OpenAI's previous generation image model with higher quality than DALL-E 2 and support for larger resolutions
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
DALL-E 3
#35 of 44 in Text-to-Image
Not enough comparable category data
The chart appears once both models have ratings across at least three shared arena categories.
FLUX.2 [klein] 4B
#22 of 44 in Text-to-Image
Where the votes landed
DALL-E 3
0%
win rate
Ties
0%
FLUX.2 [klein] 4B
0%
win rate
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.”
AI Judge Analysis
DALL-E 3
- + Exquisite visual detail with highly intricate gothic borders and textures
- + Excellent captures of the requested vintage parchment feel and cinematic lighting
- + Creative interpretation of the central jack-o-lantern within a carved frame
- − Failed significantly on text rendering, with most words being garbled gibberish
- − The 'Halloween Party Invitation' text is split and visually cluttered
FLUX.2 [klein] 4B
- + Successfully included all layout elements including the scroll banner and event details at the bottom
- + Much better legibility of the core event details like the date and location
- + Strong adherence to the 'thorns' element within the webbed border
- − Significant spelling errors in the main title ('Hallbwom Party niisation')
- − Lettering in the scroll contains a typo ('friglts' instead of 'frights')
Verdict: DALL-E 3 creates a much more atmospheric and visually stunning gothic artwork, but it fails completely at the requested text transcription. FLUX.2 [klein] 4B follows the layout and text instructions much more accurately, and although it contains spelling errors, the information is legible enough to be functional as an invitation.
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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