| 排名 ⇕ | 模型 ⇕ | |
|---|---|---|
|
›
🥇
|
gemini-1.5-pro-002
Google · Proprietary
|
1220±9.6 |
|
›
🥈
|
gpt-4o-2024-05-13
OpenAI · Proprietary
|
1206±5.2 |
|
›
🥉
|
gemini-1.5-flash-002
Google · Proprietary
|
1206±10.3 |
|
›
4
|
claude-3-5-sonnet-20240620
Anthropic · Proprietary
|
1189±5.5 |
|
›
5
|
claude-3-5-sonnet-20241022
Anthropic · Proprietary
|
1183±10.4 |
|
›
6
|
pixtral-large-2411
Mistral · MRL
|
1156±16.6 |
|
›
7
|
gemini-1.5-pro-001
Google · Proprietary
|
1151±4.9 |
|
›
8
|
gpt-4-turbo-2024-04-09
OpenAI · Proprietary
|
1151±6.1 |
|
›
9
|
gpt-4o-2024-08-06
OpenAI · Proprietary
|
1125±13.3 |
|
›
10
|
gpt-4o-mini-2024-07-18
OpenAI · Proprietary
|
1123±6.5 |
|
›
11
|
qwen2-vl-72b
阿里巴巴 · Qwen
|
1110±11.3 |
|
›
12
|
gemini-1.5-flash-8b-001
Google · Proprietary
|
1107±10.0 |
|
›
13
|
claude-3-opus-20240229
Anthropic · Proprietary
|
1076±6.0 |
|
›
14
|
molmo-72b-0924
Allen AI · Apache 2.0
|
1076±13.4 |
|
›
15
|
gemini-1.5-flash-001
Google · Proprietary
|
1072±6.8 |
|
›
16
|
pixtral-12b-2409
Mistral · Apache 2.0
|
1072±10.2 |
|
›
17
|
llama-3.2-vision-90b-instruct
Meta · Llama 3.2
|
1071±8.8 |
|
›
18
|
internvl2-26b
OpenGVLab · MIT
|
1067±9.8 |
|
›
19
|
qwen2-vl-7b-instruct
阿里巴巴 · Apache 2.0
|
1054±10.1 |
|
›
20
|
claude-3-sonnet-20240229
Anthropic · Proprietary
|
1048±6.7 |
|
›
21
|
yi-vision
01.AI · Proprietary
|
1045±17.2 |
|
›
22
|
llama-3.2-vision-11b-instruct
Meta · Llama 3.2
|
1033±9.6 |
|
›
23
|
molmo-7b-d-0924
Allen AI · Apache 2.0
|
1024±13.9 |
|
›
24
|
internvl2-4b
OpenGVLab · MIT
|
1007±11.6 |
|
›
25
|
claude-3-haiku-20240307
Anthropic · Proprietary
|
1000±0.0 |
|
›
26
|
llava-v1.6-34b
LLaVA · Apache 2.0
|
1000±9.2 |
|
›
27
|
llava-onevision-qwen2-72b-ov
LLaVA · Apache 2.0
|
993±15.7 |
|
›
28
|
cogvlm2-llama3-chat-19b
智谱 AI · CogVLM2
|
990±13.7 |
|
›
29
|
minicpm-v-2_6
OpenBMB · Apache 2.0
|
976±14.2 |
|
›
30
|
phi-3.5-vision-instruct
Microsoft · MIT
|
918±11.9 |
|
›
31
|
phi-3-vision-128k-instruct
Microsoft · MIT
|
874±13.9 |
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