / ¥48输入/输出
343
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
6.3
13.8K
128K
¥0.94 / ¥3.74输入/输出
344
UNvicuna-7b
-
6.0
4.8K
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345
UNstripedhyena-nous-7b
-
5.8
3.4K
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346
Gpalm-2
palm-2Google
5.5
6.2K
-
-
347
AIolmo-7b-instruct
olmo-7b-instructAllenai
5.2
4.3K
-
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348
Mllama-3.2-1b-instruct
llama-3.2-1b-instructMeta
4.9
5.6K
128K
¥0.72 / ¥0.72输入/输出
349
MAmistral-7b-instruct
mistral-7b-instructMistral
4.7
6K
8K
¥1.8 / ¥1.8输入/输出
350
UNsmollm2-1.7b-instruct
-
4.4
1.6K
-
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351
Ggemma-1.1-2b-it
gemma-1.1-2b-itGoogle
4.1
7.5K
-
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352
UNkoala-13b
-
3.8
4.7K
-
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353
Ggemma-2b-it
gemma-2b-itGoogle
3.6
3.3K
-
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354
Aqwen1.5-4b-chat
qwen1.5-4b-chatAlibaba
3.3
5.2K
-
-
355
UNchatglm3-6b
-
3.0
3.3K
200K
¥5.4 / ¥18.7输入/输出
356
UNgpt4all-13b-snoozy
-
2.7
1.2K
8.19K
¥216 / ¥432输入/输出
357
UNmpt-7b-chat
-
2.5
2.7K
-
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358
UNRWKV-4-Raven-14B
-
2.2
3.3K
-
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359
UNalpaca-13b
-
1.9
4K
-
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360
UNchatglm2-6b
-
1.6
1.9K
200K
¥5.4 / ¥18.7输入/输出
361
UNoasst-pythia-12b
-
1.4
4.3K
-
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362
UNchatglm-6b
-
1.1
3.3K
200K
¥5.4 / ¥18.7输入/输出
363
UNfastchat-t5-3b
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0.8
2.8K
-
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364
UNstablelm-tuned-alpha-7b
-
0.5
2.2K
-
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365
UNdolly-v2-12b
-
0.3
2.4K
-
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366
Mllama-13b
llama-13bMeta
0.0
1.6K
-
-
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 32.3K。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
排除平局常见问题
排除平局排行榜看什么指标？
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。
排除平局模型应该怎么选？
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