FLUX.2 [dev] Turbo vs Wan 2.6

Head-to-head across 5 challenges

FLUX.2 [dev] Turbo

75.0%

win rate

Ties

0.0%

Wan 2.6

25.0%

win rate

75.0% 0.0% ties 25.0%

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.”

FLUX.2 [dev] Turbo
Wan 2.6

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.

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.”

FLUX.2 [dev] Turbo
Wan 2.6
0% wins 0% ties 100% wins

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.

Intricate Floral Mandala

Text-to-Image

“Perfectly symmetrical mandala made entirely of real flowers, petals, leaves, fruits, and seeds in vibrant natural colors, intricate layered patterns with radial symmetry, top-down view on a soft neutral background, hyper-detailed organic textures and subtle shadows, photorealistic, 8K masterpiece.”

FLUX.2 [dev] Turbo
Wan 2.6
100% wins 0% ties 0% wins

AI Judge Analysis

FLUX.2 [dev] Turbo

  • + Exceptional density and layering of organic materials.
  • + Highly photorealistic textures on the fruits and seeds.
  • + Maintains complex radial symmetry across many detailed elements.
  • The lighting is somewhat flat compared to the dramatic shadows in the other model.
  • A few repeating patterns look slightly 'generated' rather than naturally placed.

Wan 2.6

  • + Clean, minimalist composition that clearly showcases all requested categories (flowers, petals, leaves, fruits, seeds).
  • + Effective use of lighting and shadows to give a sense of depth on the flat surface.
  • + Perfectly symmetrical arrangement of distinct elements.
  • Less 'intricate' than Model A, appearing a bit simple for an 8K masterpiece prompt.
  • The textures are smooth and lack the high-frequency detail found in the first image.

Verdict: FLUX.2 [dev] Turbo produces an incredible level of detail and rich, dense layering that truly feels like a 'masterpiece' of organic art. While Wan 2.6 is very clean and accurately includes seeds and dried fruits in a clear way, it lacks the complexity and photorealistic texture depth found in FLUX.2.

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.”

FLUX.2 [dev] Turbo
Wan 2.6

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.”

FLUX.2 [dev] Turbo
Wan 2.6
100% wins 0% ties 0% wins

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