OpenAI's legacy image generation model supporting generations, edits with masks (inpainting), and variations
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
DALL-E 2
17.7
arena score
#37 of 44 in Text-to-Image
Skill signature
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
FLUX.2 [klein] 4B
23.8
arena score
#22 of 44 in Text-to-Image
Vote tally
Where the votes landed
DALL-E 2
0%
win rate
Ties
0%
FLUX.2 [klein] 4B
0%
win rate
Shared challenges
1
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
The Halloween Invitation
Text-to-Image“Vintage gothic Halloween party invitation. Dark parchment poster, spooky border with webs and thorns, central glowing jack-o-lantern, bats, twisted trees, moody night sky. Add elegant gothic title text saying "Halloween Party Invitation", a small scroll banner saying "You are invited to a night of frights", and event details at the bottom: Date: 30.10.2026 Time: 7pm Location: The Arches, NYC Spooky but polished, cinematic lighting, square format.”
DALL-E 2
FLUX.2 [klein] 4B
AI Judge Analysis
DALL-E 2
- + Captures a strong hand-painted vintage parchment aesthetic.
- + Creative use of swirled typography that feels authentic to mid-century horror posters.
- − Fails significantly on text legibility, displaying mostly gibberish.
- − Misses key visual elements like the jack-o-lantern and the thorny border.
- − The image quality is low-resolution and blurry.
FLUX.2 [klein] 4B
- + Excellent adherence to all visual prompts including webs, thorns, and jack-o-lantern.
- + High-quality cinematic lighting and crisp details.
- + Mostly legible text and correct event details included at the bottom.
- − Minor spelling errors in the large title text ('Hallbwom', 'niisation').
- − The composition is a bit template-like compared to the artistic feel of Model A.
Verdict: Model B (FLUX.2 [klein] 4B) is far superior as it successfully includes almost all requested elements and provides a high-resolution, polish look. While it has some spelling errors in the main title, it correctly rendered the specific event details, whereas Model A (DALL-E 2) failed on both image quality and prompt adherence.
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Black Forest Labs' compact, open-source image generation model with sub-second inference, optimized for production and near real-time applications with multi-reference support