Image · Text-to-Image · Portraits Leaderboard

Ranking for Text-to-Image / Portraits, based on public preference data.

Selection guide

Portraits model ranking guide

Ranking for Text-to-Image / Portraits, based on public preference data.

gpt-image-2 (medium)grok-imagine-image-qualitygemini-3.1-flash-image-preview (nano-banana-2) [web-search]mai-image-2.5-previewgpt-image-1.5-high-fidelity
Current DirectoryImage · Text-to-Image · Portraits
Models64
Published2026/05/26
Arena public preference evaluationOriginal leaderboard: Text-to-Image / PortraitsPublished: 2026/05/26Leaderboard dataset: LMArena latest parquetOpen Arena sourceOpen leaderboard dataset
1
gpt-image-2 (medium)
Openai
100.0
8.6K
-
¥36.4 / ¥233Input/Output
2
grok-imagine-image-quality
Xai
98.4
4.2K
1M
¥9 / ¥18Input/Output
3
gemini-3.1-flash-image-preview (nano-banana-2) [web-search]
Google
96.8
15.7K
131K
¥3.6 / ¥21.6Input/Output
4
mai-image-2.5-preview
Microsoft Ai
95.2
1.1K
32K
¥36 / ¥338Input/Output
5
gpt-image-1.5-high-fidelity
Openai
93.7
23.4K
1M
¥36 / ¥216Input/Output
6
gemini-3-pro-image-preview-2k (nano-banana-pro)
Google
92.1
25.5K
1.05M
¥14.4 / ¥86.4Input/Output
7
gemini-3-pro-image-preview (nano-banana-pro)
Google
90.5
20.7K
1.05M
¥14.4 / ¥86.4Input/Output
8
qwen-image-2.0-pro-2026-04-22
Alibaba
88.9
1.3K
8.19K
¥0 / ¥0Input/Output
9
mai-image-2
Microsoft Ai
87.3
10.8K
32K
¥36 / ¥338Input/Output
10
grok-imagine-image
Xai
85.7
38.5K
1M
¥9 / ¥18Input/Output
11
uni-1.1
Luma Ai
84.1
2.1K
-
-
12
grok-imagine-image-pro
Xai
82.5
21K
1M
¥9 / ¥18Input/Output
13
gemini-2.5-flash-image-preview (nano-banana)
Google
81.0
216.4K
1.05M
¥2.16 / ¥18Input/Output
14
imagen-ultra-4.0-generate-001
Google
79.4
112.2K
-
-
15
recraft-v4.1-utility-pro
Recraft
77.8
510
-
-
16
seedream-4.5
Bytedance
76.2
43.3K
-
-
17
uni-1.1-max
Luma Ai
74.6
2K
-
-
18
flux-2-max
Bfl
73.0
25.6K
-
-
19
reve-v1.5
Reve
71.4
3K
-
-
20
qwen-image-2512
Alibaba
69.8
15.7K
8.19K
¥3.6 / ¥14.4Input/Output
21
flux-2-pro
Bfl
68.3
33.6K
-
-
22
imagen-4.0-generate-001
Google
66.7
141.8K
-
-
23
hunyuan-image-3.0
Tencent
65.1
42.5K
-
-
24
recraft-v4.1-pro
Recraft
63.5
595
-
-
25
seedream-4-2k
Bytedance
61.9
3.7K
-
-
26
flux-2-flex
Bfl
60.3
32.4K
-
-
27
seedream-5.0-lite
Bytedance
58.7
15.2K
-
-
28
z-image-turbo
Alibaba
57.1
4.3K
-
-
29
qwen-image-2.0-2026-03-03
Alibaba
55.6
12.5K
8.19K
¥0 / ¥0Input/Output
30
seedream-4-high-res-fal
Bytedance
54.0
40.2K
-
-
31
flux-2-dev
Bfl
52.4
13.3K
-
-
32
wan2.7-image-pro
Alibaba
50.8
6.8K
8.19K
¥0 / ¥0Input/Output
33
wan2.7-image
Alibaba
49.2
6.9K
8.19K
¥0 / ¥0Input/Output
34
wan2.6-t2i
Alibaba
47.6
33.5K
-
-
35
recraft-v4
Recraft
46.0
15.8K
-
-
36
seedream-4-fal
Bytedance
44.4
3.6K
-
-
37
gpt-image-1
Openai
42.9
65.6K
-
¥36 / ¥288Input/Output
38
gpt-image-1-mini
Openai
41.3
33.1K
1M
¥36 / ¥216Input/Output
39
hidream-o1-image
Hidream
39.7
1.1K
200K
¥108 / ¥432Input/Output
40
seedream-3
Bytedance
38.1
10.5K
-
-
41
p-image
-
36.5
22.2K
-
-
42
mai-image-1
Microsoft Ai
34.9
19.5K
32K
¥36 / ¥338Input/Output
43
wan2.5-t2i-preview
Alibaba
33.3
45.1K
-
-
44
flux-2-klein-9b
Bfl
31.7
30.9K
-
-
45
flux-1-kontext-max
Bfl
30.2
19.9K
-
-
46
imagen-3.0-generate-002
Google
28.6
89.4K
-
-
47
qwen-image
Alibaba
27.0
29K
8.19K
¥3.6 / ¥14.4Input/Output
48
flux-1-kontext-pro
Bfl
25.4
96.6K
-
-
49
flux-2-klein-4b
Bfl
23.8
31K
-
-
50
ideogram-v3-quality
Ideogram
22.2
28.4K
-
-
51
qwen-image-prompt-extend
Alibaba
20.6
197.5K
8.19K
¥3.6 / ¥14.4Input/Output
52
flux-1.1-pro
Bfl
19.0
14.2K
-
-
53
lucid-origin
Leonardo Ai
17.5
74.2K
-
-
54
recraft-v3
Recraft
15.9
43.5K
-
-
55
runway-gen4
Runway
14.3
11.2K
-
-
56
photon
Luma Ai
12.7
31.6K
-
-
57
ideogram-v2
Ideogram
11.1
14.5K
-
-
58
glm-image
Zai
9.5
1K
200K
¥5.4 / ¥18.7Input/Output
59
flux-1-dev-fp8
Bfl
7.9
10.6K
-
-
60
gemini-2.0-flash-preview-image-generation
Google
6.3
76.2K
1.05M
¥1.08 / ¥4.32Input/Output
61
flux-1-kontext-dev
Bfl
4.8
64.4K
-
-
62
stable-diffusion-v35-large
-
3.2
5.7K
0.26K
¥0.58 / ¥0Input/Output
63
bagel
Bytedance
1.6
3.5K
-
-
64
dall-e-3
Openai
0.0
60.9K
-
-
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 8.6K 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

人像排行榜看什么指标?

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。

人像模型应该怎么选?

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。