Text Rendering · Text-to-Image
Elo rankings from blind votes across 7 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
5 models waiting for enough speed data.
Best AI Models for Text Rendering
| # | Model | Elo |
|---|---|---|
| 1 | 1277 | |
| 2 | 1275 | |
| 3 | 1264 | |
| 4 | 1255 | |
| 5 | 1253 | |
| 6 | 1253 | |
| 7 | 1247 | |
| 8 | 1243 | |
| 9 | 1242 | |
| 10 | 1241 |
| 11 | 1240 | |
| 12 | 1240 | |
| 13 | 1233 | |
| 14 | 1231 | |
| 15 | 1231 | |
| 16 | 1230 | |
| 17 | 1229 | |
| 18 | 1224 | |
| 19 | 1217 | |
| 20 | 1216 | |
| 21 | 1214 | |
| 22 | 1212 | |
| 23 | 1210 | |
| 24 | 1208 | |
| 25 | 1205 | |
| 26 | 1203 | |
| 27 | 1200 | |
| 28 | 1200 | |
| 29 | 1198 | |
| 30 | 1195 |
GPT Image 1.5 leads the Text Rendering category with a 1277 Elo, edging out the Nano Banana 2 (1275 Elo) despite being significantly more affordable at $0.009 per image. While OpenAI and Google dominate the top three spots, the FLUX.2 [dev] Turbo offers the highest performance for "Fast" models in this category with a 62.6% win rate.
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
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