FLUX.2 [dev] Turbo vs Wan 2.6
Head-to-head across 6 challenges
FLUX.2 [dev] Turbo
66.7%
win rate
Ties
0.0%
Wan 2.6
33.3%
win rate
Challenge Results
Modern Clean Menu
Text-to-Image“Modern minimalist restaurant menu design, white background with colorful food photos in grid, sections for appetizers/pizza/mains, bold sans-serif fonts, vibrant accents, clean professional layout for casual dining.”
AI Judge Analysis
FLUX.2 [dev] Turbo
- + Clean and authentic bold sans-serif typography for main headings.
- + Well-structured grid layout that separates images and text clearly.
- + Superior photographic quality and lighting in the food images.
- − Logical consistency issues with pricing (e.g., $260 for a pizza).
- − Contains gibberish text in the secondary headings and descriptions.
- − Section headers are messy, with a pizza appearing under the 'Mains' category.
Wan 2.6
- + Excellent colorful accents and geometric framing that feel modern.
- + More realistic casual dining price points (around $1.95 - $8.95).
- + Balanced use of negative space and grid alignment.
- − Severe spelling errors in headers (e.g., 'RESTAUR MENU', 'MAÏNS').
- − Lower clarity in the food photography compared to the other model.
- − Text layout is cluttered with strange symbols and distorted characters.
Verdict: FLUX.2 [dev] Turbo produces much higher quality food photography and cleaner main headers, but the pricing logic and categorization are poor. Wan 2.6 offers a better aesthetic interpretation of 'vibrant accents' and realistic pricing, but fails significantly on text rendering and image sharpness. FLUX.2 [dev] Turbo is the preferred choice for a professional design base due to its superior visual coherence.
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
FLUX.2 [dev] Turbo
- + Excellent chalk texture with realistic smudges and dust.
- + Flawless spelling and adherence to the specific date and menu items.
- + Highly consistent and realistic handwriting style across the entire board.
- − Slightly awkward line breaking on the first item with a floating dollar sign.
Wan 2.6
- + Great chalk dust accumulation at the bottom of the frame.
- + Strong handwriting aesthetic that feels very authentic to a cafe.
- + Correct spelling and adherence to the prompt's specific menu items.
- − Repeats the price '$24' unnecessarily on two lines for the first item.
- − Composition is slightly tilted and cropped more tightly than Model A.
Verdict: Both models performed exceptionally well on complex text rendering, but FLUX.2 [dev] Turbo is the winner due to a cleaner layout and superior text consistency. While Wan 2.6 has excellent environmental details like chalk dust, it had a minor logic error by repeating the price '$24' on two consecutive lines for the same dish.
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
FLUX.2 [dev] Turbo
- + Excellent photorealism in fur texture and lighting
- + Captures the woman in the passenger seat with a very convincing bored expression
- + The taxi sign and interior details look high-quality
- − The woman is in the front passenger seat instead of the back seat as requested
- − The capybara's paws lack clear digits or anatomy
Wan 2.6
- + Follows the spatial instruction correctly by placing the woman in the back seat
- + Dynamic lighting with realistic rain effects on the windows
- + The capybara's pose with paws on the wheel is very natural
- − The woman's hand holding the phone is slightly distorted
- − The texture of the interior seat looks a bit worn or messy
Verdict: While FLUX.2 [dev] Turbo has slightly superior textures, it failed a key spatial requirement by placing the passenger in the front seat. Wan 2.6 correctly positioned the businesswoman in the back seat and captured the requested bored expression and professional capybara demeanor perfectly.
Isometric Miniature Diorama Scenes
Text-to-Image“Create a clear, 45° top-down isometric miniature 3D cartoon scene of Japan's signature dish: sushi, with soft refined textures, realistic PBR materials, gentle lighting, on a small raised diorama base with minimal garnish and plate. Solid light blue background. At top-center: 'JAPAN' in large bold text, 'SUSHI' below it, small flag icon. Perfectly centered, ultra-clean, high-clarity, square format.”
AI Judge Analysis
FLUX.2 [dev] Turbo
- + Excellent text rendering and typography layout
- + High-quality PBR textures on the salmon and rice
- + Clean, professional composition that looks like a stock icon
- − The salmon texture looks slightly more realistic than 'miniature 3D cartoon' style requested
Wan 2.6
- + Stronger adherence to the '3D cartoon' and 'isometric miniature' aesthetic
- + Good variety of sushi types (nigiri, shrimp)
- + Accurate layout of diorama base and text
- − Text layout is slightly crowded compared to Image A
- − The salmon texture is quite simplified and lacks the requested 'refined texture'
Verdict: FLUX.2 [dev] Turbo produced a very polished, professional graphic with superior text rendering and highly detailed materials. Wan 2.6 better captured the 'miniature/cartoon' style requested in the prompt, looking more like a 3D assets set, though its text styling was less refined. FLUX.2 [dev] Turbo is the overall winner for its exceptional clarity and high-end visual appeal.
Vintage Cafe Logo
Text-to-Image“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
AI Judge Analysis
FLUX.2 [dev] Turbo
- + Perfect adherence to text, including the 'Est. 1720' text within a banner.
- + Excellent composition with a balanced emblem style that feels like a professional logo.
- + Consistent and beautiful vintage texture across both the paper and the vector art.
- − None identified.
Wan 2.6
- + Clean vector style with good contrast between light and dark brown tones.
- + Accurate spelling of the restaurant name.
- − The 'Est. 1720' banner is awkwardly placed and lacks the classic design requested.
- − The typography is a bit generic compared to the first model.
- − The background texture is concentrated only on the edges, making it look less integrated.
Verdict: FLUX.2 [dev] Turbo provided a superior result that perfectly captured the 'Est. 1720 banner' requirement with a cohesive, professional emblem design. Wan 2.6 struggled with the placement and style of the banner and offered a more basic interpretation of the typography and texture.
Apollo 11: Journey to Tranquility
Text-to-Image“Create a clean, modern vector infographic poster about the Apollo 11 mission. NASA-inspired palette (navy, white, muted red, light gray). Flat-vector style, crisp lines, consistent iconography, subtle gradients only. Steps (stop at landing): 1. Launch (Saturn Vicon) 2. Earth Orbit (Earth + orbit ring icon) 3. Translunar (trajectory arc icon) 4. Lunar Orbit (Moon + orbit ring icon) 5. Descent (lunar module descending icon) 6. Landing (lunar module on the surface icon) Small supporting elements (minimal text): • Crew strip: three silhouette icons with only last names: Armstrong, Aldrin, Collins. • Landing site marker: Moon pin labeled "Tranquility" only. Layout constraints: generous margins, large readable labels, clean background with subtle stars. Vector-only, print-poster look, high resolution.”
AI Judge Analysis
FLUX.2 [dev] Turbo
- + Excellent prompt adherence, including all requested stages of the mission.
- + High-quality text rendering for labels and headings.
- + Detailed and consistent vector-style illustrations and icons.
- − Redundant elements, such as multiple 'Translunar' and 'Landing' icons that clutter the flow.
- − The Saturn V rocket illustration includes strap-on boosters which were not part of the actual Apollo 11 vehicle.
Wan 2.6
- + Clean, minimalist aesthetic that follows the requested color palette.
- + Crisp text rendering for the title and names.
- − Fails completely on infographic content, missing all 6 requested steps and icons.
- − Large empty space in the center makes the composition feel unfinished.
Verdict: FLUX.2 [dev] Turbo significantly outperformed Wan 2.6 by actually following the complex prompt instructions. While FLUX.2 suffered from some layout redundancy and minor historical inaccuracy in the rocket design, it successfully created a full infographic with readable text and relevant icons, whereas Wan 2.6 failed to include any of the requested mission stages.
FLUX.2 [dev] Turbo
Distilled version of Black Forest Labs' FLUX.2 [dev] outperforming it at a cheaper price. Developed by fal.ai.
Wan 2.6
Alibaba's multimodal generation model from the Wan AI suite, supporting text-to-video, image-to-video, reference-to-video with audio, and text-to-image, in both Chinese and English