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
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
FLUX.2 [klein] 4B
23.8
arena score
#22 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.
Z-Image Turbo
24.7
arena score
#15 of 44 in Text-to-Image
Vote tally
Where the votes landed
FLUX.2 [klein] 4B
0%
win rate
Ties
0%
Z-Image Turbo
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.”
FLUX.2 [klein] 4B
Z-Image Turbo
AI Judge Analysis
FLUX.2 [klein] 4B
- + Excellent cinematic lighting and atmosphere
- + Strong artistic composition with the border integration
- + Clearer rendering of the jack-o-lantern and bats
- − Major spelling errors in the title text and location
- − Failed to include the date correctly (30.10.206)
- − Did not follow the parchment poster texture as clearly as Model B
Z-Image Turbo
- + Near-perfect spelling of the long title and complex date
- + Highly accurate adherence to the 'parchment' and 'scroll banner' elements
- + Very effective use of the thorns and webs border
- − Small typo in the location ('Archves' instead of 'Arches')
- − The pumpkin and background feel slightly more like a 2D cutout compared to Model A
Verdict: Z-Image Turbo is the clear winner because it successfully rendered almost all of the complex text requirements, including the date and the specific phrasing on the banners. While FLUX.2 [klein] 4B had a more polished and cinematic visual style, its failure to spell basic words correctly makes it unusable as an invitation.
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Tongyi-MAI's 6-billion parameter distilled text-to-image model optimized for speed, achieving high-quality generation in 8 steps or fewer with support for bilingual text rendering