Candid Street Photography
Vote
Text-to-Image
Photorealism
22 models were given the same prompt, and the community voted blind on which outputs looked best. How it works
#1 — Nano Banana Pro
Prompt
“A candid street photo of an elderly Japanese man repairing a red bicycle in light rain, reflections on wet pavement, shallow depth of field, 50mm lens, natural skin texture, imperfect framing, motion blur from passing cars, cinematic but realistic, no stylization.”
Challenge Rankings
| # | Model | Elo |
|---|---|---|
| 1 |
Nano Banana Pro
|
1218 |
| 2 |
Seedream 4.5
|
1216 |
| 3 |
Grok Imagine Image Pro
|
1212 |
| 4 |
FLUX.2 [max]
|
1201 |
| 5 |
Seedream 5.0 Lite
|
1178 |
| 6 |
GPT Image 1.5
|
1174 |
| 7 |
Qwen Image 2512
|
1173 |
| 8 |
GPT Image 1 Mini
|
1171 |
| 9 | ImagineArt 1.5 (Preview) Vyro AI | 1169 |
| 10 |
Imagen 4.0 Fast Generate 001
|
1168 |
| 11 |
Seedream 4.0
|
1164 |
| 12 |
FLUX.2 [pro]
|
1159 |
| 13 |
Grok Imagine Image
|
1156 |
| 14 |
Nano Banana
|
1148 |
| 15 |
Nano Banana 2
|
1147 |
| 16 |
Z-Image Turbo
|
1143 |
| 17 | Stable Diffusion 3.5 Large Stability AI | 1138 |
| 18 |
FLUX.2 [dev]
|
1126 |
| 19 | FLUX.2 [dev] Turbo fal | 1124 |
| 20 |
FLUX.2 [flex]
|
1119 |
| 21 | FLUX.2 [dev] Flash fal | 1106 |
| 22 |
Imagen 4.0 Ultra Generate 001
|
1078 |
Elo vs Cost
Elo vs Speed
9 without speed data omitted.
Highlighted Battles
The most competitive head-to-head matchups, selected by closeness and vote count.
Competitors
22 models, ranked by Elo
1
2
3