1
A
claude-opus-4-7
claude-opus-4-7Anthropic
100.0
6.8K
1M
¥36 / ¥180Input/Output
Chat · Vision · Overall Leaderboard
Ranking for Vision / Overall, based on public preference data.
Overall model ranking guide
Ranking for Vision / Overall, based on public preference data.
claude-opus-4-7claude-opus-4-7-thinkingclaude-opus-4-6-thinkingclaude-opus-4-6muse-spark
2
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
99.2
6.5K
1M
¥36 / ¥180Input/Output
3
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
98.4
7.1K
1M
¥36 / ¥180Input/Output
4
Aclaude-opus-4-6
claude-opus-4-6Anthropic
97.6
8.5K
1M
¥36 / ¥180Input/Output
5
M
muse-spark
muse-sparkMeta
96.8
4.5K
-
-
6
G
gemini-3-pro
gemini-3-proGoogle
96.0
13.2K
1.05M
¥14.4 / ¥86.4Input/Output
7
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
95.2
16.8K
1.05M
¥14.4 / ¥86.4Input/Output
8
O
gpt-5.4-high
gpt-5.4-highOpenai
94.4
5.9K
1.05M
¥18 / ¥108Input/Output
9
Ogpt-5.5
gpt-5.5Openai
93.6
4.7K
1.05M
¥36 / ¥216Input/Output
10
Ogpt-5.5-high
gpt-5.5-highOpenai
92.8
4.2K
1.05M
¥36 / ¥216Input/Output
11
Ogpt-5.4
gpt-5.4Openai
92.0
5.6K
1.05M
¥18 / ¥108Input/Output
12
Ggemini-3-flash
gemini-3-flashGoogle
91.2
21.2K
1.05M
¥3.6 / ¥21.6Input/Output
13
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
90.4
8.9K
1M
¥21.6 / ¥108Input/Output
14
M
kimi-k2.6
kimi-k2.6Moonshot
89.6
5.6K
262K
¥6.84 / ¥28.8Input/Output
15
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
88.8
8.9K
-
-
16
A
qwen3.7-plus-preview
qwen3.7-plus-previewAlibaba
88.0
3.6K
131K
¥3.6 / ¥21.6Input/Output
17
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
87.2
12.5K
400K
¥12.6 / ¥101Input/Output
18
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
86.4
14.4K
262K
¥4.32 / ¥21.6Input/Output
19
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
85.6
19.3K
1.05M
¥3.6 / ¥21.6Input/Output
20
Z
glm-5v-turbo
glm-5v-turboZai
84.8
7.5K
200K
¥0 / ¥0Input/Output
21
Ggemini-2.5-pro
gemini-2.5-proGoogle
84.0
87.2K
1.05M
¥9 / ¥72Input/Output
22
Ggemma-4-31b
gemma-4-31bGoogle
83.2
17.3K
262K
¥3.24 / ¥7.2Input/Output
23
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
82.4
11.8K
262K
¥3.1 / ¥18.6Input/Output
24
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
81.6
10.7K
262K
¥0.94 / ¥2.88Input/Output
25
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
80.8
9.6K
2M
¥14.4 / ¥43.2Input/Output
26
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
80.0
3.9K
262K
¥4.32 / ¥21.6Input/Output
27
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
79.2
8.9K
2M
¥14.4 / ¥43.2Input/Output
28
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
78.4
4.7K
1M
¥2.16 / ¥18Input/Output
29
Ogpt-5.1-high
gpt-5.1-highOpenai
77.6
9.2K
400K
¥9 / ¥72Input/Output
30
B
ernie-5.0-preview-1220
ernie-5.0-preview-1220Baidu
76.8
3.2K
128K
¥7.92 / ¥14.4Input/Output
31
Ogpt-5.5-instant
gpt-5.5-instantOpenai
76.0
3.6K
400K
¥9 / ¥72Input/Output
32
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
75.2
12.2K
128K
¥2.16 / ¥8.64Input/Output
33
Ogpt-5.2-high
gpt-5.2-highOpenai
74.4
15.2K
400K
¥12.6 / ¥101Input/Output
34
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
73.6
8.6K
400K
¥5.4 / ¥32.4Input/Output
35
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
72.8
23.4K
128K
¥18 / ¥72Input/Output
36
MI
mimo-v2.5
mimo-v2.5Xiaomi
72.0
6.9K
1.05M
¥2.88 / ¥14.4Input/Output
37
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
71.2
14K
1.05M
¥1.8 / ¥10.8Input/Output
38
Xgrok-4.3
grok-4.3Xai
70.4
3.9K
1M
¥9 / ¥18Input/Output
39
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
69.6
10.1K
262K
¥2.88 / ¥23Input/Output
40
Aqwen3.5-27b
qwen3.5-27bAlibaba
68.8
9.4K
262K
¥2.16 / ¥17.3Input/Output
41
Ggemini-2.5-flash
gemini-2.5-flashGoogle
68.0
57.5K
1.05M
¥2.16 / ¥18Input/Output
42
Ogpt-5.1
gpt-5.1Openai
67.2
10.1K
400K
¥9 / ¥72Input/Output
43
Ogpt-5-chat
gpt-5-chatOpenai
66.4
40.8K
400K
¥9 / ¥72Input/Output
44
Ogpt-5.2
gpt-5.2Openai
65.6
16.1K
400K
¥12.6 / ¥101Input/Output
45
MImimo-v2-omni
mimo-v2-omniXiaomi
64.8
7.5K
262K
¥2.88 / ¥14.4Input/Output
46
Oo3-2025-04-16
o3-2025-04-16Openai
64.0
46.7K
200K
¥14.4 / ¥57.6Input/Output
47
Aqwen-vl-max-2025-08-13
qwen-vl-max-2025-08-13Alibaba
63.2
3.2K
131K
¥1.66 / ¥4.13Input/Output
48
Ogpt-5-high
gpt-5-highOpenai
62.4
35.1K
400K
¥9 / ¥72Input/Output
49
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
61.6
42.1K
1.05M
¥14.4 / ¥57.6Input/Output
50
Xgrok-4-0709
grok-4-0709Xai
60.8
32.8K
256K
¥21.6 / ¥108Input/Output
51
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
60.0
2.4K
131K
¥2.06 / ¥8.26Input/Output
52
Ogpt-5-mini-high
gpt-5-mini-highOpenai
59.2
29.6K
400K
¥1.8 / ¥14.4Input/Output
53
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
58.4
4.8K
1.05M
¥0.72 / ¥2.88Input/Output
54
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
57.6
10.6K
2M
¥1.44 / ¥3.6Input/Output
55
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
56.8
8.6K
400K
¥1.44 / ¥9Input/Output
56
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
56.0
2.9K
8.19K
¥216 / ¥432Input/Output
57
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
55.2
42.4K
200K
¥7.92 / ¥31.7Input/Output
58
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
54.4
1.2K
200K
¥21.6 / ¥108Input/Output
59
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
53.6
1.3K
200K
¥108 / ¥540Input/Output
60
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
52.8
36.9K
65.5K
¥0.72 / ¥2.88Input/Output
61
ST
step-1o-turbo-202506
step-1o-turbo-202506Stepfun
52.0
1.9K
-
-
62
TE
hunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
51.2
2.4K
-
-
63
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
50.4
41.4K
1.05M
¥2.88 / ¥11.5Input/Output
64
TEhunyuan-large-vision
hunyuan-large-visionTencent
49.6
1.3K
-
-
65
STstep-3
step-3Stepfun
48.8
3.3K
65.5K
¥1.8 / ¥4.68Input/Output
66
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
48.0
2.2K
200K
¥108 / ¥540Input/Output
67
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
47.2
1.9K
200K
¥21.6 / ¥108Input/Output
68
MA
mistral-medium-2508
mistral-medium-2508Mistral
46.4
42.2K
262K
¥2.88 / ¥14.4Input/Output
69
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
45.6
1.5K
-
-
70
Oo1-2024-12-17
o1-2024-12-17Openai
44.8
3.7K
128K
¥108 / ¥432Input/Output
71
Zglm-4.6v
glm-4.6vZai
44.0
2.3K
128K
¥2.16 / ¥6.48Input/Output
72
Ggemma-3-27b-it
gemma-3-27b-itGoogle
43.2
17.4K
128K
¥2.15 / ¥2.15Input/Output
73
Ogpt-5-nano-high
gpt-5-nano-highOpenai
42.4
4K
400K
¥0.36 / ¥2.88Input/Output
74
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
41.6
8.9K
-
-
75
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
40.8
10.2K
1.05M
¥1.08 / ¥4.32Input/Output
76
MAmistral-medium-2505
mistral-medium-2505Mistral
40.0
11K
262K
¥2.88 / ¥14.4Input/Output
77
Zglm-4.5v
glm-4.5vZai
39.2
3.3K
64K
¥4.32 / ¥13Input/Output
78
Aqwen2.5-vl-32b-instruct
qwen2.5-vl-32b-instructAlibaba
38.4
1.5K
16.4K
¥0.39 / ¥1.57Input/Output
79
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
37.6
4.6K
200K
¥21.6 / ¥108Input/Output
80
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
36.8
7.1K
1M
¥1.8 / ¥6.26Input/Output
81
MAmistral-small-2506
mistral-small-2506Mistral
36.0
11.2K
262K
¥2.88 / ¥14.4Input/Output
82
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
35.2
7.2K
2M
¥0.54 / ¥2.2Input/Output
83
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
34.4
29.4K
262K
¥2.88 / ¥14.4Input/Output
84
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
33.6
23.3K
128K
¥36 / ¥108Input/Output
85
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
32.8
10.4K
200K
¥21.6 / ¥108Input/Output
86
STstep-1o-vision-32k-highres
step-1o-vision-32k-highresStepfun
32.0
2.8K
-
-
87
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
31.2
21.6K
200K
¥21.6 / ¥108Input/Output
88
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
30.4
6.6K
128K
¥1.44 / ¥5.62Input/Output
89
Aqwen2.5-vl-72b-instruct
qwen2.5-vl-72b-instructAlibaba
29.6
3.8K
131K
¥16.5 / ¥49.5Input/Output
90
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
28.8
4K
1.05M
¥0.54 / ¥2.16Input/Output
91
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
28.0
1.4K
200K
¥5.76 / ¥28.8Input/Output
92
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
27.2
13.4K
128K
¥72 / ¥216Input/Output
93
MApixtral-large-2411
pixtral-large-2411Mistral
26.4
5.4K
128K
¥14.4 / ¥43.2Input/Output
94
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
25.6
16.7K
-
-
95
AI
molmo-2-8b
molmo-2-8bAllenai
24.8
1.2K
-
-
96
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
24.0
17.3K
128K
¥1.08 / ¥4.32Input/Output
97
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
23.2
3.4K
128K
¥18 / ¥72Input/Output
98
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
22.4
1.2K
1.05M
¥14.4 / ¥57.6Input/Output
99
Aqwen-vl-max-1119
qwen-vl-max-1119Alibaba
21.6
1.4K
131K
¥1.66 / ¥4.13Input/Output
100
Aqwen2-vl-72b
qwen2-vl-72bAlibaba
20.8
5.9K
-
-
101
STstep-1v-32k
step-1v-32kStepfun
20.0
1.5K
32.8K
¥14.8 / ¥69Input/Output
102
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
19.2
6.2K
2M
¥0.54 / ¥2.2Input/Output
103
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
18.4
15.6K
200K
¥108 / ¥540Input/Output
104
AImolmo-72b-0924
molmo-72b-0924Allenai
17.6
3K
-
-
105
MApixtral-12b-2409
pixtral-12b-2409Mistral
16.8
7.5K
128K
¥1.08 / ¥1.08Input/Output
106
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
16.0
13.3K
2M
¥0.54 / ¥2.2Input/Output
107
UNinternvl2-26b
-
15.2
5.1K
-
-
108
Mllama-3.2-vision-90b-instruct
llama-3.2-vision-90b-instructMeta
14.4
8.7K
131K
¥2.48 / ¥2.48Input/Output
109
TEhunyuan-standard-vision-2024-12-31
hunyuan-standard-vision-2024-12-31Tencent
13.6
809
-
-
110
CO
c4ai-aya-vision-32b
c4ai-aya-vision-32bCohere
12.8
847
-
-
111
A
amazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
12.0
1.9K
300K
¥0.43 / ¥1.73Input/Output
112
Aqwen2-vl-7b-instruct
qwen2-vl-7b-instructAlibaba
11.2
5.8K
131K
¥2.07 / ¥5.16Input/Output
113
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
10.4
12.3K
200K
¥21.6 / ¥108Input/Output
114
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
9.6
2.3K
300K
¥5.76 / ¥23Input/Output
115
UNyi-vision
-
8.8
1.2K
-
-
116
Mllama-3.2-vision-11b-instruct
llama-3.2-vision-11b-instructMeta
8.0
4.8K
131K
¥2.48 / ¥2.48Input/Output
117
AImolmo-7b-d-0924
molmo-7b-d-0924Allenai
7.2
2.8K
-
-
118
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
6.4
13.4K
200K
¥1.8 / ¥9Input/Output
119
UNinternvl2-4b
-
5.6
3.7K
-
-
120
NV
nvila-internal-15b-v1
nvila-internal-15b-v1Nvidia
4.8
1.1K
-
-
121
UNllava-v1.6-34b
-
4.0
4.5K
-
-
122
Zcogvlm2-llama3-chat-19b
cogvlm2-llama3-chat-19bZai
3.2
2K
-
-
123
UNllava-onevision-qwen2-72b-ov
-
2.4
1.3K
-
-
124
UNminicpm-v-2_6
-
1.6
2K
-
-
125
M
phi-3.5-vision-instruct
phi-3.5-vision-instructMicrosoft
0.8
2.6K
128K
¥1.15 / ¥4.61Input/Output
126
Mphi-3-vision-128k-instruct
phi-3-vision-128k-instructMicrosoft
0.0
1.4K
128K
¥1.08 / ¥4.32Input/Output
claude-opus-4-7 why it ranks first
claude-opus-4-7 ranks first with a percent score of 100.0 and 6.8K samples. Use it as the first option for this leaderboard, then compare price, context and availability.
Do not only look at rank #1
Start with the leaderboard closest to your task. Compare the top models by score and sample size, then check price, context length, open or closed access, and provider availability.
Compare adjacent capabilities
FAQ
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。