Black Forest Labs' 12-billion parameter flow transformer for high-quality text-to-image generation, suitable for personal and commercial use with streaming support
Settled by community votes across 1 shared challenge, with an AI judge weighing in on each.
FLUX.1 [dev]
14.9
arena score
#42 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.
Wan 2.7 Pro
21.4
arena score
#29 of 44 in Text-to-Image
Vote tally
Where the votes landed
FLUX.1 [dev]
0%
win rate
Ties
0%
Wan 2.7 Pro
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.1 [dev]
Wan 2.7 Pro
AI Judge Analysis
FLUX.1 [dev]
- + Strong composition with a bold focal point
- + Moody atmospheric lighting with high contrast
- − Significant text errors including 'Lalloween Ranty' and 'You Tre'
- − Simplified graphic style lacks the requested vintage parchment texture
- − Includes redundant time text '7pm, 7pm'
Wan 2.7 Pro
- + Perfect text rendering for all requested information
- + Richly detailed illustration with a true vintage gothic aesthetic
- + Excellent adherence to all prompt elements including webs, thorns, and parchment parchment border
- − The layout is a bit crowded with many small elements
- − The moon is small compared to the scale of the trees
Verdict: Wan 2.7 Pro is the clear winner as it followed every instruction, including complex text requirements, with perfect accuracy. FLUX.1 [dev] struggled significantly with the typography, resulting in spelling errors and a generic graphic design look that failed to capture the 'vintage parchment' feel.
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Alibaba's Wan 2.7 Pro image generation and editing model with higher-quality outputs and support for 4K image generation