Image · Text-to-Image · 3D Image & Model Design Leaderboard

Ranking for Text-to-Image / 3D Image & Model Design, based on public preference data.

Selection guide

3D Image & Model Design model ranking guide

Ranking for Text-to-Image / 3D Image & Model Design, based on public preference data.

gpt-image-2 (medium)gemini-3.1-flash-image-preview (nano-banana-2) [web-search]mai-image-2.5-previewgemini-3-pro-image-preview-2k (nano-banana-pro)gpt-image-1.5-high-fidelity
Current DirectoryImage · Text-to-Image · 3D Image & Model Design
Models64
Published2026/05/26
Arena public preference evaluationOriginal leaderboard: Text-to-Image / 3d ModelingPublished: 2026/05/26Leaderboard dataset: LMArena latest parquetOpen Arena sourceOpen leaderboard dataset
1
gpt-image-2 (medium)
Openai
100.0
3.8K
-
¥36.4 / ¥233Input/Output
2
gemini-3.1-flash-image-preview (nano-banana-2) [web-search]
Google
98.4
7.2K
131K
¥3.6 / ¥21.6Input/Output
3
mai-image-2.5-preview
Microsoft Ai
96.8
484
32K
¥36 / ¥338Input/Output
4
gemini-3-pro-image-preview-2k (nano-banana-pro)
Google
95.2
11.1K
1.05M
¥14.4 / ¥86.4Input/Output
5
gpt-image-1.5-high-fidelity
Openai
93.7
12.1K
1M
¥36 / ¥216Input/Output
6
gemini-3-pro-image-preview (nano-banana-pro)
Google
92.1
8.4K
1.05M
¥14.4 / ¥86.4Input/Output
7
grok-imagine-image-quality
Xai
90.5
1.9K
1M
¥9 / ¥18Input/Output
8
mai-image-2
Microsoft Ai
88.9
4.7K
32K
¥36 / ¥338Input/Output
9
grok-imagine-image
Xai
87.3
16.5K
1M
¥9 / ¥18Input/Output
10
uni-1.1-max
Luma Ai
85.7
733
-
-
11
flux-2-flex
Bfl
84.1
14.4K
-
-
12
hunyuan-image-3.0
Tencent
82.5
16.8K
-
-
13
grok-imagine-image-pro
Xai
81.0
9.7K
1M
¥9 / ¥18Input/Output
14
flux-2-max
Bfl
79.4
11K
-
-
15
uni-1.1
Luma Ai
77.8
883
-
-
16
qwen-image-2.0-pro-2026-04-22
Alibaba
76.2
365
8.19K
¥0 / ¥0Input/Output
17
seedream-4-2k
Bytedance
74.6
963
-
-
18
recraft-v4.1-utility-pro
Recraft
73.0
220
-
-
19
flux-2-pro
Bfl
71.4
14.6K
-
-
20
flux-2-dev
Bfl
69.8
6.1K
-
-
21
wan2.6-t2i
Alibaba
68.3
14.1K
-
-
22
qwen-image-2512
Alibaba
66.7
7.6K
8.19K
¥3.6 / ¥14.4Input/Output
23
gemini-2.5-flash-image-preview (nano-banana)
Google
65.1
74.4K
1.05M
¥2.16 / ¥18Input/Output
24
seedream-4.5
Bytedance
63.5
19.3K
-
-
25
imagen-ultra-4.0-generate-001
Google
61.9
34.8K
-
-
26
reve-v1.5
Reve
60.3
1.6K
-
-
27
seedream-4-fal
Bytedance
58.7
943
-
-
28
wan2.5-t2i-preview
Alibaba
57.1
20K
-
-
29
seedream-5.0-lite
Bytedance
55.6
6.5K
-
-
30
imagen-4.0-generate-001
Google
54.0
47.3K
-
-
31
seedream-4-high-res-fal
Bytedance
52.4
16.1K
-
-
32
gpt-image-1
Openai
50.8
23.7K
-
¥36 / ¥288Input/Output
33
recraft-v4.1-pro
Recraft
49.2
250
-
-
34
hidream-o1-image
Hidream
47.6
493
200K
¥108 / ¥432Input/Output
35
gpt-image-1-mini
Openai
46.0
16K
1M
¥36 / ¥216Input/Output
36
mai-image-1
Microsoft Ai
44.4
9.9K
32K
¥36 / ¥338Input/Output
37
seedream-3
Bytedance
42.9
2.8K
-
-
38
qwen-image-2.0-2026-03-03
Alibaba
41.3
5K
8.19K
¥0 / ¥0Input/Output
39
qwen-image-prompt-extend
Alibaba
39.7
63.3K
8.19K
¥3.6 / ¥14.4Input/Output
40
wan2.7-image
Alibaba
38.1
2.5K
8.19K
¥0 / ¥0Input/Output
41
wan2.7-image-pro
Alibaba
36.5
2.4K
8.19K
¥0 / ¥0Input/Output
42
flux-1-kontext-max
Bfl
34.9
4.7K
-
-
43
flux-2-klein-9b
Bfl
33.3
13K
-
-
44
recraft-v4
Recraft
31.7
6.7K
-
-
45
z-image-turbo
Alibaba
30.2
1.9K
-
-
46
qwen-image
Alibaba
28.6
6.8K
8.19K
¥3.6 / ¥14.4Input/Output
47
flux-1-kontext-pro
Bfl
27.0
28.3K
-
-
48
flux-1.1-pro
Bfl
25.4
5.9K
-
-
49
imagen-3.0-generate-002
Google
23.8
31.2K
-
-
50
photon
Luma Ai
22.2
11.4K
-
-
51
flux-2-klein-4b
Bfl
20.6
13.1K
-
-
52
p-image
-
19.0
9.9K
-
-
53
ideogram-v3-quality
Ideogram
17.5
10.7K
-
-
54
glm-image
Zai
15.9
483
200K
¥5.4 / ¥18.7Input/Output
55
lucid-origin
Leonardo Ai
14.3
26.3K
-
-
56
runway-gen4
Runway
12.7
4.3K
-
-
57
recraft-v3
Recraft
11.1
16.5K
-
-
58
ideogram-v2
Ideogram
9.5
6.1K
-
-
59
dall-e-3
Openai
7.9
20.3K
-
-
60
flux-1-dev-fp8
Bfl
6.3
3.9K
-
-
61
gemini-2.0-flash-preview-image-generation
Google
4.8
21.6K
1.05M
¥1.08 / ¥4.32Input/Output
62
stable-diffusion-v35-large
-
3.2
1.6K
0.26K
¥0.58 / ¥0Input/Output
63
flux-1-kontext-dev
Bfl
1.6
17.9K
-
-
64
bagel
Bytedance
0.0
846
-
-
Top model analysis

gpt-image-2 (medium) why it ranks first

gpt-image-2 (medium) ranks first with a percent score of 100.0 and 3.8K samples. Use it as the first option for this leaderboard, then compare price, context and availability.

How to choose

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.

FAQ

FAQ

3D 图片模型设计排行榜看什么指标?

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。

3D 图片模型设计模型应该怎么选?

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。