Prompt Adherence · Text-to-Image
Elo rankings from blind votes across 9 challenges in this category.
Highlights
10 imagesBest models, by
Best Text-to-Image Models by Price
1 model without pricing omitted.
Best Text-to-Image Models by Speed
6 models waiting for enough speed data.
Best AI Models for Prompt Adherence
| # | Model | Elo |
|---|---|---|
| 1 | 1283 | |
| 2 | 1277 | |
| 3 | 1277 | |
| 4 | 1275 | |
| 5 | 1268 | |
| 6 | 1266 | |
| 7 | 1261 | |
| 8 | 1258 | |
| 9 | 1250 | |
| 10 | 1246 |
| 11 | 1246 | |
| 12 | 1244 | |
| 13 | 1241 | |
| 14 | 1239 | |
| 15 | 1236 | |
| 16 | 1236 | |
| 17 | 1236 | |
| 18 | 1235 | |
| 19 | 1235 | |
| 20 | 1234 | |
| 21 | 1230 | |
| 22 | 1229 | |
| 23 | 1229 | |
| 24 | 1229 | |
| 25 | 1225 | |
| 26 | 1223 | |
| 27 | 1221 | |
| 28 | 1220 | |
| 29 | 1218 | |
| 30 | 1215 |
Google’s Nano Banana Pro leads the category with a 1283 Elo and 77.7% win rate, while GPT Image 2 maintains the highest overall success rate at 84.8% for a lower 1276 Elo. Though current-generation models like FLUX.2 [max] and Nano Banana 2 dominate the top five, there is a significant performance gap compared to the much lower win rates of older models like DALL-E 3 (27.7%) and Stable Diffusion 3.5 Large (41.5%).
Rivalries
Aggregate head-to-head across the arena
Highlighted challenges
The Reversed Rodeo
This competition tests how well AI image models truly understand language versus how much they rely on visual habits from their training data. The prompt is deliberately simple on the surface but devilishly hard in practice. Most models default to the familiar trope of an astronaut riding a horse. By forcing the reversal, we measure three critical capabilities that separate good models from great ones: Strict instruction following (including negations) Accurate subject-object relationships and spatial hierarchy Resistance to strong dataset biases
Geometric Composition
A spatial-reasoning test. Each object has a precise relationship (inside, on top, behind, seen through the glass), so it measures whether a model follows explicit placement instructions and handles transparency and refraction rather than just approximating the scene.
Keep the arena honest
Cast your vote
Pick winners in blind matchups. Every vote nudges the Elo and shapes these rankings.
Cast Your VoteSuggest a prompt
Got an idea worth testing? Submit a prompt and watch the models battle it out.