Man and Car in California
Vote
Image Editing
Photorealism
13 models were given the same image and edit instruction, and the community voted blind on which outputs looked best. How it works
#1 — GPT Image 1.5
Edit instruction
“Make a photo of the man driving the car down the California coastline”
Challenge Rankings
| # | Model | Elo |
|---|---|---|
| 1 |
GPT Image 1.5
OpenAI
|
1291 |
| 2 |
Nano Banana Pro
Google
|
1287 |
| 3 |
Wan 2.6
Alibaba
|
1269 |
| 4 |
Qwen Image Edit 2511
Alibaba
|
1268 |
| 5 |
Nano Banana
Google
|
1266 |
| 6 |
Nano Banana 2
Google
|
1261 |
| 7 |
FLUX.2 [pro]
Black Forest Labs
|
1259 |
| 8 |
FLUX.2 [flex]
Black Forest Labs
|
1247 |
| 9 |
FLUX.2 [max]
Black Forest Labs
|
1240 |
| 10 |
Seedream 4.5
ByteDance
|
1217 |
| 11 |
Seedream 5.0 Lite
ByteDance
|
1192 |
| 12 |
Grok Imagine Image
xAI
|
1178 |
| 13 |
Seedream 4.0
ByteDance
|
1136 |
GPT Image 1.5 leads the challenge with a 1291 Elo, offering the highest quality-to-price ratio at just $0.009 per image despite being the slowest model. Alibaba’s Wan 2.6 and Qwen Image Edit 2511 nearly match the top performers' Elo scores while operating significantly faster and at roughly half the price of the premium-tier Nano Banana Pro (1287 Elo).
Elo vs Cost
Elo vs Speed
1 without speed data omitted.
Competitors
13 models, ranked by Elo
1
2
3
Highlighted Battles
The most competitive head-to-head matchups, selected by closeness and vote count.
