Nano Banana Pro vs Wan 2.7
Head-to-head across 5 challenges
Nano Banana Pro
50.0%
win rate
Ties
50.0%
Wan 2.7
0.0%
win rate
Challenge Results
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
Nano Banana Pro
- + Excellent chalk texture with realistic dusty smudging on the board.
- + Perfect text rendering with an authentic handwritten feel.
- + Highly realistic cozy café environment and lighting.
- − The date is in a slightly different style than the cursive items below.
Wan 2.7
- + Perfectly legible and accurate text according to the prompt.
- + Good use of decorative elements like the divider lines.
- − The text looks like a digital font rather than actual hand-drawn chalk.
- − The lighting on the text is inconsistent with the board, appearing more like an overlay.
- − The café background is less detailed and atmospheric compared to the other model.
Verdict: Nano Banana Pro wins significantly due to its realistic interpretation of 'chalk texture'. While both models followed the text prompt flawlessly, Nano Banana Pro realistically integrated the text into the scene, whereas Wan 2.7 produced a result that looked like a digital font superimposed onto a chalkboard background.
The Reversed Rodeo
Text-to-Image“Horse riding astronaut in space — horse on top, not vice versa. Surreal, highly detailed, cinematic.”
AI Judge Analysis
Nano Banana Pro
- + Perfectly follows the specific instruction of 'horse on top'
- + Strong surreal aesthetic with the horse wearing a cape and the astronaut supporting its weight
- + Complex background with multiple celestial objects and a satellite
- − The astronaut's hands and the horse's hooves merge awkwardly
- − Slightly muddy lighting on the astronaut's suit
Wan 2.7
- + High clarity and sharpness in the character rendering
- + Clean, cinematic lighting on the horse and suit
- − Completely failed the negative constraint/specific instruction of 'horse on top'
- − Standard, cliché interpretation of the prompt instead of surreal
Verdict: Nano Banana Pro followed the difficult and specific instruction to put the horse on top of the astronaut, resulting in a unique and surreal image. Wan 2.7 produced a higher quality render but ignored the core structural requirement of the prompt, delivering a standard 'astronaut riding a horse' image.
Outfit Transfer Challenge
Editing“Use Image 1 as the base person. Dress them in the exact elaborate outfit from Image 2 (including all layers, accessories, jewelry, and shoes). Carefully adapt the clothing to the body shape and pose in Image 1 while maintaining realistic fabric behavior, correct proportions, and perfect lighting/shadow matching. Keep the person’s exact face, hair, and background completely unchanged.”
AI Judge Analysis
Nano Banana Pro
- + Perfectly replicates the specific clothing, scarf pattern, and watch from Image 2.
- + Maintains high fidelity to the original person's face and background from Image 1.
- + Excellent integration of lighting and fabric physics onto the person's frame.
- − None notable, as it followed all instructions perfectly.
Wan 2.7
- + Retains the original person's face and background.
- − Completely failed to use the specified outfit from Image 2, generating a random robe instead.
- − The proportions of the body appear slightly stretched and unnatural.
- − Lacks the specific layers and accessories requested in the prompt.
Verdict: Nano Banana Pro successfully completed the image editing task by accurately transferring the exact pea coat, plaid scarf, and watch from Image 2 onto the subject of Image 1 while preserving the face and background. Wan 2.7 failed the prompt instructions by creating an entirely different outfit that was not present in either source image.
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
Nano Banana Pro
- + Excellent photorealism and texture on the capybara's fur.
- + Provides a more immersive 'inside the taxi' perspective.
- + Perfectly captures the passenger's bored, normal expression in the background.
- − The steering wheel is a bit small and awkwardly positioned.
- − The capybara's paws look slightly human-like or strangely shaped.
Wan 2.7
- + Features a distinct and recognizable NYC taxi driver cap logo.
- + The lighting on the car's exterior matches the city environment well.
- − The human passenger is sitting in the front passenger seat instead of the back seat.
- − The capybara's fur texture looks slightly more synthetic compared to Model A.
- − The perspective is from outside the car, partially ignoring the 'inside a taxi' instruction.
Verdict: Nano Banana Pro is the winner because it correctly placed the businesswoman in the back seat and captured the 'bored' expression requested in the prompt. While Wan 2.7 has good clarity, it failed the spatial instruction by placing the passenger in the front seat and used an exterior perspective.
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
Nano Banana Pro
- + Excellent cinematic lighting with a moody atmosphere.
- + Perfect text legibility and adherence to the requested gothic font style.
- + High-quality central illustration of the jack-o-lantern and twisted trees.
- − The parchment background is slightly darker, making the spider icons near the border look a bit repetitive.
Wan 2.7
- + Clean, illustrative style with a very organized layout.
- + Included extra thematic elements like skulls, a cauldron, and ravens.
- + Highly accurate text rendering for all requested details.
- − The lighting lacks the 'cinematic' and 'moody' qualities requested, appearing more like a flat illustration.
- − The border thorns look a bit like generic vines rather than the requested 'spooky border with thorns'.
Verdict: Nano Banana Pro captures the requested 'cinematic' and 'moody' atmosphere perfectly, with a superior glowing effect and artistic integration of elements. While Wan 2.7 provides a very clear and detailed layout, it feels more like a standard clip-art illustration rather than a vintage gothic poster.
Nano Banana Pro
Gemini 3 Pro with image generation capabilities. Combines advanced reasoning with the ability to generate and edit images.
Wan 2.7
Alibaba's Wan 2.7 image generation and editing model for text-to-image, reference-guided generation, and instruction-based image edits