1
O
gpt-image-2 (medium)
gpt-image-2 (medium)Openai
100.0
15.5K
-
¥36.4 / ¥233Input/Output
Image · Text-to-Image · Product & Branding Design Leaderboard
Ranking for Text-to-Image / Product & Branding Design, based on public preference data.
Product & Branding Design model ranking guide
Ranking for Text-to-Image / Product & Branding 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
2
G
gemini-3.1-flash-image-preview (nano-banana-2) [web-search]
gemini-3.1-flash-image-preview (nano-banana-2) [web-search]Google
98.4
27K
131K
¥3.6 / ¥21.6Input/Output
3
M
mai-image-2.5-preview
mai-image-2.5-previewMicrosoft Ai
96.8
1.9K
32K
¥36 / ¥338Input/Output
4
Ggemini-3-pro-image-preview-2k (nano-banana-pro)
gemini-3-pro-image-preview-2k (nano-banana-pro)Google
95.2
39.3K
1.05M
¥14.4 / ¥86.4Input/Output
5
Ogpt-image-1.5-high-fidelity
gpt-image-1.5-high-fidelityOpenai
93.7
44.7K
1M
¥36 / ¥216Input/Output
6
Ggemini-3-pro-image-preview (nano-banana-pro)
gemini-3-pro-image-preview (nano-banana-pro)Google
92.1
26.3K
1.05M
¥14.4 / ¥86.4Input/Output
7
X
grok-imagine-image-quality
grok-imagine-image-qualityXai
90.5
7.7K
1M
¥9 / ¥18Input/Output
8
L
uni-1.1-max
uni-1.1-maxLuma Ai
88.9
3.4K
-
-
9
R
reve-v1.5
reve-v1.5Reve
87.3
5.8K
-
-
10
Luni-1.1
uni-1.1Luma Ai
85.7
3.9K
-
-
11
Xgrok-imagine-image
grok-imagine-imageXai
84.1
62.8K
1M
¥9 / ¥18Input/Output
12
Mmai-image-2
mai-image-2Microsoft Ai
82.5
18.7K
32K
¥36 / ¥338Input/Output
13
BF
flux-2-flex
flux-2-flexBfl
81.0
52.7K
-
-
14
R
recraft-v4.1-utility-pro
recraft-v4.1-utility-proRecraft
79.4
1K
-
-
15
Xgrok-imagine-image-pro
grok-imagine-image-proXai
77.8
34.4K
1M
¥9 / ¥18Input/Output
16
BFflux-2-max
flux-2-maxBfl
76.2
41.7K
-
-
17
BFflux-2-pro
flux-2-proBfl
74.6
53.6K
-
-
18
BFflux-2-dev
flux-2-devBfl
73.0
20.2K
-
-
19
A
qwen-image-2.0-pro-2026-04-22
qwen-image-2.0-pro-2026-04-22Alibaba
71.4
2.2K
8.19K
¥0 / ¥0Input/Output
20
TE
hunyuan-image-3.0
hunyuan-image-3.0Tencent
69.8
55.5K
-
-
21
Ggemini-2.5-flash-image-preview (nano-banana)
gemini-2.5-flash-image-preview (nano-banana)Google
68.3
233K
1.05M
¥2.16 / ¥18Input/Output
22
Gimagen-ultra-4.0-generate-001
imagen-ultra-4.0-generate-001Google
66.7
108K
-
-
23
Awan2.6-t2i
wan2.6-t2iAlibaba
65.1
55.5K
-
-
24
B
seedream-4.5
seedream-4.5Bytedance
63.5
69.2K
-
-
25
Awan2.5-t2i-preview
wan2.5-t2i-previewAlibaba
61.9
68.3K
-
-
26
Rrecraft-v4.1-pro
recraft-v4.1-proRecraft
60.3
1.1K
-
-
27
HI
hidream-o1-image
hidream-o1-imageHidream
58.7
2K
200K
¥108 / ¥432Input/Output
28
Bseedream-4-2k
seedream-4-2kBytedance
57.1
3.5K
-
-
29
Aqwen-image-2512
qwen-image-2512Alibaba
55.6
25K
8.19K
¥3.6 / ¥14.4Input/Output
30
Gimagen-4.0-generate-001
imagen-4.0-generate-001Google
54.0
153.3K
-
-
31
Bseedream-4-fal
seedream-4-falBytedance
52.4
3.2K
-
-
32
Bseedream-5.0-lite
seedream-5.0-liteBytedance
50.8
26.6K
-
-
33
Rrecraft-v4
recraft-v4Recraft
49.2
25.9K
-
-
34
Aqwen-image-2.0-2026-03-03
qwen-image-2.0-2026-03-03Alibaba
47.6
20.6K
8.19K
¥0 / ¥0Input/Output
35
Ogpt-image-1
gpt-image-1Openai
46.0
81.2K
-
¥36 / ¥288Input/Output
36
Awan2.7-image-pro
wan2.7-image-proAlibaba
44.4
11.5K
8.19K
¥0 / ¥0Input/Output
37
Bseedream-4-high-res-fal
seedream-4-high-res-falBytedance
42.9
57.9K
-
-
38
Awan2.7-image
wan2.7-imageAlibaba
41.3
11.6K
8.19K
¥0 / ¥0Input/Output
39
Ogpt-image-1-mini
gpt-image-1-miniOpenai
39.7
58.4K
1M
¥36 / ¥216Input/Output
40
Aqwen-image-prompt-extend
qwen-image-prompt-extendAlibaba
38.1
205.6K
8.19K
¥3.6 / ¥14.4Input/Output
41
Mmai-image-1
mai-image-1Microsoft Ai
36.5
34.5K
32K
¥36 / ¥338Input/Output
42
BFflux-1-kontext-max
flux-1-kontext-maxBfl
34.9
16.6K
-
-
43
I
ideogram-v3-quality
ideogram-v3-qualityIdeogram
33.3
36.8K
-
-
44
Bseedream-3
seedream-3Bytedance
31.7
10.3K
-
-
45
BFflux-2-klein-9b
flux-2-klein-9bBfl
30.2
51.5K
-
-
46
BFflux-1-kontext-pro
flux-1-kontext-proBfl
28.6
91.3K
-
-
47
Aqwen-image
qwen-imageAlibaba
27.0
18K
8.19K
¥3.6 / ¥14.4Input/Output
48
Az-image-turbo
z-image-turboAlibaba
25.4
6.2K
-
-
49
Gimagen-3.0-generate-002
imagen-3.0-generate-002Google
23.8
88K
-
-
50
Iideogram-v2
ideogram-v2Ideogram
22.2
10.3K
-
-
51
Lphoton
photonLuma Ai
20.6
37.1K
-
-
52
Z
glm-image
glm-imageZai
19.0
1.6K
200K
¥5.4 / ¥18.7Input/Output
53
UNp-image
-
17.5
35.9K
-
-
54
R
runway-gen4
runway-gen4Runway
15.9
18.3K
-
-
55
BFflux-2-klein-4b
flux-2-klein-4bBfl
14.3
52.5K
-
-
56
Rrecraft-v3
recraft-v3Recraft
12.7
46.7K
-
-
57
LA
lucid-origin
lucid-originLeonardo Ai
11.1
82.9K
-
-
58
Ggemini-2.0-flash-preview-image-generation
gemini-2.0-flash-preview-image-generationGoogle
9.5
68K
1.05M
¥1.08 / ¥4.32Input/Output
59
BFflux-1.1-pro
flux-1.1-proBfl
7.9
10.1K
-
-
60
BFflux-1-dev-fp8
flux-1-dev-fp8Bfl
6.3
6.4K
-
-
61
Odall-e-3
dall-e-3Openai
4.8
56.3K
-
-
62
BFflux-1-kontext-dev
flux-1-kontext-devBfl
3.2
58.4K
-
-
63
UNstable-diffusion-v35-large
-
1.6
3.1K
0.26K
¥0.58 / ¥0Input/Output
64
Bbagel
bagelBytedance
0.0
3.3K
-
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gpt-image-2 (medium) why it ranks first
gpt-image-2 (medium) ranks first with a percent score of 100.0 and 15.5K 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
产品品牌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。
产品品牌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。