Alibaba's Qwen Image 2.0 Pro model offering higher quality image generation with enhanced detail and accuracy
Settled by community votes across 3 shared challenges, with an AI judge weighing in on each.
Qwen Image 2.0 Pro
#27 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.
Wan 2.7
#34 of 44 in Text-to-Image
Where the votes landed
Qwen Image 2.0 Pro
100.0%
win rate
Ties
0.0%
Wan 2.7
0.0%
win rate
Challenge by challenge
The strongest take from each model on every shared challenge, with the AI judge's read.
Chalkboard Menu
Text-to-Image“Handwritten-style chalkboard menu in a cozy café, all text rendered in the exact same realistic chalk handwriting style with natural variations in letter size, slight slant, and chalk texture — no printed or digital fonts anywhere on the board. Title at the top in elegant cursive chalk handwriting: ‘TODAY’S SPECIALS – APRIL 30, 2026’. Below it, three menu items also in the same handwritten chalk style: ‘Truffle Mushroom Risotto – $24’, ‘Grilled Octopus with Lemon & Herbs – $28’, ‘Brown Butter Chocolate Chip Cookies – $9’. At the very bottom, smaller text in the identical handwritten chalk style (slightly smaller but still clearly legible with the same handwriting characteristics): ‘All items made fresh daily • Ask about our gluten-free options’. Warm ambient café lighting, visible chalk dust and smudges, realistic handwriting imperfections, no clean printed text anywhere.”
AI Judge Analysis
Qwen Image 2.0 Pro
- + Excellent chalk texture with natural graininess and dust effects.
- + Highly realistic handwriting that varies naturally in letter size and slant as requested.
- + Successfully interpreted and completed the truncated 'Brown But...' prompt instruction logically as 'Brown Butter Chocolate Chip Cookies'.
- − The layout is slightly cramped toward the bottom of the board.
Wan 2.7
- + Clean, readable text with consistent spacing and alignment.
- + Good environmental lighting and background composition.
- − The text appears as a digital font overlay rather than natural chalk handwriting.
- − The 'chalk' has a distinct inner shadow/glow effect that looks synthetic.
- − Lacks the requested natural variations and gritty texture associated with real chalk.
Verdict: Qwen Image 2.0 Pro is the clear winner because it followed the instruction for a 'realistic chalk handwriting style' perfectly, including the smudging and texture of actual chalk. In contrast, Wan 2.7 used a digital, font-like script that lacks the physical characteristics of chalk on a board, failing the primary stylistic requirement of the prompt.
The Capybara Taxi Driver
Text-to-Image“Photorealistic scene inside a yellow New York taxi at night. A capybara is driving, wearing a yellow taxi driver cap and a dark jacket. It has a calm, professional expression and both front paws on the steering wheel. In the back seat sits a human businesswoman in a coat, looking at her phone with a completely normal, bored expression (as if this is just another normal ride). Through the windows you can see the streets of Manhattan at night with blurred lights. Realistic taxi interior, photorealistic, detailed fur and fabric, 35mm lens, night lighting with reflections, shallow depth of field.”
AI Judge Analysis
Qwen Image 2.0 Pro
- + Excellent photorealistic texture on the capybara's fur
- + Perfect capture of the bored expression on the businesswoman
- + Accurate interior lighting and reflections from the city streets
- − The capybara's hands look more like human/monkey hands than capybara paws
- − The steering wheel is oddly low relative to the capybara's body
Wan 2.7
- + Better anatomical accuracy for the capybara's paws on the steering wheel
- + Strong side-view composition that shows both the exterior and interior clearly
- + Highly detailed cap design with a badge
- − The fur texture appears slightly more synthetic/rendered than image A
- − The businesswoman's posture and handling of the phone is slightly less natural
Verdict: Both models captured the surreal prompt with high fidelity, but Qwen Image 2.0 Pro produced a more convincing photorealistic atmosphere with superior lighting and human facial expressions. Wan 2.7 performed better on the specific anatomy of the capybara's paws, but the overall cinematic quality of Qwen Image 2.0 Pro makes it the slightly stronger image.
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
Qwen Image 2.0 Pro
- + Excellent atmospheric cinematic lighting with a green glow from the jack-o-lantern
- + Clean and legible text for all requested sections
- + The thorny spiderweb border is very prominent and detailed
- − The parchment texture is a bit dark, making it look more like a digital painting than paper
- − Smaller decorative elements like the bats are a bit repetitive in design
Wan 2.7
- + Beautiful vintage illustration style with a high level of intricate detail
- + Perfectly captures the 'parchment poster' feel with an aged paper aesthetic
- + Balanced and creative composition with many thematic easter eggs like skulls and crows
- − The main title text has some distorted letter forms (e.g., the 'H' and 'P')
- − Missed the 'central' placement for the banner, moving it below the image instead
Verdict: Qwen Image 2.0 Pro produces a very clean, professional digital invitation with superior text rendering and moody lighting. However, Wan 2.7 captures the 'vintage gothic' aesthetic much more effectively with its hand-drawn illustrative style and detailed parchment border, even if its typography is slightly less polished.
Explore each model
Alibaba's Wan 2.7 image generation and editing model for text-to-image, reference-guided generation, and instruction-based image edits