Qwen-Image-Max vs Gemini

Image Generation Benchmark Report
11 February 2026 · 4 tests · 8 images

Executive Summary

Qwen-Image-2.0 was announced on 10 February 2026 by Alibaba's Qwen team, claiming superior text rendering and native 2K output. The model is currently in invitation-only beta; the publicly available qwen-image-max on DashScope was tested instead. This report compares it head-to-head with Gemini nano-banana-pro-preview (the model behind the /gemini-images skill) across four use cases matching the existing image generation templates.

Gemini wins 3–1 overall. Text accuracy, style adherence, and resolution make it the clear choice for the current workflow.
Comic Strip
Gemini
Infographic
Gemini
Presentation
Qwen
Text Rendering
Gemini

1 Comic Strip

A 4-panel comic about a developer over-engineering a simple button with abstraction layers. Hand-drawn colored-pencil style in brand colours.

Qwen qwen-image-max

928×1664 · 2,515 KB
Qwen comic output

Gemini nano-banana-pro-preview

~1500×2000 (2K) · 1,613 KB
Gemini comic output

Analysis

CriteriaQwenGemini
Style match Semi-realistic digital illustration. Not the hand-drawn pencil aesthetic requested. Nails the whimsical colored-pencil look. Exactly on-brand.
Storytelling 3 panels, adequate but compressed narrative. 5 panels with better arc. Added superhero cape gag — creative embellishment.
Speech bubble text Legible, fewer words. More text, all legible, funnier dialogue.
Code/class name labels Garbled and blurry on the Jenga blocks. Readable: "AbstractFactoryProviderManagerService", etc.
Brand colours Generic blue/teal. Not distinctly on-brand. Closer to the turquoise/orange palette specified.
Copyright footer Present and correct. Present and correct.
Winner: Gemini — better style adherence, storytelling, and text accuracy on labels.

2 Infographic

"5 Signs Your AI Strategy Is Actually Working" — portrait infographic with puzzle-piece rocket centrepiece, 5 numbered points, and newsletter CTA footer.

Qwen qwen-image-max

928×1664 · 2,281 KB
Qwen infographic output

Gemini nano-banana-pro-preview

~1856×2304 (2K) · 1,554 KB
Gemini infographic output

Analysis

CriteriaQwenGemini
Title Present and bold. Present, bolder, with better styling.
Central motif Puzzle rocket present, reasonable quality. Excellent puzzle rocket, more whimsical and engaging.
Text accuracy Multiple typos: "ausks" (asks), "juss" (just), "proj oject" (project), "dalloring" (delivering). Dealbreaker. All text correct. Zero typos across all 5 points.
Layout Text down one side only. Less dynamic composition. Text arranged around centrepiece with supporting illustrations (people, gears, charts, rubbish bin).
Footer Says "2024" — wrong year. Correct: "2026", includes chrismdp.com.
Winner: Gemini — decisive. Qwen's text typos and wrong year in the footer are disqualifying for professional use.

3 Presentation Slide

Widescreen 16:9 slide showing an S-curve "AI Adoption Curve" with three labelled phases and an orange "You are here" arrow. Minimalist, max 10 words.

Qwen qwen-image-max

1664×928 · 1,983 KB
Qwen presentation output

Gemini nano-banana-pro-preview

1920×1080 (1K) · 199 KB
Gemini presentation output

Analysis

CriteriaQwenGemini
Data visualisation Excellent. Proper S-curve with dot clusters showing density changes. Reads like a real chart. Abstract swooping line. More artistic but less informative as a data viz.
Text labels All three labels perfect and well-placed on the x-axis. All three labels present and readable.
"You are here" arrow Orange arrow pointing down at the correct position on the curve. Orange arrow present but positioned at the bottom, disconnected from the curve.
Wobbly border Turquoise sketch border, present. Turquoise sketch border, present.
Minimalism Clean, tight, information-dense without clutter. Spacious, visually appealing but curve itself is less useful.
Winner: Qwen — the S-curve with clustered dots is a genuinely better data visualisation. More useful as an actual presentation slide.

4 Text Rendering (Quote Card)

Peter Drucker quote card with precise typography, turquoise border, orange flourishes, and "chrismdp.com" below. This tests pure text rendering — Qwen's claimed strength.

Qwen qwen-image-max

1328×1328 · 1,621 KB
Qwen text rendering output

Gemini nano-banana-pro-preview

1024×1024 (1K) · 106 KB
Gemini text rendering output

Analysis

CriteriaQwenGemini
Quote text Perfect rendering, elegant serif font. Perfect rendering, elegant serif font.
Attribution "— Peter Drucker" — correct. "— Peter Drucker" — correct.
URL text "chrasmedp.com" — misspelled. Letters transposed. "chrismdp.com" — correct.
Orange flourishes Present, small and subtle. Present, more ornate and decorative.
Border Turquoise border present. Turquoise border present.
Overall composition Dark surround outside the border feels off-brand. More compact. Clean, spacious, white surround. On-brand.
Winner: Gemini — ironic given Qwen's text-rendering claims. The misspelled URL ("chrasmedp.com") is exactly the kind of error that can't ship.

Conclusions & Recommendations

Where Gemini excels

Where Qwen excels

Key limitations of Qwen-Image-Max

Recommendation

Stick with Gemini for the /gemini-images skill. Qwen-Image-Max is not a viable replacement for any of the current template types. The text accuracy problems alone are disqualifying — you can't publish infographics with "dalloring" instead of "delivering".

Worth revisiting when Qwen-Image-2.0 gets a public API (currently invitation-only on Bailian). The 2.0 model claims 2048×2048 native output and improved text rendering, which could address the two biggest gaps. Monitor the DashScope model list for a qwen-image-2.0 or updated qwen-image-max model name.

One possible niche use: If you ever need chart/diagram-style slides where data visualisation matters more than brand aesthetics, Qwen could serve as a secondary option.

Test Metadata