1
A
claude-opus-4-7
claude-opus-4-7Anthropic
100.0
3K
1M
¥36 / ¥180Input/Output
Chat · Vision · English Leaderboard
Ranking for Vision / English, based on public preference data.
English model ranking guide
Ranking for Vision / English, based on public preference data.
claude-opus-4-7claude-opus-4-6-thinkingclaude-opus-4-7-thinkingclaude-opus-4-6muse-spark
2
Aclaude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
99.2
3.1K
1M
¥36 / ¥180Input/Output
3
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.4
3K
1M
¥36 / ¥180Input/Output
4
Aclaude-opus-4-6
claude-opus-4-6Anthropic
97.6
3.7K
1M
¥36 / ¥180Input/Output
5
M
muse-spark
muse-sparkMeta
96.8
1.9K
-
-
6
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
96.0
3.8K
1M
¥21.6 / ¥108Input/Output
7
G
gemini-3-pro
gemini-3-proGoogle
95.2
5.4K
1.05M
¥14.4 / ¥86.4Input/Output
8
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
94.4
3.5K
-
-
9
O
gpt-5.5
gpt-5.5Openai
93.6
2K
1.05M
¥36 / ¥216Input/Output
10
Ggemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
92.8
6.8K
1.05M
¥14.4 / ¥86.4Input/Output
11
Ogpt-5.4-high
gpt-5.4-highOpenai
92.0
2.5K
1.05M
¥18 / ¥108Input/Output
12
Ogpt-5.4
gpt-5.4Openai
91.2
2.4K
1.05M
¥18 / ¥108Input/Output
13
M
kimi-k2.6
kimi-k2.6Moonshot
90.4
2.3K
262K
¥6.84 / ¥28.8Input/Output
14
Ogpt-5.5-high
gpt-5.5-highOpenai
89.6
1.8K
1.05M
¥36 / ¥216Input/Output
15
Ggemini-3-flash
gemini-3-flashGoogle
88.8
8.8K
1.05M
¥3.6 / ¥21.6Input/Output
16
Mkimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
88.0
5.9K
262K
¥4.32 / ¥21.6Input/Output
17
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
87.2
5.1K
400K
¥12.6 / ¥101Input/Output
18
Z
glm-5v-turbo
glm-5v-turboZai
86.4
3.3K
200K
¥0 / ¥0Input/Output
19
A
qwen3.7-plus-preview
qwen3.7-plus-previewAlibaba
85.6
1.6K
131K
¥3.6 / ¥21.6Input/Output
20
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
84.8
4.9K
262K
¥3.1 / ¥18.6Input/Output
21
Ggemini-2.5-pro
gemini-2.5-proGoogle
84.0
41.7K
1.05M
¥9 / ¥72Input/Output
22
X
grok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
83.2
3.9K
2M
¥14.4 / ¥43.2Input/Output
23
Ggemma-4-31b
gemma-4-31bGoogle
82.4
7.1K
262K
¥3.24 / ¥7.2Input/Output
24
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
81.6
1.6K
262K
¥4.32 / ¥21.6Input/Output
25
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
80.8
2.1K
1M
¥2.16 / ¥18Input/Output
26
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
80.0
8.1K
1.05M
¥3.6 / ¥21.6Input/Output
27
Ogpt-5.5-instant
gpt-5.5-instantOpenai
79.2
1.6K
400K
¥9 / ¥72Input/Output
28
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
78.4
3.7K
2M
¥14.4 / ¥43.2Input/Output
29
Ogpt-5.1-high
gpt-5.1-highOpenai
77.6
3.9K
400K
¥9 / ¥72Input/Output
30
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
76.8
5.1K
128K
¥2.16 / ¥8.64Input/Output
31
B
ernie-5.0-preview-1220
ernie-5.0-preview-1220Baidu
76.0
1.3K
128K
¥7.92 / ¥14.4Input/Output
32
Ggemma-4-26b-a4b
gemma-4-26b-a4bGoogle
75.2
4.4K
262K
¥0.94 / ¥2.88Input/Output
33
MI
mimo-v2.5
mimo-v2.5Xiaomi
74.4
2.8K
1.05M
¥2.88 / ¥14.4Input/Output
34
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
73.6
3.6K
400K
¥5.4 / ¥32.4Input/Output
35
Ogpt-5.2-high
gpt-5.2-highOpenai
72.8
6.3K
400K
¥12.6 / ¥101Input/Output
36
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
72.0
11.1K
128K
¥18 / ¥72Input/Output
37
Aqwen3.5-27b
qwen3.5-27bAlibaba
71.2
3.9K
262K
¥2.16 / ¥17.3Input/Output
38
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
70.4
4.2K
262K
¥2.88 / ¥23Input/Output
39
Ggemini-2.5-flash
gemini-2.5-flashGoogle
69.6
25.8K
1.05M
¥2.16 / ¥18Input/Output
40
MImimo-v2-omni
mimo-v2-omniXiaomi
68.8
3.1K
262K
¥2.88 / ¥14.4Input/Output
41
Xgrok-4.3
grok-4.3Xai
68.0
1.7K
1M
¥9 / ¥18Input/Output
42
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
67.2
5.7K
1.05M
¥1.8 / ¥10.8Input/Output
43
Ogpt-5-chat
gpt-5-chatOpenai
66.4
19.7K
400K
¥9 / ¥72Input/Output
44
Ogpt-5.1
gpt-5.1Openai
65.6
4.1K
400K
¥9 / ¥72Input/Output
45
Ogpt-5.2
gpt-5.2Openai
64.8
6.6K
400K
¥12.6 / ¥101Input/Output
46
Aqwen-vl-max-2025-08-13
qwen-vl-max-2025-08-13Alibaba
64.0
1.6K
131K
¥1.66 / ¥4.13Input/Output
47
Oo3-2025-04-16
o3-2025-04-16Openai
63.2
22.9K
200K
¥14.4 / ¥57.6Input/Output
48
Ogpt-5-high
gpt-5-highOpenai
62.4
16.9K
400K
¥9 / ¥72Input/Output
49
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
61.6
1.1K
131K
¥2.06 / ¥8.26Input/Output
50
Xgrok-4-0709
grok-4-0709Xai
60.8
16.1K
256K
¥21.6 / ¥108Input/Output
51
Ogpt-5-mini-high
gpt-5-mini-highOpenai
60.0
14.1K
400K
¥1.8 / ¥14.4Input/Output
52
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
59.2
20.1K
1.05M
¥14.4 / ¥57.6Input/Output
53
ST
step-1o-turbo-202506
step-1o-turbo-202506Stepfun
58.4
931
-
-
54
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
57.6
4.3K
2M
¥1.44 / ¥3.6Input/Output
55
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
56.8
2.2K
1.05M
¥0.72 / ¥2.88Input/Output
56
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
56.0
20.8K
200K
¥7.92 / ¥31.7Input/Output
57
TE
hunyuan-large-vision
hunyuan-large-visionTencent
55.2
646
-
-
58
STstep-3
step-3Stepfun
54.4
1.7K
65.5K
¥1.8 / ¥4.68Input/Output
59
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
53.6
3.5K
400K
¥1.44 / ¥9Input/Output
60
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
52.8
556
200K
¥21.6 / ¥108Input/Output
61
TEhunyuan-vision-1.5-thinking
hunyuan-vision-1.5-thinkingTencent
52.0
1.2K
-
-
62
Ogpt-4.5-preview-2025-02-27
gpt-4.5-preview-2025-02-27Openai
51.2
1.4K
8.19K
¥216 / ¥432Input/Output
63
Ogpt-4.1-mini-2025-04-14
gpt-4.1-mini-2025-04-14Openai
50.4
20.1K
1.05M
¥2.88 / ¥11.5Input/Output
64
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
49.6
17.5K
65.5K
¥0.72 / ¥2.88Input/Output
65
Ggemma-3-27b-it
gemma-3-27b-itGoogle
48.8
8.4K
128K
¥2.15 / ¥2.15Input/Output
66
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
48.0
1K
200K
¥108 / ¥540Input/Output
67
MA
mistral-medium-2508
mistral-medium-2508Mistral
47.2
19.9K
262K
¥2.88 / ¥14.4Input/Output
68
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
46.4
596
200K
¥108 / ¥540Input/Output
69
Zglm-4.5v
glm-4.5vZai
45.6
1.7K
64K
¥4.32 / ¥13Input/Output
70
Zglm-4.6v
glm-4.6vZai
44.8
965
128K
¥2.16 / ¥6.48Input/Output
71
MAmistral-medium-2505
mistral-medium-2505Mistral
44.0
5.7K
262K
¥2.88 / ¥14.4Input/Output
72
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
43.2
5.2K
1.05M
¥1.08 / ¥4.32Input/Output
73
Ogpt-5-nano-high
gpt-5-nano-highOpenai
42.4
2K
400K
¥0.36 / ¥2.88Input/Output
74
Aclaude-3-7-sonnet-20250219-thinking-32k
claude-3-7-sonnet-20250219-thinking-32kAnthropic
41.6
689
-
-
75
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
40.8
820
200K
¥21.6 / ¥108Input/Output
76
Oo1-2024-12-17
o1-2024-12-17Openai
40.0
1.9K
128K
¥108 / ¥432Input/Output
77
MAmistral-small-2506
mistral-small-2506Mistral
39.2
5.8K
262K
¥2.88 / ¥14.4Input/Output
78
Ggemini-1.5-pro-002
gemini-1.5-pro-002Google
38.4
4.8K
-
-
79
MAmistral-small-3.1-24b-instruct-2503
mistral-small-3.1-24b-instruct-2503Mistral
37.6
15.4K
262K
¥2.88 / ¥14.4Input/Output
80
Aqwen2.5-vl-32b-instruct
qwen2.5-vl-32b-instructAlibaba
36.8
870
16.4K
¥0.39 / ¥1.57Input/Output
81
Ggemini-1.5-flash-002
gemini-1.5-flash-002Google
36.0
3.9K
2M
¥0.54 / ¥2.2Input/Output
82
Mllama-4-maverick-17b-128e-instruct
llama-4-maverick-17b-128e-instructMeta
35.2
3.7K
1M
¥1.8 / ¥6.26Input/Output
83
Ogpt-4o-2024-05-13
gpt-4o-2024-05-13Openai
34.4
14.1K
128K
¥36 / ¥108Input/Output
84
STstep-1o-vision-32k-highres
step-1o-vision-32k-highresStepfun
33.6
1.6K
-
-
85
Mllama-4-scout-17b-16e-instruct
llama-4-scout-17b-16e-instructMeta
32.8
3.3K
128K
¥1.44 / ¥5.62Input/Output
86
Aclaude-3-7-sonnet-20250219
claude-3-7-sonnet-20250219Anthropic
32.0
2.2K
200K
¥21.6 / ¥108Input/Output
87
Aclaude-3-5-sonnet-20241022
claude-3-5-sonnet-20241022Anthropic
31.2
5.4K
200K
¥21.6 / ¥108Input/Output
88
Ggemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview-02-05Google
30.4
2.3K
1.05M
¥0.54 / ¥2.16Input/Output
89
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
29.6
13.3K
200K
¥21.6 / ¥108Input/Output
90
Aqwen2.5-vl-72b-instruct
qwen2.5-vl-72b-instructAlibaba
28.8
2.2K
131K
¥16.5 / ¥49.5Input/Output
91
Ogpt-4.1-nano-2025-04-14
gpt-4.1-nano-2025-04-14Openai
28.0
461
1.05M
¥14.4 / ¥57.6Input/Output
92
MApixtral-large-2411
pixtral-large-2411Mistral
27.2
2.9K
128K
¥14.4 / ¥43.2Input/Output
93
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
26.4
685
200K
¥5.76 / ¥28.8Input/Output
94
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
25.6
8.4K
128K
¥72 / ¥216Input/Output
95
Ggemini-1.5-pro-001
gemini-1.5-pro-001Google
24.8
10.6K
-
-
96
AI
molmo-2-8b
molmo-2-8bAllenai
24.0
483
-
-
97
Ogpt-4o-mini-2024-07-18
gpt-4o-mini-2024-07-18Openai
23.2
10.7K
128K
¥1.08 / ¥4.32Input/Output
98
Aqwen-vl-max-1119
qwen-vl-max-1119Alibaba
22.4
755
131K
¥1.66 / ¥4.13Input/Output
99
Ogpt-4o-2024-08-06
gpt-4o-2024-08-06Openai
21.6
1.7K
128K
¥18 / ¥72Input/Output
100
STstep-1v-32k
step-1v-32kStepfun
20.8
839
32.8K
¥14.8 / ¥69Input/Output
101
Ggemini-1.5-flash-8b-001
gemini-1.5-flash-8b-001Google
20.0
3.3K
2M
¥0.54 / ¥2.2Input/Output
102
Aqwen2-vl-72b
qwen2-vl-72bAlibaba
19.2
3.2K
-
-
103
AImolmo-72b-0924
molmo-72b-0924Allenai
18.4
1.6K
-
-
104
UNinternvl2-26b
-
17.6
3.3K
-
-
105
Ggemini-1.5-flash-001
gemini-1.5-flash-001Google
16.8
8.4K
2M
¥0.54 / ¥2.2Input/Output
106
MApixtral-12b-2409
pixtral-12b-2409Mistral
16.0
4.1K
128K
¥1.08 / ¥1.08Input/Output
107
TEhunyuan-standard-vision-2024-12-31
hunyuan-standard-vision-2024-12-31Tencent
15.2
450
-
-
108
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
14.4
9.7K
200K
¥108 / ¥540Input/Output
109
Mllama-3.2-vision-90b-instruct
llama-3.2-vision-90b-instructMeta
13.6
4.6K
131K
¥2.48 / ¥2.48Input/Output
110
AImolmo-7b-d-0924
molmo-7b-d-0924Allenai
12.8
1.5K
-
-
111
UNyi-vision
-
12.0
785
-
-
112
Aqwen2-vl-7b-instruct
qwen2-vl-7b-instructAlibaba
11.2
3K
131K
¥2.07 / ¥5.16Input/Output
113
A
amazon-nova-lite-v1.0
amazon-nova-lite-v1.0Amazon
10.4
1K
300K
¥0.43 / ¥1.73Input/Output
114
CO
c4ai-aya-vision-32b
c4ai-aya-vision-32bCohere
9.6
447
-
-
115
Mllama-3.2-vision-11b-instruct
llama-3.2-vision-11b-instructMeta
8.8
2.6K
131K
¥2.48 / ¥2.48Input/Output
116
Aamazon-nova-pro-v1.0
amazon-nova-pro-v1.0Amazon
8.0
1.3K
300K
¥5.76 / ¥23Input/Output
117
UNinternvl2-4b
-
7.2
2.2K
-
-
118
Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
6.4
7.8K
200K
¥21.6 / ¥108Input/Output
119
UNllava-v1.6-34b
-
5.6
2.8K
-
-
120
Zcogvlm2-llama3-chat-19b
cogvlm2-llama3-chat-19bZai
4.8
1.2K
-
-
121
UNllava-onevision-qwen2-72b-ov
-
4.0
841
-
-
122
NV
nvila-internal-15b-v1
nvila-internal-15b-v1Nvidia
3.2
619
-
-
123
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
2.4
8.4K
200K
¥1.8 / ¥9Input/Output
124
UNminicpm-v-2_6
-
1.6
1.3K
-
-
125
M
phi-3.5-vision-instruct
phi-3.5-vision-instructMicrosoft
0.8
1.6K
128K
¥1.15 / ¥4.61Input/Output
126
Mphi-3-vision-128k-instruct
phi-3-vision-128k-instructMicrosoft
0.0
880
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 3K 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
英文排行榜看什么指标？
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。
英文模型应该怎么选？
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。